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Encoding fear intensity in human sweat

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Time experience during social distancing: A longitudinal study during the first months of COVID-19 pandemic in Brazil

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Greening the roads: Assessing the role of electric and hybrid vehicles in curbing CO 2 emissions

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A Deep Neural Network-Based Pain Classifier Using a Photoplethysmography Signal

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A Diabetic Disease Prediction Model Based on Classification Algorithms

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Using reflectance spectroscopy for detecting land-use effects on soil quality in drylands

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Estimating black soldier fly larvae biowaste conversion performance by simulation of midgut digestion

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Robust estimation of spatially varying common-mode components in GPS time-series

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Outlier exclusion procedures must be blind to the researcher’s hypothesis.

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External Scientific Report on the Interpretation of Data from the Developmental Neurotoxicity In Vitro Testing Assays for Use in Integrated Approaches for Testing and Assessment

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Student Perspectives of Online Teaching and Learning During the COVID-19 Pandemic

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Actigraphy-derived sleep health profiles and mortality in older men and women

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Is democracy under threat? Why belief in conspiracy theories predicts autocratic attitudes

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The Incremental Contribution of Complex Problem-Solving Skills to the Prediction of Job Level, Job Complexity, and Salary

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Very short-term load forecasting on factory level – A machine learning approach

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Anomaly Detection Using Dynamic Time Warping

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Polarimetric second-harmonic generation microscopy of the hierarchical structure of collagen in stage I-III non-small cell lung carcinoma

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Executive dysfunction predicts social cognition impairment in amyotrophic lateral sclerosis

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The clock is ticking—Or is it? Customer satisfaction response to waiting shorter vs. longer than expected during a service encounter

Caruelle, D., Lervik-Olsen, L., & Gustafsson, A. (2023) · Journal of Retailing · doi:10.1016/j.jretai.2023.03.003 · Cited by 58

Using the daylight savings clock change to show ambient light conditions significantly influence active travel

Uttley, J., & Fotios, S. A. (2017) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2017.06.003 · Cited by 44

Cognitive flexibility in preschool children with and without stuttering disorders

Eichorn, N., Marton, K., & Pirutinsky, S. (2017) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2017.11.001 · Cited by 47

USE: An integrative suite for temporally-precise psychophysical experiments in virtual environments for human, nonhuman, and artificially intelligent agents

Watson, M., Voloh, B., Thomas, C., Hasan, A., & Womelsdorf, T. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108374 · Cited by 44

Cortical thickness lateralization and its relation to language abilities in children

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Investigation of Machine Learning Methods for Structural Safety Assessment under Variability in Data: Comparative Studies and New Approaches

Sarmadi, H. (2021) · Journal of Performance of Constructed Facilities · doi:10.1061/(asce)cf.1943-5509.0001664 · Cited by 44

Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System

Majjodi, A. E., Starke, A. D., & Trattner, C. (2022) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3503252.3531312 · Cited by 45

Urban landcover differentially drives day and nighttime air temperature across a semi-arid city

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An extended Hilbert transform method for reconstructing the phase from an oscillatory signal

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3D Localization With a Single Partially-Connected Receiving RIS: Positioning Error Analysis and Algorithmic Design

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A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction

Shaon, M. S. H., Karim, T., Shakil, M. S., & Hasan, M. Z. (2024) · Healthcare Analytics · doi:10.1016/j.health.2024.100353 · Cited by 43

Evidence accumulation as a model for lexical selection

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When ambient noise impairs parent-offspring communication

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Knowing You, Seeing Me

Jensen, W., Hansen, S., & Knoche, H. O. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173939 · Cited by 43

Revealing Clothing Does Not Make the Object: ERP Evidences That Cognitive Objectification is Driven by Posture Suggestiveness, Not by Revealing Clothing

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Data-driven parallelizable traffic incident detection using spatio-temporally denoised robust thresholds

Chakraborty, P., Hegde, C., & Sharma, A. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.05.034 · Cited by 43

Leaders’ creation of shared identity impacts group members’ effort and performance: Evidence from an exercise task

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Parental Solicitation and Adolescents’ Information Management: The Moderating Role of Autonomy-Supportive Parenting

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Transportation noise impairs cardiovascular function without altering sleep: The importance of autonomic arousals

Thiesse, L., Rudzik, F., Kraemer, J. F., Spiegel, K., Leproult, R., Wessel, N., Pieren, R., Héritier, H., Eze, I. C., Foraster, M., et al. (2019) · Environmental Research · doi:10.1016/j.envres.2019.109086 · Cited by 43

Estimated prevalence of eating disorders in Singapore

Chua, S. N., Fitzsimmons‐Craft, E. E., Austin, S. B., Wilfley, D. E., & Taylor, C. B. (2020) · International Journal of Eating Disorders · doi:10.1002/eat.23440 · Cited by 49

Improving hyperspectral image segmentation by applying inverse noise weighting and outlier removal for optimal scale selection

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Family socioeconomic status and Chinese high school students’ test anxiety: Serial mediating role of parental psychological control, learning resources, and student academic self‐efficacy

Xu, X., Xia, M., & Pang, W. (2021) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12750 · Cited by 49

Thinking more or thinking differently? Using drift-diffusion modeling to illuminate why accuracy prompts decrease misinformation sharing

Lin, H., Pennycook, G., & Rand, D. G. (2022) · Cognition · doi:10.1016/j.cognition.2022.105312 · Cited by 51

Deep CNN-LSTM Network for Indoor Location Estimation Using Analog Signals of Passive Infrared Sensors

Ngamakeur, K., Yongchareon, S., Yu, J., & Sheng, Q. Z. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3183148 · Cited by 42

Who can nudge for sustainable development? How nudge source renders dynamic norms (in-)effective in eliciting sustainable behavior

Boenke, L., Panning, M., Thurow, A., Hörisch, J., & Loschelder, D. D. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.133246 · Cited by 44

An experimental manipulation of the value of effort

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Quantification of the efficacy of collagen cross-linking agents to induce stiffening of rat sclera

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Shifting between mental sets: An individual differences approach to commonalities and differences of task switching components.

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The effect of loading frequency and plants on the degradation of sulfamethoxazole and diclofenac in vertical-flow constructed wetlands

Sochacki, A., Nowrotek, M., Felis, E., Kalka, J., Ziembińska-Buczyńska, A., Bajkacz, S., Ciesielski, S., & Miksch, K. (2018) · Ecological Engineering · doi:10.1016/j.ecoleng.2018.08.003 · Cited by 43

Gait variability and symmetry remain consistent during high-intensity 10,000 m treadmill running

Hanley, B., & Tucker, C. B. (2018) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2018.08.008 · Cited by 42

Goal Difficulty and Creative Performance: The Mediating Role of Stress Appraisal

Espedido, A., & Searle, B. J. (2018) · Human Performance · doi:10.1080/08959285.2018.1499024 · Cited by 46

Outlier Detection Based on Low Density Models

Iglesias, F., Zseby, T., & Zimek, A. (2018) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2018.00140 · Cited by 42

Mind Your Own Business: A Longitudinal Study of Threats and Vulnerabilities in Enterprises

Kotzias, P., Bilge, L., Vervier, P., & Caballero, J. (2019) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2019.23522 · Cited by 42

Tears evoke the intention to offer social support: A systematic investigation of the interpersonal effects of emotional crying across 41 countries

Zickfeld, J., van de Ven, N., Pich, O., Schubert, T. W., Berkessel, J. B., Pizarro, J. J., Bhushan, B., Mateo, N. J., Barbosa, S., Sharman, L. S., et al. (2021) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2021.104137 · Cited by 48

Enhanced Accuracy Simulator for a Future Korean Nationwide eLoran System

Rhee, J. H., Kim, S., Son, P.-W., & Seo, J. (2021) · IEEE Access · doi:10.1109/access.2021.3105063 · Cited by 42

Ambient health sensing on passive surfaces using metamaterials

Nguyen, D. T., Zeng, Q., Tian, X., Chia, P., Wu, C., Liu, Y., & Ho, J. S. (2024) · Science Advances · doi:10.1126/sciadv.adj6613 · Cited by 41

Reconstruction-based Deep Unsupervised Adaptive Threshold Support Vector Data Description for wind turbine anomaly detection

Peng, D., Desmet, W., & Gryllias, K. (2025) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2025.110995 · Cited by 49

Intelligent energy based status identification as a platform for improvement of machine tool efficiency and effectiveness

O’Driscoll, E., Kelly, K., & O’Donnell, G. E. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.01.058 · Cited by 41

QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization

Zhao, S., Li, X., Quan, J., Xi, H. S., Zhang, Y., von Schack, D., Vincent, M. S., & Zhang, B. (2016) · BMC Genomics · doi:10.1186/s12864-015-2356-9 · Cited by 41

Bargaining zone distortion in negotiations: The elusive power of multiple alternatives

Schaerer, M., Loschelder, D. D., & Swaab, R. I. (2016) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2016.09.001 · Cited by 41

Executive function in learning mathematics by comparison: incorporating everyday classrooms into the science of learning

Begolli, K. N., Richland, L. E., Jaeggi, S. M., Lyons, E. M., Klostermann, E. C., & Matlen, B. J. (2018) · Thinking & Reasoning · doi:10.1080/13546783.2018.1429306 · Cited by 46

Estuarine Sediments Exhibit Dynamic and Variable Biogeochemical Responses to Hypoxia

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Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

Blume, S. A., Blume, S. A., Thiede, S., & Herrmann, C. A. (2020) · Journal of Manufacturing and Materials Processing · doi:10.3390/jmmp4040097 · Cited by 42

Cerebrovascular Reactivity Across the Entire Brain in Cerebral Amyloid Angiopathy

Beaudin, A. E., McCreary, C. R., Mazerolle, E. L., Gee, M., Sharma, B., Subotic, A., Zwiers, A. M., Cox, E., Nelles, K., Charlton, A., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200136 · Cited by 41

A Quantitative Study of the Impact of Organizational Culture, Communication Management, and Clarity in Project Scope on Constructions’ Project Success with Moderating Role of Project Manager’s Competencies to Enhance Constructions Management Practices

Muneer, M. A., Khan, N., Hussain, M. A., Zhang, S., Khan, A. A., Farooq, R., Moawwez, M. A., & Tariq, M. A. U. R. (2022) · Buildings · doi:10.3390/buildings12111856 · Cited by 63

Pain of Paying? A Metaphor Gone Literal: Evidence from Neural and Behavioral SciencePreprint

Mažar, N., Plaßmann, H., & Robitaille, N. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2901808 · Cited by 43

English compound and non-compound processing in bilingual and multilingual speakers: Effects of dominance and sequential multilingualism

Alonso, J. G., Villegas, J., & Mayo, M. D. P. G. (2016) · Second language Research · doi:10.1177/0267658316642819 · Cited by 40

Connectome-Based Prediction of Optimal Weight Loss Six Months After Bariatric Surgery

Zhang, W., Ji, G., Manza, P., Li, G., Hu, Y., Wang, J., Lv, G., He, Y., von Deneen, K. M., Han, Y., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa374 · Cited by 40

Response mechanism and rapid detection of phenotypic information in rice root under heavy metal stress

Wang, W., Man, Z., Li, X., Chen, R., You, Z., Pan, T.-T., Dai, X., Xiao, H., & Liu, F. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131010 · Cited by 40

Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests

Pourrahmati, M. R., Baghdadi, N. N., & Fayad, I. (2023) · Remote Sensing · doi:10.3390/rs15061522 · Cited by 40

DocuCompass: Effective exploration of document landscapes

Heimerl, F., John, M., Han, Q., Koch, S., & Ertl, T. (2016) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2016.7883507 · Cited by 40

Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy

Peng, J., Liu, F., Shen, T., Ye, L., Kong, W., Wang, W., Liu, X., & He, Y. (2018) · Sensors · doi:10.3390/s18020621 · Cited by 40

Removal and transformations of diclofenac and sulfamethoxazole in a two-stage constructed wetland system

Sochacki, A., Felis, E., Bajkacz, S., Nowrotek, M., & Miksch, K. (2018) · Ecological Engineering · doi:10.1016/j.ecoleng.2018.07.039 · Cited by 41

Focused attention predicts visual working memory performance in 13-month-old infants: A pupillometric study

Cheng, C., Káldy, Z., & Blaser, E. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100616 · Cited by 40

Active sound production of scarab beetle larvae opens up new possibilities for species-specific pest monitoring in soils

Görres, C., & Chesmore, D. (2019) · Scientific Reports · doi:10.1038/s41598-019-46121-y · Cited by 38

Tracing the fate of phosphorus fertilizer derived cadmium in soil-fertilizer-wheat systems using enriched stable isotope labeling

Bracher, C., Frossard, E., Bigalke, M., Imseng, M., Mayer, J., & Wiggenhauser, M. (2021) · Environmental Pollution · doi:10.1016/j.envpol.2021.117314 · Cited by 41

A meta-analysis of the effects of Montessori education on five fields of development and learning in preschool and school-age children

Demangeon, A., Claudel-Valentin, S., Aubry, A., & Tazouti, Y. (2023) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2023.102182 · Cited by 55

Daily space-time activities, multiple environmental exposures, and anxiety symptoms: A cross-sectional mobile phone-based sensing study

Lan, Y., Roberts, H., Kwan, M., & Helbich, M. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155276 · Cited by 39

Validity of an artificial intelligence, human pose estimation model for measuring single-leg squat kinematics

Haberkamp, L. D., Garcia, M. C., & Bazett-Jones, D. M. (2022) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2022.111333 · Cited by 39

Updating memories of unwanted emotions during human sleep

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Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection

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Multi-temporal mesoscale hyperspectral data of mixed agricultural and grassland regions for anomaly detection

McCann, C., Repasky, K. S., Lawrence, R. L., & Powell, S. L. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.07.015 · Cited by 39

Questioning the automaticity of audiovisual correspondences

Getz, L. M., & Kubovy, M. (2018) · Cognition · doi:10.1016/j.cognition.2018.02.015 · Cited by 38

Where to attend next: guiding refreshing of visual, spatial, and verbal representations in working memory

Souza, A. S., Vergauwe, E., & Oberauer, K. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13621 · Cited by 39

Relative cerebral hyperperfusion during cardiopulmonary bypass is associated with risk for postoperative delirium: a cross-sectional cohort study

Thudium, M. O., Ellerkmann, R. K., Heinze, I., & Hilbert, T. (2019) · BMC Anesthesiology · doi:10.1186/s12871-019-0705-y · Cited by 39

Reliability and validity of measures of attentional bias towards threat in unselected student samples: seek, but will you find?

Bockstaele, B. V., Lamens, L., Salemink, E., Wiers, R. W. H. J., Bögels, S. M., & Nikolaou, K. (2019) · Cognition & Emotion · doi:10.1080/02699931.2019.1609423 · Cited by 38

Heart rate and swimming activity as indicators of post-surgical recovery time of Atlantic salmon (Salmo salar)

Føre, M., Svendsen, E., Økland, F., Gräns, A., Alfredsen, J. A., Finstad, B., Hedger, R. D., & Uglem, I. (2021) · Animal Biotelemetry · doi:10.1186/s40317-020-00226-8 · Cited by 39

Striatal Afferent BDNF Is Disrupted by Synucleinopathy and Partially Restored by STN DBS

Miller, K. M., Patterson, J. R., Kochmanski, J. J., Kemp, C. J., Stoll, A. C., Onyekpe, C. U., Cole-Strauss, A., Steece‐Collier, K., Howe, J. W., Luk, K. C., et al. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1952-20.2020 · Cited by 37

The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers’ situational awareness: A driving simulator experiment

Bakhshi, A. K., Gaweesh, S. M., & Ahmed, M. M. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.04.017 · Cited by 39

Stay at home! When personality profiles influence mental health and creativity during the COVID-19 lockdown

Michinov, E., & Michinov, N. (2021) · Current Psychology · doi:10.1007/s12144-021-01885-3 · Cited by 44

Influence of travel time and distance to the hospital of care on stillbirths: a retrospective facility-based cross-sectional study in Lagos, Nigeria

Banke-Thomas, A. O., Avoka, C., Gwacham-Anisiobi, U., & Beňová, L. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2021-007052 · Cited by 37

Endothelial permeability following coronary artery bypass grafting: an observational study on the possible role of angiopoietin imbalance

Hilbert, T., Duerr, G. D., Hamiko, M., Frede, S., Rogers, L. K., Baumgarten, G., Hoeft, A., & Velten, M. (2016) · Critical Care · doi:10.1186/s13054-016-1238-0 · Cited by 39

Anomaly detection for construction vibration signals using unsupervised deep learning and cloud computing

Meng, Q., & Zhu, S. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101907 · Cited by 40

Specific health beliefs mediate sex differences in food choice

Egele, V. S., & Stark, R. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1159809 · Cited by 38

Data science: Use median absolute deviation instead of z-score to detect outliers

Lin, H. (2019)

Detection of outliersPreprint

Velarde, S. A. (2026) · OSF Preprints (OSF Preprints)

How not to MISS an outlier: comparing three classic univariate methods and introducing a new one, the MAD–IQR–SD Simultaneous (MISS).Preprint

Pech, G. P., Caspar, É. A., Amerio, P., Cleeremans, A., Leys, C., Leys, C., & Vaccaro, N. (2026) · doi:10.31234/osf.io/2r9yw_v1

Robustness of sample mean and sample median under restrictions on outliers

Zielinski, R. J. (1987) · Applicationes Mathematicae · doi:10.4064/am-19-2-239-240 · Cited by 6

Outlier Tests in Sample Surveys

Namkyung, P., & Lee, J. S. (2000) · Communications for Statistical Applications and Methods