World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
84
Citations
28257
World Ranking
664
National Ranking
241

Roland Kays publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Roland Kays sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 290 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Roland Kays D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Roland Kays sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 84 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Roland Kays is affiliated with North Carolina State University in the United States and has a primary focus on Environmental Science. Their research encompasses several subfields including Ecology, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Small Animals, and Social Psychology. The scientist's work covers a wide array of topics, notably Wildlife Ecology and Conservation, Species Distribution and Climate Change, Animal Behavior and Welfare Studies, Animal Ecology and Behavior Studies, Human-Animal Interaction Studies, Environmental DNA in Biodiversity Studies, and Ecology and Vegetation Dynamics Studies.

Among recent publications by Roland Kays are:

  • "An empirical evaluation of camera trap study design: How many, how long and when?", 2020, Methods in Ecology and Evolution
  • "The Movebank system for studying global animal movement and demography", 2021, Methods in Ecology and Evolution

Other significant recent papers related to Kays's network and research domain include:

  • "COVID-19 lockdown allows researchers to quantify the effects of human activity on wildlife", 2020, Nature Ecology & Evolution
  • "Perspectives in machine learning for wildlife conservation", 2022, Nature Communications
  • "Disturbance type and species life history predict mammal responses to humans", 2021, Global Change Biology

Roland Kays frequently collaborates with several scientists, with notable repeated coauthors being Martin Wikelski, Arielle W. Parsons, Margaret C. Crofoot, Michael V. Cove, and Jerrold L. Belant.

The scientist's body of work has been published extensively in certain venues, which include bioRxiv (Cold Spring Harbor Laboratory), Methods in Ecology and Evolution, Ecosphere, Movebank, and Ecology. These venues reflect the areas of wildlife ecology, ecological methods, animal movement tracking, and broader ecological research.

Best Publications

  • Terrestrial animal tracking as an eye on life and planet

    Roland Kays;Roland Kays;Roland Kays;Margaret Chatham Crofoot;Margaret Chatham Crofoot;Margaret Chatham Crofoot;Walter Jetz;Walter Jetz;Martin Wikelski;Martin Wikelski;Martin Wikelski

  • Moving in the Anthropocene : global reductions in terrestrial mammalian movements

    Marlee A. Tucker;Katrin Böhning-Gaese;William F. Fagan;John M. Fryxell

  • Mammals of North America

    Unknown

  • Perspectives in machine learning for wildlife conservation

    Unknown

  • Technology on the Move: Recent and Forthcoming Innovations for Tracking Migratory Birds

    Eli S. Bridge;Kasper Thorup;Melissa S. Bowlin;Phillip B. Chilson

  • COVID-19 lockdown allows researchers to quantify the effects of human activity on wildlife.

    Christian Rutz;Christian Rutz;Matthias-Claudio Loretto;Matthias-Claudio Loretto;Amanda E. Bates;Sarah C. Davidson;Sarah C. Davidson

  • A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement.

    Bart Kranstauber;Roland Kays;Scott D. LaPoint;Martin Wikelski

  • Observing the unwatchable through acceleration logging of animal behavior

    Danielle D Brown;Roland Kays;Roland Kays;Roland Kays;Martin Wikelski;Martin Wikelski;Martin Wikelski;Rory Wilson

  • Quantifying levels of animal activity using camera trap data

    J. Marcus Rowcliffe;Roland Kays;Roland Kays;Bart Kranstauber;Bart Kranstauber;Chris Carbone

  • A comparison of noninvasive techniques to survey carnivore communities in northeastern North America

    Matthew E. Gompper;Roland W. Kays;Justina C. Ray;Scott D. Lapoint

  • Livestock predation by lions (Panthera leo) and other carnivores on ranches neighboring Tsavo National ParkS, Kenya

    Bruce D Patterson;Samuel M Kasiki;Edwin Selempo;Roland W Kays

  • Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors

    Robin Steenweg;Mark Hebblewhite;Roland Kays;Jorge Ahumada

  • Swarm: mining relaxed temporal moving object clusters

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • Going wild: what a global small-animal tracking system could do for experimental biologists

    Martin C. Wikelski;Roland W. Kays;N. Jeremy Kasdin;Kasper Thorup

  • Recommended guiding principles for reporting on camera trapping research

    P. D. Meek;G. Ballard;A. Claridge;A. Claridge;R. Kays;R. Kays

  • A genome-wide perspective on the evolutionary history of enigmatic wolf-like canids

    Bridgett M. vonHoldt;John P. Pollinger;Dent A. Earl;James C. Knowles

  • Does the resource dispersion hypothesis explain group living

    Dominic D.P. Johnson;Roland Kays;Paul G. Blackwell;David W. Macdonald

  • Emerging Technologies to Conserve Biodiversity.

    Stuart L. Pimm;Sky Alibhai;Richard Bergl;Alex Dehgan

  • The environmental-data automated track annotation ( Env - DATA ) system: linking animal tracks with environmental data

    Somayeh Dodge;Gil Bohrer;Rolf Weinzierl;Sarah C. Davidson

  • Mining periodic behaviors for moving objects

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • Moderating Argos location errors in animal tracking data

    David C. Douglas;Rolf Weinzierl;Sarah C. Davidson;Roland Kays;Roland Kays

  • Quantifying the sensitivity of camera traps: an adapted distance sampling approach

    J. Marcus Rowcliffe;Chris Carbone;Patrick A. Jansen;Patrick A. Jansen;Roland Kays

Frequent Co-Authors

Martin Wikelski
Martin Wikelski Max Planck Institute for Ornithology
Patrick A. Jansen
Patrick A. Jansen Wageningen University & Research
William J. McShea
William J. McShea Smithsonian Conservation Biology Institute
Justin M. Calabrese
Justin M. Calabrese University of Maryland, College Park
Joshua J. Millspaugh
Joshua J. Millspaugh University of Montana
Don E. Wilson
Don E. Wilson National Museum of Natural History
Zhihai He
Zhihai He University of Missouri
Chris Carbone
Chris Carbone Zoological Society of London
William F. Fagan
William F. Fagan University of Maryland, College Park
Gil Bohrer
Gil Bohrer The Ohio State University

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