The DOI matches its Crossref record.
Predicting energy expenditure with loads while standing or walking very slowly
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Pandolf et al 6 -72 ± 463 468 0.29 -51 ± 88 102 0.79”
From Metabolic Costs of Military Load Carriage over Complex Terrain (2018) · cites this paper as [6]
In the citing paper
“However, it should be noted that comparable samples were used in many of the original load carriage studies 22 including the datasets used to validate the Minetti et al 13 (n = 10), Pandolf et al 6 (n = 6), and Santee et al 8 (n = 16) equations.”
From Metabolic Costs of Military Load Carriage over Complex Terrain (2018) · cites this paper as [6]
In the citing paper
“Although a number of existing travel rate functions exist, they fail to sufficiently account for the vast diversity of landscape conditions that impede foot travel3–11.”
From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [11]
In the citing paper
“However, given their relative low slope, ground surface stability, and lack of vegetation impedance, roads and trails tend to promote maximally efficient travel, where available [8,10,16,17].”
From Escape Route Index: A Spatially-Explicit Measure of Wildland Firefighter Egress Capacity (2019) · cites this paper as [16]
In the citing paper
“Finally, the validity of existing explanations for the substantial differences in walking economy observed across different surface gradients (3,8,49,54,56) is largely unknown.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [56]
In the citing paper
“56) equations corresponded to 15.8 and 13.4%, respectively, of the overall mean measured for the validation group subjects across all of the trials completed (2.13/13.5 ϭ 15.8 and 1.81/13.5 ϭ 13.4%).”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [56]
In the citing paper
“The two predictive equations with greatest conditional breadth, those of Pandolf et al. (56) and the American College of Sports Medicine (ACSM) (3), are the most widely used.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as Pandolf et al. [56]
In the citing paper
“The Pandolf et al. (56) equations tended to underpredict level and declined values while also overpredicting the values obtained on positive grades.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [56]
In the citing paper
“The overall predictive error for ACSM was larger, as was the zero error baseline vs. the equation of Pandolf et al. (56).”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as Pandolf et al. [56]
In the citing paper
“For both the ACSM and Pandolf et al. (56) equations, the standard errors of estimate were nearly twice as large and exhibited bias predominantly across grade.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as Pandolf et al. [56]
In the citing paper
“The greater conditional breadth of the Pandolf et al. (56) model equation resulted in slightly better overall performance (Figs. 4, E and F, 5, E and F, and 6, E and F) vs. the ACSM model equation.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as Pandolf et al. [56]
In the citing paper
“The inability of skeletal muscle to convert lost gravitational potential energy into accumulated chemical energy reveals the physiologically unsound foundation of this prevailing approach (3,8,17,25,56,78).”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [56]
In the citing paper
“The absolute accuracy of the ACSM equation also declined marginally vs. the prediction of the unloaded values in part I, whereas that of the Pandolf et al. (56) equation improved marginally by 0.1 ml O 2 •kg Ϫ1 •min Ϫ1 .”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as Pandolf et al. [56]
In the citing paper
“In contrast, both the ACSM (3); and Pandolf et al. (56) model equations are amalgams of a series of smaller studies and data sets (for ACSM, see Refs 17 and 55; for Pandolf et al, see Refs. 25”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [56]
In the citing paper
“Более сложные формулы учитывают комплекс факторов, таких как масса тела человека и переносимого им груза, коэффициент фактора местности и скорость пере-движения, позволяя прогнозировать метаболические затраты на передвижение [Pandolf, Givoni, Goldman, 1977].”
From GIS optimal path modeling for analyzing paleolithic settlement systems: methodological issues (2026) · cites this paper as Pandolf, Givoni, Goldman, 1977
In the citing paper
“Overall energy expenditure is also determined by other variables such as carried load, movement speed, and grade or ground slope [3–5], each with readily identifiable effects.”
From Human walking in the real world: interactions between terrain type, gait parameters, and energy expenditure (2021) · cites this paper as [4]
In the citing paper
“However, other algorithms (Pandolf, Givoni & Goldman 1977; Van Leusen 2000) have been constructed to calculate cost through energy expenditure, which we suggest are a better fit for testing the movement of construction timbers.”
From A least cost analysis: correlative modeling of the chaco regional road system (2019) · cites this paper as Pandolf, Givoni & Goldman 1977
In the citing paper
“The above case studies demonstrate that measuring costs through the Pandolf, Givoni & Goldman’s (1977) function and calculating movement along a roadway corridor offer the best method to model correlative pathways across the unmodified Chaco landscape.”
From A least cost analysis: correlative modeling of the chaco regional road system (2019) · cites this paper as Pandolf, Givoni & Goldman 1977
In the citing paper
“have been constructed to calculate cost through energy expenditure, which we suggest are a better fit for testing the movement of construction timbers.”
From A least cost analysis: correlative modeling of the chaco regional road system (2019) · cites this paper as Pandolf, Givoni & Goldman 1977
In the citing paper
“However, other algorithms (Pandolf, Givoni & Goldman 1977; Van Leusen 2000) have been constructed to calculate cost through energy expenditure, which we suggest are a better fit for testing the movement of construction timbers.”
From A least cost analysis: correlative modeling of the chaco regional road system (2019) · cites this paper as Pandolf, Givoni & Goldman 1977
In the citing paper
“Givoni and Goldman (1971) and Pandolf et al. (1977) developed prediction equations for the metabolic cost of load-carrying while walking on different terrains and slopes.”
From Preferred walking speed on rough terrain: is it all about energetics? (2019) · cites this paper as Pandolf et al. (1977)
In the citing paper
“Both of those studies utilized a terrain factor η that represents the effect of the surface type on metabolic rate.”
From Preferred walking speed on rough terrain: is it all about energetics? (2019) · cites this paper as Pandolf et al., 1977
In the citing paper
“This procedure produced terrain factors of 1.9 and 3.1 for Givoni and Goldman (1971) and Pandolf et al. (1977), respectively.”
From Preferred walking speed on rough terrain: is it all about energetics? (2019) · cites this paper as Pandolf et al., 1977
In the citing paper
“Note that although the Pandolf et al. (1977) equation is used more commonly, the prediction equation of Givoni and Goldman (1971) had the best match to our rough terrain data (lowest RMSE).”
From Preferred walking speed on rough terrain: is it all about energetics? (2019) · cites this paper as Pandolf et al., 1977
In the citing paper
“The most established is the equation by Pandolf et al. (5) which was originally formulated from several relatively small treadmill and overground walking datasets (6–8) to include speed, load, and positive-only gradient capabilities.”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as Pandolf et al. [5]
In the citing paper
“Forecasts of the energy cost of this formula were able to be verified by several test phases on individuals from different classes of age and sex (Epstein et al. 1987;Pandolf et al. 1976Pandolf et al. , 1977) ) by varying the speed and the load carried.”
From Mobility of paleolithic populations: biomechanical considerations and spatiotemporal modelling (2021) · cites this paper as Pandolf et al. 1977
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Items 301–400 of 473
A comprehensive spatial model for historical travel effort - a case study in Finland
Rantanen, T., Tolvanen, H., Honkola, T., & Vesakoski, O. (2021) · Fennia · doi:10.11143/fennia.98357 · Cited by 6
Cognitive and physiological performance of soldiers while carrying loads over various terrains
Crowell, H. P., Krausman, A. S., Harper, W. H., Faughn, J. A., Sharp, M. A., Mello, R. P., Smith, T., & Patton, J. F. (1999) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193129904302408 · Cited by 5
Campbell, M. J., Gannon, B. M., Rahman, O., Stratton, R. D., & Dennison, P. E. (2024) · Fire · doi:10.3390/fire7080292 · Cited by 5
Effects of modern military footwear on the oxygen costs of walking in US Army personnel
Lavoie, E. M., Holden, L. D., Vangala, S. V., Santee, W. R., Pryor, R. R., Friedl, K. E., Potter, A. W., & Looney, D. P. (2023) · Footwear Science · doi:10.1080/19424280.2022.2164622 · Cited by 5
Analysing the sacred landscape in the Iberian Culture: GIS, caves and ritual performance
López, S. M., & Castillo, A. D. (2023) · Zephyrvs · doi:10.14201/zephyrus202290135158 · Cited by 5
Wang, Z., ATAKAN, M. M., Yan, X., Turnagöl, H. H., Duan, H., & Peng, L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246303 · Cited by 5
Sun, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-12403-1 · Cited by 5
A Spatial Network Analysis of Water Distribution from Public Fountains in Pompeii
Notarian, M. (2022) · American Journal of Archaeology · doi:10.1086/722233 · Cited by 5
Sparks, S. A., Orme, D., & McNaughton, L. R. (2012) · Applied Ergonomics · doi:10.1016/j.apergo.2012.09.005 · Cited by 5
Burdon, C. A., Park, J., Tagami, K., Groeller, H., & Sampson, J. A. (2017) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000002349 · Cited by 5
An energetic model of foraging optimization: wild chimpanzee hammer selection for nut-cracking
Sirianni, G., Luncz, L. V., & Gratton, P. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108674218.009 · Cited by 5
Awais, M., Krzywinski, S., Wölfling, B.-M., & Classen, E. (2021) · Journal of Engineered Fibers and Fabrics · doi:10.1177/15589250211041361 · Cited by 5
EFFECT OF ADDED MASS ON HUMAN UNIPEDAL HOPPING AT THREE FREQUENCIES
Austin, G. P. (2003) · Perceptual and Motor Skills · doi:10.2466/pms.97.6.605-612 · Cited by 5
Loaded and unloaded foot movement differentiation using chest mounted accelerometer signatures
Clements, C. M., Moody, D., Potter, A. W., Seay, J. F., Fellin, R. E., & Buller, M. J. (2013) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2013.6575524 · Cited by 5
de Müllenheim, P., Chaudru, S., Gernigon, M., Mahé, G., Bickert, S., Prioux, J., Noury-Desvaux, B., & Faucheur, A. L. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/10/1741 · Cited by 5
Real-Time Physiological and Psycho-Physiological Status Monitoring
Hoyt, R. W., Buller, M. J., Gunga, H.-C., Werner, A. T., Sattler, F. A., Koch, J., Nevola, V. R., Ledderhos, C., & Valk, P. J. L. (2010) · TNO Repository · Cited by 5
Campos-Garzón, P., Valle-Muñoz, V. M., Segura-Díaz, J. M., Ávila‐García, M., Saucedo‐Araujo, R. G., Ruiz‐Alarcón, A., Centeno, F. D. L., Floc’h, U. A. P. D. A. L., Alcántara, J. M. A., Medel‐Carbonell, L. M., et al. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1467227 · Cited by 4
Frenierre, J. L. (2009) · Digital Commons - DU (University of Denver) · Cited by 4
Load carriage physiology in normoxia and hypoxia
Baur, D., Baur, K. G., Buchanan, B. K., Ortiz, M. J., & Doody, A. G. (2023) · European Journal of Applied Physiology · doi:10.1007/s00421-023-05320-2 · Cited by 4
Measuring and Predicting Total Energy Expenditure Among Highly Active Humans in Natural Environments
Ocobock, C. J. (2014) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k7mw2f4q · Cited by 4
Effects of Body Armor and Load Carriage on Lower Limb Joint Movement
Park, H., Branson, D. H., Petrova, A., Peksoz, S., GOAD, C. L., Warren, A. J., Jacobson, B. H., & Kamenidis, P. (2014) · Human performance in extreme environments · doi:10.7771/2327-2937.1049 · Cited by 4
Effect of radio transmitters on energy expenditure of takahe
Godfrey, J., & Bryant, D. M. (2003) · Cited by 4
Rivas, E. (2019) · International journal of exercise science · doi:10.70252/tgkr1297 · Cited by 4
Gutiérrez, O. R., Madroñal, D. J., & Pérez, J. M. (2020) · Zephyrvs · doi:10.14201/zephyrus202085109138 · Cited by 4
Two isothermal challenges yield comparable physiological and subjective responses
Klous, L., Psikuta, A., Gijsbertse, K., Mol, D., van Schaik, M. G., Daanen, H. A. M., & Kingma, B. (2020) · European Journal of Applied Physiology · doi:10.1007/s00421-020-04494-3 · Cited by 4
Cruz, J., & Yang, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267120 · Cited by 4
Energy Cost of Walking and Running
Bunc, V. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.102773 · Cited by 4
Pellerine, L. P., Petterson, J. L., Shivgulam, M. E., Johansson, P. J., Hettiarachchi, P., Kimmerly, D. S., Frayne, R. J., & O'Brien, M. W. (2023) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2023.2188118 · Cited by 4
Some Ergonomics Issues in the Design of Personal Protective Devices
ABEYSEKERA, J. D. A. (1992) · doi:10.1520/stp19194s · Cited by 4
Physiological stresses associated with television camera operators' tasks
ASFOUR, S. S., Waly, M. I., Genaidy, A., & Gonzalez, R. M. (1988) · Applied Ergonomics · doi:10.1016/0003-6870(88)90074-9 · Cited by 4
Effect of food intake on exercise fatigue in trained and untrained subjects
Arieli, A., Epstein, Y., Brill, S., Winer, M., & Shapiro, Y. (1985) · European Journal of Applied Physiology · doi:10.1007/bf00426148 · Cited by 4
Jauregi, A. P., Hidalgo, G. M., Bentley, D. J., GRIMSHAW, P. N., & Cámara, J. (2021) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2021.103227 · Cited by 3
A Prototype Forest Fire Decision Support System for Uttarakhand, India
Yadav, N., Rakholia, S., Moore, P., Calderón, L. P. P., Midhun Kumar, R., & Yosef, R. (2025) · Fire · doi:10.3390/fire8040149 · Cited by 3
DenHartog, E., Rubenstein, C. D., Deaton, A. S., & Bogerd, C. P. (2016) · Annals of Work Exposures and Health · doi:10.1093/annweh/wxw019 · Cited by 3
Energy Expenditure of Level Overground Walking in Young Adults: Comparison With Prediction Equations
Xue, J., Li, S., Wen, R., & Hong, P. (2021) · Journal of Physical Activity and Health · doi:10.1123/jpah.2020-0283 · Cited by 3
Load Carriage for Emergency Responders
Orr, R. M., Lockie, R. G., Saari, A., Paavola, T., Mühlbauer, D., & Dawes, J. J. (2022) · Strength and conditioning journal · doi:10.1519/ssc.0000000000000768 · Cited by 3
Awais, M., Krzywinski, S., & Kyosev, Y. K. (2021) · Fibres and Textiles in Eastern Europe · doi:10.5604/01.3001.0015.2727 · Cited by 3
Effect of long-distance load marching on physiological responses at desert environment
Arya, K., Yadav, A., Bhattacharyya, D., Chatterjee, S., & Pal, M. (2022) · BLDE University Journal of Health Sciences · doi:10.4103/bjhs.bjhs_73_22 · Cited by 3
Load increases IMU signal attenuation per step but reduces IMU signal attenuation per kilometre
Fain, A. C., Nindl, B. C., McCarthy, A. M., FULLER, J. T., WILLS, J. A., & Doyle, T. L. A. (2024) · Gait & Posture · doi:10.1016/j.gaitpost.2024.08.003 · Cited by 3
Vickery-Howe, D. M., Drain, J. R., Clarke, A. C., Dascombe, B. J., Hoolihan, B., & Middleton, K. J. (2024) · Ergonomics · doi:10.1080/00140139.2024.2400125 · Cited by 3
Emergence of multiple foraging strategies under competition
Kim, H., Subedi, M., & Josić́, K. (2025) · Mathematical Biosciences · doi:10.1016/j.mbs.2025.109377 · Cited by 3
Energetic Path Finding across Massive Terrain Data
Tsui, A. N., & Wood, Z. J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-10520-3_84 · Cited by 3
Ward, J., Coats, J., & Pourmoghaddam, A. (2014) · Journal of Human Kinetics · doi:10.2478/hukin-2014-0110 · Cited by 3
Behavior modeling through CHAOS for simulation of dismounted soldier operations
Ubink, E. M., Aldershoff, F., Lotens, W. A., & Woering, A. A. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.774650 · Cited by 3
Simulando una vía de comunicación: el tramo de la vía romana entre el Coll de Panissars y Girona
Fernández, J. I. F. (2008) · RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya) · Cited by 3
Policies to Optimize Work Performance and Thermal Safety in Exercising Humans
Buller, M. J., Sodomka, E., Tharion, W. J., Clements, C. M., Hoyt, R. W., & Jenkins, O. C. (2013) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v27i2.18990 · Cited by 3
Wearable Upper Body Suit for Assisting Human Load Carriage
Park, J., Stegall, P., Agrawal, S. K., Yarlagadda, S., Tierney, J., Sharma, S., & Gillespie, J. W. (2015) · ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE) · doi:10.1115/detc2015-47973 · Cited by 3
Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
Beck, B., Ham, D. J., Best, S. A., Carstairs, G. L., Savage, R. J., Straney, L. D., & Caldwell, J. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158418 · Cited by 3
Experimental Study on the Effect of Air Cooling Garment on Skin Temperature and Microclimate
Liu, H., Liying, G., You, B., Tianyu, L., & Congying, O. (2018) · Springer eBooks · doi:10.1007/978-981-13-1420-9_63 · Cited by 3
New Geospatial Technologies Leading to New Strategies: The Case of Kerkenes Dağ, Turkey
Branting, S. (2012) · SpringerBriefs in archaeology. Archaeological heritage management/SpringerBriefs in archaeology/Springer briefs in archaeological heritage management · doi:10.1007/978-1-4614-6074-9_19 · Cited by 3
Physiological, Biomechanical, and Maximal Performance Evaluation of Medium Rucksack Prototypes
Hasselquist, L., Bensel, C. K., Brown, M. L., O’Donovan, M. P., Coyne, M. E., Gregorczyk, K. N., Adams, A. A., & Kirk, J. (2013) · Cited by 3
Velasco, A. (2018) · Lund University Publications Student Papers (Lund University) · Cited by 3
Burenhult, G. (2002) · Universitätsbibliothek Tübingen · doi:10.15496/publikation-2422 · Cited by 3
Estimating loaded, inclined walking energetics: No functional difference between added and body mass
Ludlow, L. W., & Weyand, P. G. (2016) · 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2016.7516279 · Cited by 2
Adpo, A. T., & Bigard, A. X. (2001) · Cited by 2
Multi-Criteria Framework for Routing on Access Land: A Case Study on Dartmoor National Park
Sprent, R. F., Haworth, J., Cavazzi, S., & Ilyankou, I. (2024) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi13040130 · Cited by 2
Social and health impacts of exoskeleton use on care workers
Saurio, R., Pekkarinen, S., Säynäjäkangas, P., Mänttäri, S. K., Rauttola, A.-P., Oksa, J., & Melkas, H. (2025) · Work · doi:10.1177/10519815251336912 · Cited by 2
Hirst, J., Singarayer, J. S., Lombardo, U., & Mayle, F. E. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325104 · Cited by 2
Performance Enhancement Through Physical Activity at High Altitudes
Majumdar, D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813999-8.00014-8 · Cited by 2
Kluis, L., Wynn, C., Kennedy, D. M., & Diaz‐Artiles, A. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00627.2024 · Cited by 2
Gkikas, G., PAPANGELIS, G., Mantzios, K., Ioannou, L. G., & Flouris, A. D. (2025) · Industrial Health · doi:10.2486/indhealth.2025-0088 · Cited by 2
Investigating the effect of clothing layers and their frictional properties on metabolic rate
Dorman, L. E., & Havenith, G. (2007) · Loughborough University Institutional Repository (Loughborough University) · Cited by 2
Temperature homeostatis and work efficiency in the cold.
Эвальдович, Д. В., Gm, D., & Krivoschekov, S. G. (2007) · PubMed · Cited by 2
Survey of Opinions and Judgments on Load Carrying among Soldiers Engaged in Combat
Sampson, J. B., Weismantel, J. T., Dean, C. E., & DuPont, F. J. (2004) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120404801006 · Cited by 2
Fuzzy Modeling of Combined Manual Materials-Handling Capacities
Jiang, B. C., & Smith, J. L. D. (1986) · Advances in human factors/ergonomics · doi:10.1016/b978-0-444-42723-6.50029-5 · Cited by 2
Interpretation of Zinc Status Indicators in a Strenuously Exercising Population
Dolev, E., Burstein, R., Lubin, F., Wishnizer, R., Chetrit, A., Shefi, M., & Deuster, P. A. (1995) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(95)00125-5 · Cited by 2
Energy expenditure analysis of wilderness backpacking participants
Chumbley, S. P. (2014) · Montana State University ScholarWorks (Montana State University) · Cited by 2
Interlaboratory manikin testing, mathematical modeling, and human research dataPreprint
Potter, A. W., Hunt, A. P., Rioux, T. P., Looney, D. P., & Fogarty, A. L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4905884 · Cited by 2
Terrain coefficients for predicting energy costs of walking over snow
Richmond, P., Potter, A. W., Looney, D. P., & Santee, W. R. (2021) · US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core) · doi:10.21079/11681/41602 · Cited by 2
Correcting field measurements in outdoor walking research
Looney, D. P., Santee, W. R., Potter, A. W., Bonventre, P., Pryor, J. L., & Friedl, K. E. (2022) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00797.2021 · Cited by 2
Exploring biases in heat tolerance testing with a conceptual heat balance approach
Marcel‐Millet, P., Gagnon, D., & Malgoyre, A. (2025) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2025.104085 · Cited by 1
25 years of military load carriage
Vine, C. A. J., & Schofield, N. (2025) · Experimental Physiology · doi:10.1113/ep092409 · Cited by 1
Linssen, L., Klous, L., Reinten, J., Psikuta, A., Catoire, M., & Kingma, B. (2025) · International Journal of Biometeorology · doi:10.1007/s00484-025-02962-z · Cited by 1
Effects of load, speed and gradient on physiological responses of rice mill workers in load carrying
Chhetry, B. S. K., & Dewangan, K. N. (2025) · Work · doi:10.1177/10519815251394882 · Cited by 1
Stress Fractures: Introduction, Risk Factors, and Distribution
Mann, G., Hetsroni, I., Constantini, N., Dolev, E., Palmanovich, E., Finsterbush, A., Keltz, E., Mei-Dan, O., Eshed, I., Marom, N., et al. (2014) · Springer eBooks · doi:10.1007/978-3-642-36801-1_293-1 · Cited by 1
Knapik, J. J., Hickey, C. A., Ortega, S. V., Nagel, J., & de Pontbriand, R. J. (1998) · Ergonomics in Design The Quarterly of Human Factors Applications · doi:10.1177/106480469800600103 · Cited by 1
Modelling the effects of personal protective clothing properties on the increase of metabolic rate
Dorman, L. E., & Havenith, G. (2007) · Loughborough University Institutional Repository (Loughborough University) · Cited by 1
Morin, E. L., Reid, S. A., Steven, J. M., Lee, A., & Hare, C. (2007) · Cited by 1
Whelan, C. S., & Roualdes, E. A. (2018) · Hunter Gatherer Research · doi:10.3828/hgr.2018.32 · Cited by 1
Carlén, A., Aneq, M. Å., Nylander, E., & Gustafsson, M. (2015) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12265 · Cited by 1
Walking energy expenditure: A loaded approach to algorithm development
Ludlow, L. W., & Weyand, P. G. (2015) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2015.7299351 · Cited by 1
Bach, A. J. E., Borg, D. N., Costello, J. T., & Stewart, I. B. (2015) · Extreme Physiology & Medicine · doi:10.1186/2046-7648-4-s1-a78 · Cited by 1
Rubenstein, C. (2014) · NCSU Libraries Repository (North Carolina State University Libraries) · Cited by 1
Modelling Human Performance in Maritime Interdiction Operations
Dobbins, T. D., Stark, J. M., Myers, S., & Mantzouris, G. (2010) · Cited by 1
Morin, E. L., Stevenson, J. M., Reid, S. A., & Bryant, J. T. (2005) · Defense Technical Information Center (DTIC) · Cited by 1
Whole‐Body Human Computational Models and the Effect of Clothing
Pavlinić, D. Z., & Wissler, E. H. (2018) · Wiley eBooks · doi:10.1002/9781119127420.ch5 · Cited by 1
The Development of a Mathematical Human Thermal Model
Wissler, E. H. (2018) · Springer eBooks · doi:10.1007/978-3-662-57397-6_10 · Cited by 1
Effect of Structure, Color and Finish on the MIR Emission and NIR Absorption of Knitted Textiles
Bauer, B. (2021) · Journal of Textile Science & Fashion Technology · doi:10.33552/jtsft.2021.07.000674 · Cited by 1
Jin, X. I., Carithers, T., & Loftin, M. (2021) · International journal of exercise science · doi:10.70252/pltk5079 · Cited by 1
Byrd, B. F., & Brandy, P. (2023) · Interdisciplinary Contributions to Archaeology/Interdisciplinary contributions to archaeology · doi:10.1007/978-3-031-27330-8_66 · Cited by 1
Clavero‐Jimeno, A., Mármol-Pérez, A., Dote‐Montero, M., Ruiz, J. R., & Alcántara, J. M. A. (2024) · European Journal of Sport Science · doi:10.1002/ejsc.12180 · Cited by 1
Human Fluid Balance and Dehydration During Cold Weather Military Operations.
Freund, B. J., & Sawka, M. N. (1994) · Cited by 1
Energetic Path Finding Across Massive Terrain Data
Tsui, A. N. (2009) · DigitalCommons - CalPoly (California State Polytechnic University) · doi:10.15368/theses.2009.67 · Cited by 1
Bradshaw, C. J. A., Williams, A. N., Ulm, S., Cadd, H., Bird, M. I., Crabtree, S. A., White, D. A., Veth, P., & Saltré, F. (2022) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/s6hya · Cited by 1
Ramón, A. G. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.09.548254 · Cited by 1
Caron, N. (2017) · theses.fr (ABES) · doi:10.70675/1e6fa961ze502z41d8za0f1zbe09d9b80e6f · Cited by 1
Exploring the inherent affordability for movement in past landscapes
Parcero-Oubiña, C., & Solana-Muñoz, A. (2027) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-026-09813-0
GIS optimal path modeling for analyzing paleolithic settlement systems: methodological issues
Marchenko, D. V. (2026) · Problems of Archaeology, Ethnography, Anthropology of Siberia and Neighboring Territories · doi:10.17746/2658-6193.2026.32.1.110-114
Progress and prospects of quantitative simulation research on ancient human migration paths
Wang, L., Peng, P., Liu, X., & Chen, F. (2025) · Chinese Science Bulletin · doi:10.1360/tb-2025-0148
Gait Dynamics and Locomotor Metabolism
Weyand, P. G. (2011) · Defense Technical Information Center (DTIC) · doi:10.21236/ada612318
Metadata
- Authors
- Pandolf, K. B., Givoni, B., & Goldman, R. F.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 1977-10-01
- Volume
- 43
- Issue
- 4
- Pages
- 577-581
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2238368310
- Semantic Scholar
- 4e18133fff165f8b4909d53e77fd5d7883cd581d
- Cited by
- 474
- References
- 0
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 32 · 2020: 18 · 2019: 29 · 2018: 27 · 2017: 24 · 2016: 18 · 2015: 24 · 2014: 24 · 2013: 15 · 2012: 21
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Keywords
- energy expenditure estimation, slow walking, physical workload
- MeSH terms
- Body Weight, Energy Metabolism, Physical Exertion, Humans, Locomotion, Male
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
