Generalized Additive Models: An Introduction with R

Do higher public debt levels reduce economic growth?

Heimberger, P. (2022) · Journal of Economic Surveys · doi:10.1111/joes.12536 · Cited by 107

Time trends in mental health indicators in Germany's adult population before and during the COVID-19 pandemic

Mauz, E., Walther, L., Junker, S., Kersjes, C., Damerow, S., Eicher, S., Hölling, H., Müters, S., Peitz, D., Schnitzer, S., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1065938 · Cited by 115

Climate and population density drive changes in cod body size throughout a century on the Norwegian coast

Rogers, L. A., Stige, L. C., Olsen, E. M., Knutsen, H., Chan, K., & Stenseth, N. C. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010314108 · Cited by 96

Using empirical social contact data to model person to person infectious disease transmission: An illustration for varicella

Ogunjimi, B., Hens, N., Goeyvaerts, N., Aerts, M., Damme, P. V., & Beutels, P. (2009) · Mathematical Biosciences · doi:10.1016/j.mbs.2008.12.009 · Cited by 91

Effects of elevated atmospheric [ CO2 ] on instantaneous transpiration efficiency at leaf and canopy scales in E ucalyptus saligna

Barton, C. V. M., Duursma, R. A., Medlyn, B. E., Ellsworth, D. S., Eamus, D., Tissue, D. T., Adams, M. A., Conroy, J. P., Crous, K. Y., Liberloo, M., et al. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02526.x · Cited by 90

Informativeness is a determinant of compound stress in English

Bell, M. J., & Plag, I. (2012) · Journal of Linguistics · doi:10.1017/s0022226712000199 · Cited by 91

Wheat and barley can increase grain yield in shade through acclimation of physiological and morphological traits in Mediterranean conditions

Arenas-Corraliza, M. G., Rolo, V., López-Díaz, M. L., & Moreno, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-46027-9 · Cited by 90

Range edges of North American marine species are tracking temperature over decades

Fredston, A., Pinsky, M. L., Selden, R. L., Szuwalski, C., Thorson, J. T., Gaines, S. D., & Halpern, B. S. (2021) · Global Change Biology · doi:10.1111/gcb.15614 · Cited by 90

Measuring and assessing the physical impact of beam trawling

Depestele, J., Ivanović, A., Degrendele, K., Esmaeili, M., Polet, H., Roche, M., Summerbell, K., Teal, L. R., Vanelslander, B., & O’Neill, F. G. (2015) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsv056 · Cited by 92

Using delta generalized additive models to produce distribution maps for spatially explicit ecosystem models

Grüss, A., Drexler, M., & Ainsworth, C. H. (2014) · Fisheries Research · doi:10.1016/j.fishres.2014.05.005 · Cited by 91

Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit

Arnold, D., Tomaschek, F., Sering, K. F., Lopez, F., & Baayen, R. H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174623 · Cited by 81

Mild drought in the vegetative stage induces phenotypic, gene expression, and DNA methylation plasticity in Arabidopsis but no transgenerational effects

Dooren, T. J. M. V., Silveira, A. B., Gilbault, E., Jiménez‐Gómez, J. M., Martin, A., Bach, L., Tisné, S., Quadrana, L., Loudet, O., & Colot, V. (2020) · Journal of Experimental Botany · doi:10.1093/jxb/eraa132 · Cited by 98

Climate change impacts on seabirds and marine mammals: The importance of study duration, thermal tolerance and generation time

Orgeret, F., Thiebault, A., Kovacs, K. M., Lydersen, C., Hindell, M. A., Thompson, S. A., Sydeman, W. J., & Pistorius, P. A. (2021) · Ecology Letters · doi:10.1111/ele.13920 · Cited by 92

Causal Inference With Observational Data and Unobserved Confounding Variables

Byrnes, J. E. K., & Dee, L. E. (2025) · Ecology Letters · doi:10.1111/ele.70023 · Cited by 111

Mapping snow depth return levels: smooth spatial modeling versus station interpolation

Blanchet, J., & Lehning, M. (2010) · Hydrology and earth system sciences · doi:10.5194/hess-14-2527-2010 · Cited by 90

Effect of active vitamin D treatment on development of type 2 diabetes: DPVD randomised controlled trial in Japanese population

Kawahara, T., Suzuki, G., Mizuno, S., Inazu, T., Kasagi, F., Kawahara, C., Okada, Y., & Tanaka, Y. (2022) · BMJ · doi:10.1136/bmj-2021-066222 · Cited by 96

Studying interactions among anthropogenic stressors in freshwater ecosystems: A systematic review of 2396 multiple‐stressor experiments

Orr, J., Macaulay, S. J., Mordente, A., et al. (2024) · Ecology Letters · doi:10.1111/ele.14463 · Cited by 89

Detecting threatened biodiversity by urbanization at regional and local scales using an urban sprawl simulation approach: Application on the French Mediterranean region

Vimal, R., Géniaux, G., Pluvinet, P., Napoléone, C., & Lepart, J. (2011) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2011.11.003 · Cited by 89

Geographically and environmentally driven spawning distributions of tuna species in the western Mediterranean Sea

Reglero, P., Ciannelli, L., Alvarez-Berastegui, D., Balbín, R., López-Jurado, J., & Alemany, F. (2012) · Marine Ecology Progress Series · doi:10.3354/meps09800 · Cited by 89

Increased incidence of congenital hypothyroidism in France from 1982 to 2012: a nationwide multicenter analysis

Barry, Y., Bonaldi, C., Goulet, V., Coutant, R., Léger, J., Paty, A.-C., Delmas, D., Cheillan, D., & Roussey, M. (2016) · Annals of Epidemiology · doi:10.1016/j.annepidem.2015.11.005 · Cited by 86

Age‐dependent trait variation: the relative contribution of within‐individual change, selective appearance and disappearance in a long‐lived seabird

Zhang, H., Vedder, O., Becker, P. H., & Bouwhuis, S. (2014) · Journal of Animal Ecology · doi:10.1111/1365-2656.12321 · Cited by 84

Ambient Fine Particulate Matter, Nitrogen Dioxide, and Term Birth Weight in New York, New York

Savitz, D. A., Bobb, J. F., Carr, J. L., Clougherty, J. E., Dominici, F., Elston, B., Ito, K., Ross, Z., Yee, M., & Matte, T. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt268 · Cited by 88

Positive Economic, Psychosocial, and Physiological Ecologies Predict Brain Structure and Cognitive Performance in 9–10-Year-Old Children

Gonzalez, M. R., Palmer, C. E., Uban, K. A., Jernigan, T. L., Thompson, W. K., & Sowell, E. R. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.578822 · Cited by 86

Probability and surprisal in auditory comprehension of morphologically complex words

Balling, L. W., & Baayen, R. H. (2012) · Cognition · doi:10.1016/j.cognition.2012.06.003 · Cited by 87

Predictors of outcome in fungal keratitis

Prajna, N. V., Krishnan, T., Mascarenhas, J., Srinivasan, M., Oldenburg, C. E., Toutain-Kidd, C. M., Sy, A., McLeod, S. D., Zegans, M. E., Acharya, N. R., et al. (2012) · Eye · doi:10.1038/eye.2012.99 · Cited by 85

Excess mortality in the United States during the first three months of the COVID-19 pandemic

Rivera, R., Rosenbaum, J. E., & Quispe, W. (2020) · Epidemiology and Infection · doi:10.1017/s0950268820002617 · Cited by 83

Modelling Time Series Extremes

Chavez‐Demoulin, V., & Davison, A. C. (2022) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.57805/revstat.v10i1.113 · Cited by 85

Resource Wars and Conflict Ivory: The Impact of Civil Conflict on Elephants in the Democratic Republic of Congo - The Case of the Okapi Reserve

Beyers, R. L., Hart, J. A., SINCLAIR, A. R. E., Grossmann, F., Klinkenberg, B., & Dino, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027129 · Cited by 95

Intermediate Disturbance Hypothesis in Ecology: A Literature Review

Moi, D. A., García-Ríos, R., Hong, Z., Daquila, B. V., & Mormul, R. P. (2020) · Annales Zoologici Fennici · doi:10.5735/086.057.0108 · Cited by 85

Climate Change Drives Increases in Extreme Events for Lake Ice in the Northern Hemisphere

Filazzola, A., Blagrave, K., Imrit, M. A., & Sharma, S. (2020) · Geophysical Research Letters · doi:10.1029/2020gl089608 · Cited by 84

Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models

Mundo, A. I., Tipton, J., & Muldoon, T. J. (2022) · Statistics in Medicine · doi:10.1002/sim.9505 · Cited by 97

Frailty in individuals with depression, bipolar disorder and anxiety disorders: longitudinal analyses of all-cause mortality

Mutz, J., Choudhury, U., Zhao, J., & Dregan, A. (2022) · BMC Medicine · doi:10.1186/s12916-022-02474-2 · Cited by 88

Tempo and Mode of Diversification of Lake Tanganyika Cichlid Fishes

Day, J. J., Cotton, J. A., & Barraclough, T. G. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001730 · Cited by 87

A randomized experiment comparing random and cutoff-based assignment.

Shadish, W. R., Galindo, R. J., Wong, V. C., Steiner, P. M., & Cook, T. D. (2011) · Psychological Methods · doi:10.1037/a0023345 · Cited by 86

Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network

Bouma‐Gregson, K., Olm, M. R., Probst, A. J., Anantharaman, K., Power, M. E., & Banfield, J. F. (2019) · The ISME Journal · doi:10.1038/s41396-019-0374-3 · Cited by 88

Matching and Propensity Scores

Steiner, P. M., & Cook, D. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199934874.013.0013 · Cited by 96

Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence

Madani, N., Kimball, J. S., Jones, L. A., Parazoo, N. C., & Guan, K. (2017) · Remote Sensing · doi:10.3390/rs9060530 · Cited by 85

Predicting spatial patterns of soil bacteria under current and future environmental conditions

Mod, H. K., Buri, A., Yashiro, E., Guex, N., Malard, L. A., Pinto‐Figueroa, E., Pagni, M., Niculita‐Hirzel, H., van der Meer, J. R., & Guisan, A. (2021) · The ISME Journal · doi:10.1038/s41396-021-00947-5 · Cited by 85

Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia

Rijal, D. P., Heintzman, P. D., Lammers, Y., Yoccoz, N. G., Lorberau, K. E., Pitelkova, I., Goślar, T., Ancin‐Murguzur, F. J., Salonen, J. S., Helmens, K. F., et al. (2021) · Science Advances · doi:10.1126/sciadv.abf9557 · Cited by 88

Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies

Elhakeem, A., Hughes, R. A., Tilling, K. M., Cousminer, D. L., Jackowski, S. A., Cole, T. J., Kwong, A. S. F., Li, Z., Grant, S. F. A., Baxter-Jones, A. D. G., et al. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-022-01542-8 · Cited by 92

Cancer incidence and mortality trends in France over 1990–2018 for solid tumors: the sex gap is narrowing

Défossez, G., Uhry, Z., Delafosse, P., Dantony, E., d’Almeida, T. C., Plouvier, S., Bossard, N., Bouvier, A., Molinié, F., Woronoff, A., et al. (2021) · BMC Cancer · doi:10.1186/s12885-021-08261-1 · Cited by 85

Climate-driven deoxygenation of northern lakes

Jansen, J., Simpson, G. L., Weyhenmeyer, G. A., Härkönen, L. H., Paterson, A. M., del Giorgio, P. A., & Prairie, Y. T. (2024) · Nature Climate Change · doi:10.1038/s41558-024-02058-3 · Cited by 89

A molecular survey of Babesia spp. and Theileria spp. in red foxes (Vulpes vulpes) and their ticks from Thuringia, Germany

Najm, N., Meyer-Kayser, E., Hoffmann, L., et al. (2014) · Ticks and Tick-borne Diseases · doi:10.1016/j.ttbdis.2014.01.005 · Cited by 85

Immersion and haptic feedback impacts on dental anesthesia technical skills virtual reality training

de Oliveira, E. C., Kira, E., Sallaberry, L. H., Queiroz, A. C. M., Machado, M. A. D. A. M., Júnior, O. C., & Tori, R. (2020) · Journal of Dental Education · doi:10.1002/jdd.12503 · Cited by 84

Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity

Chauvier, Y., Descombes, P., Guéguen, M., Boulangeat, L., Thuiller, W., & Zimmermann, N. E. (2022) · Ecography · doi:10.1111/ecog.05973 · Cited by 91

A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling

Halvorsen, R. (2013) · Sommerfeltia · doi:10.2478/v10208-011-0016-2 · Cited by 84

The Lag Effects and Vulnerabilities of Temperature Effects on Cardiovascular Disease Mortality in a Subtropical Climate Zone in China

Huang, J., Wang, J., & Yu, W. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110403982 · Cited by 87

Nonparametric Methods for Modeling Nonlinearity in Regression Analysis

Andersen, R. (2009) · Annual Review of Sociology · doi:10.1146/annurev.soc.34.040507.134631 · Cited by 82

Evolutionary Forces Act on Promoter Length: Identification of Enriched Cis-Regulatory Elements

Kristiansson, E., Thorsen, M. K., Tamás, M. J., & Nerman, O. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp040 · Cited by 83

Spatial+: A novel approach to spatial confounding

Dupont, E., Wood, S. N., & Augustin, N. H. (2022) · Biometrics · doi:10.1111/biom.13656 · Cited by 83

A propensity-score matched study of changes in loneliness surrounding major life events.

Buecker, S., Denissen, J. J. A., & Luhmann, M. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000373 · Cited by 96

Developmental trajectories of EEG aperiodic and periodic components in children 2–44 months of age

Wilkinson, C. L., Yankowitz, L. D., Chao, J. Y., Gutiérrez, R., Rhoades, J. L., Shinnar, S., Purdon, P. L., & Nelson, C. A. (2024) · Nature Communications · doi:10.1038/s41467-024-50204-4 · Cited by 95

New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology

Taylan, P., Weber, G.-W., & Beck, A. (2007) · Optimization · doi:10.1080/02331930701618740 · Cited by 83

Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima

Joseph, M. B., Rossi, M. W., Mietkiewicz, N. P., Mahood, A. L., Cattau, M. E., Denis, L. A. S., Nagy, R. C., Iglesias, V., Abatzoglou, J. T., & Balch, J. K. (2019) · Ecological Applications · doi:10.1002/eap.1898 · Cited by 88

Responses of Marine Diatom-Dinoflagellate Competition to Multiple Environmental Drivers: Abundance, Elemental, and Biochemical Aspects

Bi, R., Cao, Z., Ismar, S. M. H., Sommer, U. J., Zhang, H., Ding, Y., & Zhao, M. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.731786 · Cited by 88

Nonlinear time course of brain volume loss in cognitively normal and impaired elders

Schuff, N. W., Tosun, D., Insel, P. S., Chiang, G. C.-Y., Truran, D., Aisen, P. S. S., Jack, C. R., & Weiner, M. W. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.012 · Cited by 80

Association of cold ambient temperature and cardiovascular markers

Hong, Y., Kim, H., Oh, S., et al. (2012) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2012.02.070 · Cited by 82

Transmission ecosystems ofEchinococcus multilocularisin China and Central Asia

Giraudoux, P., Raoul, F., Afonso, E., Ziadinov, I., Yang, Y. R., Li, L., Li, T., Quéré, J., Feng, X., WANG, Q., et al. (2013) · Parasitology · doi:10.1017/s0031182013000644 · Cited by 82

Patterns of thermal limits of phytoplankton

Bingzhang Chen, A. (2015) · Journal of Plankton Research · doi:10.1093/plankt/fbv009 · Cited by 88

Are the dead taking over Facebook? A Big Data approach to the future of death online

Öhman, C., & Watson, D. (2019) · Big Data & Society · doi:10.1177/2053951719842540 · Cited by 81

AI in actuarial science – a review of recent advances – part 2

Richman, R. (2020) · Annals of Actuarial Science · doi:10.1017/s174849952000024x · Cited by 80

Defining the impact of dietary macronutrient balance on PCOS traits

Paris, V. R., Solon‐Biet, S. M., Senior, A. M., Edwards, M. C., Desai, R., Tedla, N. T., Cox, M. J., Ledger, W. J., Gilchrist, R. B., Simpson, S. J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19003-5 · Cited by 86

Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany

Fritz, C., Dorigatti, E., & Rügamer, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-07757-5 · Cited by 97

Projecting the future incidence and burden of dengue in Southeast Asia

Colón‐González, F. J., Gibb, R., Khan, K., Watts, A., Lowe, R., & Brady, O. J. (2023) · Nature Communications · doi:10.1038/s41467-023-41017-y · Cited by 81

Modeling Particulate Matter Concentrations in Makkah, Applying a Statistical Modeling Approach

Munir, S., Habeebullah, T. M., Seroji, A. R., et al. (2013) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2012.11.0314 · Cited by 81

Combined climate- and prey-mediated range expansion of Humboldt squid (Dosidicus gigas), a large marine predator in the California Current System

Lowndes, J. S., Hazen, E. L., Bograd, S. J., Byrnes, J. E. K., Foley, D. G., Gilly, W. F., Robison, B. H., & Field, J. C. (2014) · Global Change Biology · doi:10.1111/gcb.12502 · Cited by 89

Wet climate and transportation routes accelerate spread of human plague

Xu, L., Stige, L. C., Kausrud, K., Ari, T. B., Wang, S., Fang, X.-Y., Schmid, B. V., Liu, Q., Stenseth, N. C., & Zhang, Z. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.3159 · Cited by 82

A developmental reduction of the excitation:inhibition ratio in association cortex during adolescence

Larsen, B., Cui, Z., Adebimpe, A., Pines, A., Alexander-Bloch, A., Bertolero, M., Calkins, M. E., Gur, R. E., Gur, R. C., Mahadevan, A. S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abj8750 · Cited by 80

Social support drives female dominance in the spotted hyaena

Vullioud, C., Davidian, E., Wachter, B., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0718-9 · Cited by 80

The performance of landslide susceptibility models critically depends on the quality of digital elevation models

Brock, J., Schratz, P., Petschko, H., Muenchow, J., Micu, M., & Brenning, A. (2020) · Geomatics Natural Hazards and Risk · doi:10.1080/19475705.2020.1776403 · Cited by 84

Flexible species distribution modelling methods perform well on spatially separated testing data

Valavi, R., Elith, J., Lahoz‐Monfort, J. J., & Guillera‐Arroita, G. (2023) · Global Ecology and Biogeography · doi:10.1111/geb.13639 · Cited by 79

Plastics in the deep sea – A global estimate of the ocean floor reservoir

Zhu, X., Rochman, C. M., Hardesty, B. D., & Wilcox, C. (2024) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2024.104266 · Cited by 91

Predicting top predator habitats in the Southwest Indian Ocean

Mannocci, L., Laran, S., Monestiez, P., Dorémus, G., Canneyt, O. V., Watremez, P., & Ridoux, V. (2013) · Ecography · doi:10.1111/j.1600-0587.2013.00317.x · Cited by 78

A regionally informed abundance index for supporting integrative analyses across butterfly monitoring schemes

Schmucki, R., Pe’er, G., Roy, D. B., Stefanescu, C., van Swaay, C., Oliver, T. H., Kuussaari, M., Strien, A. J. V., Ries, L., Settele, J., et al. (2015) · Journal of Applied Ecology · doi:10.1111/1365-2664.12561 · Cited by 81

Boom and bust of keystone structure on coral reefs

Wilson, S. K., Robinson, J. P. W., Chong‐Seng, K., et al. (2019) · Coral Reefs · doi:10.1007/s00338-019-01818-4 · Cited by 79

Spatiotemporal distribution patterns of immature Australasian white sharks (Carcharodon carcharias)

Spaet, J. L. Y., Patterson, T. A., Bradford, R. W., & Butcher, P. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-66876-z · Cited by 84

Increasing the broad-leaved tree fraction in European forests mitigates hot temperature extremes

Schwaab, J., Davin, É. L., Bebi, P., Duguay-Tetzlaff, A., Waser‬, L. T., Haeni, M., & Meier, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-71055-1 · Cited by 85

The stomatal response to vapor pressure deficit drives the apparent temperature response of photosynthesis in tropical forests

Slot, M., Rifai, S. W., Eze, C. E., & Winter, K. (2024) · New Phytologist · doi:10.1111/nph.19806 · Cited by 90

Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide

López‐Ayala, P., Riley, R. D., Collins, P. G. S., & Zimmermann, T. (2025) · BMJ · doi:10.1136/bmj-2024-082440 · Cited by 99

Sex Differences in Wild Chimpanzee Behavior Emerge during Infancy

Lonsdorf, E. V., Markham, A. C., Heintz, M. R., Anderson, K. E., Ciuk, D. J., Goodall, J. R., & Murray, C. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099099 · Cited by 79

Combining abundance and performance data reveals how temperature regulates coastal occurrences and activity of a roaming apex predator

Payne, N. L., Meyer, C. G., Smith, J. A., Houghton, J. D. R., Barnett, A., Holmes, B. J., Nakamura, I., Papastamatiou, Y. P., Royer, M. A., Coffey, D. M., et al. (2018) · Global Change Biology · doi:10.1111/gcb.14088 · Cited by 79

Sex Effects on Development of Brain Structure and Executive Functions: Greater Variance than Mean Effects

Wierenga, L. M., Bos, M. G. N., van Rossenberg, F., & Crone, E. A. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01375 · Cited by 83

What can cetacean stranding records tell us? A study of UK and Irish cetacean diversity over the past 100 years

Coombs, E. J., Deaville, R., Sabin, R., et al. (2019) · Marine Mammal Science · doi:10.1111/mms.12610 · Cited by 78

Phonetic effects of morphology and context: Modeling the duration of word-final S in English with naïve discriminative learning

Tomaschek, F., Plag, I., Ernestus, M., & Baayen, R. H. (2019) · Journal of Linguistics · doi:10.1017/s0022226719000203 · Cited by 75

From tree to stand-level structural complexity — Which properties make a forest stand complex?

Seidel, D., Ehbrecht, M., Annighöfer, P., et al. (2019) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2019.107699 · Cited by 78

Estimates of the ongoing need for social distancing and control measures post-“lockdown” from trajectories of COVID-19 cases and mortality

Lonergan, M. E., & Chalmers, J. D. (2020) · European Respiratory Journal · doi:10.1183/13993003.01483-2020 · Cited by 78

A meta-analysis reveals edge effects within marine protected areas

Ohayon, S., Granot, I., & Belmaker, J. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01502-3 · Cited by 78

Diurnal oscillations in gut bacterial load and composition eclipse seasonal and lifetime dynamics in wild meerkats

Risely, A., Wilhelm, K., Clutton-Brock, T. H., Manser, M. B., & Sommer, S. (2021) · Nature Communications · doi:10.1038/s41467-021-26298-5 · Cited by 79

A severe landslide event in the Alpine foreland under possible future climate and land-use changes

Maraun, D., Knevels, R., Mishra, A. N., Truhetz, H., Bevacqua, E., Proske, H., Zappa, G., Brenning, A., Petschko, H., Schaffer, A., et al. (2022) · Communications Earth & Environment · doi:10.1038/s43247-022-00408-7 · Cited by 72

Decoupling of surface water storage from precipitation in global drylands due to anthropogenic activity

Zhao, G., Gao, H., Li, Y., Tang, Q., Woolway, R. I., Merder, J., Rosa, L., & Michalak, A. M. (2025) · Nature Water · doi:10.1038/s44221-024-00367-7 · Cited by 93

Temperature dependence of Pacific sardine (Sardinops sagax) recruitment in the California Current Ecosystem revisited and revised

Lindegren, M., & Checkley, D. M. (2012) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2012-0211 · Cited by 78

Comparison of approaches for estimating reliability of individual regression predictions

Bosnić, Z., & Kononenko, I. (2008) · Data & Knowledge Engineering · doi:10.1016/j.datak.2008.08.001 · Cited by 78

Distribution and relative abundance of humpback whales in relation to environmental variables in coastal British Columbia and adjacent waters

Rosa, L. D., Ford, J. K. B., & Trites, A. W. (2012) · Continental Shelf Research · doi:10.1016/j.csr.2012.01.017 · Cited by 78

Predicting cetacean and seabird habitats across a productivity gradient in the South Pacific gyre

Mannocci, L., Catalogna, M., Dorémus, G., Laran, S., Lehodey, P., Massart, W., Monestiez, P., Canneyt, O. V., Watremez, P., & Ridoux, V. (2013) · Progress In Oceanography · doi:10.1016/j.pocean.2013.11.005 · Cited by 76

Increasing climate‐driven taxonomic homogenization but functional differentiation among river macroinvertebrate assemblages

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PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data

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Impacts of detritivore diversity loss on instream decomposition are greatest in the tropics

Boyero, L., López‐Rojo, N., Tonin, A. M., Pérez, J., Correa‐Araneda, F., Pearson, R. G., Bosch, J., Albariño, R., Anbalagan, S., Barmuta, L. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23930-2 · Cited by 76

SARS-CoV-2 genomes from Saudi Arabia implicate nucleocapsid mutations in host response and increased viral load

Mourier, T., Shuaib, M., Hala, S. M., Mfarrej, S., Alofi, F. S., Naeem, R., Alsomali, A., Jorgensen, D., Subudhi, A. K., Ben-Rached, F., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28287-8 · Cited by 75

Phosphonate production by marine microbes: exploring new sources and potential function

Acker, M., Hogle, S. L., Berube, P. M., Hackl, T., Coe, A., Stepanauskas, R., Chisholm, S. W., & Repeta, D. J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113386119 · Cited by 76

The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil

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Prim�rzerlegung in Steinschen Algebren

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�ber unirationale Scharen auf algebraischen Mannigfaltigkeiten

Reich, L. (1966) · Mathematische Annalen · doi:10.1007/bf01364537 · Cited by 4

Algebraic Set Operations, Multifunctions, and Indefinite Integrals

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On Almost α(Λ, sp)-continuous Multifunctions

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Produkttreue Klassen universeller Algebren

Timm, J. (1969) · Archiv der Mathematik · doi:10.1007/bf01899454 · Cited by 1