World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
41
Citations
9217
World Ranking
5721
National Ranking
1955

Justin M. Calabrese 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 Justin M. Calabrese 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: 131 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Justin M. Calabrese 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 Justin M. Calabrese 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: 41 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Best Publications

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

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

  • A comparison-shopper's guide to connectivity metrics

    Justin M. Calabrese;William F. Fagan

  • ctmm: an r package for analyzing animal relocation data as a continuous-time stochastic process

    Justin M. Calabrese;Justin M. Calabrese;Chris H. Fleming;Chris H. Fleming;Eliezer Gurarie

  • Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator

    Chris H. Fleming;Chris H. Fleming;W. F. Fagan;Thomas Mueller;Kirk A. Olson

  • Statistical inference for stochastic simulation models – theory and application

    Florian Hartig;Justin M. Calabrese;Justin M. Calabrese;Björn Reineking;Thorsten Wiegand

  • Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

    Carsten F. Dormann;Justin M. Calabrese;Gurutzeta Guillera-Arroita;Eleni Matechou

  • Stacking species distribution models and adjusting bias by linking them to macroecological models

    Justin M. Calabrese;Grégoire Certain;Casper Kraan;Carsten F. Dormann

  • From fine-scale foraging to home ranges: a semivariance approach to identifying movement modes across spatiotemporal scales.

    Chris H. Fleming;Justin M. Calabrese;Thomas Mueller;Kirk A. Olson

  • A new kernel density estimator for accurate home-range and species-range area estimation

    Unknown

  • How landscape dynamics link individual- to population-level movement patterns: A multispecies comparison of ungulate relocation data

    Thomas Mueller;Thomas Mueller;Kirk A. Olson;Gunnar Dressler;Peter Leimgruber

  • A comprehensive analysis of autocorrelation and bias in home range estimation

    Michael J. Noonan;Michael J. Noonan;Marlee A. Tucker;Christen H. Fleming;Christen H. Fleming;Thomas S. Akre

  • Autocorrelation‐informed home range estimation: A review and practical guide

    Unknown

  • Lost in time, lonely, and single: reproductive asynchrony and the Allee effect.

    Justin M. Calabrese;William F. Fagan

  • Space Use and Movement of a Neotropical Top Predator: The Endangered Jaguar

    Ronaldo G Morato;Jared A Stabach;Chris H Fleming;Justin M Calabrese

  • Connectivity Conservation: Quantifying connectivity: balancing metric performance with data requirements

    William F. Fagan;Justin M. Calabrese

  • Statistical inference for home range overlap

    Kevin Winner;Michael J. Noonan;Michael J. Noonan;Christen H. Fleming;Christen H. Fleming;Kirk A. Olson

  • How far to go? Determinants of migration distance in land mammals

    Claire S. Teitelbaum;Claire S. Teitelbaum;William F. Fagan;Chris H. Fleming;Gunnar Dressler

  • Scale-insensitive estimation of speed and distance traveled from animal tracking data

    Michael J. Noonan;Michael J. Noonan;Christen H. Fleming;Christen H. Fleming;Thomas S. Akre;Jonathan Drescher-Lehman;Jonathan Drescher-Lehman

  • Estimating where and how animals travel: an optimal framework for path reconstruction from autocorrelated tracking data

    Chris H. Fleming;Chris H. Fleming;William F. Fagan;Thomas Mueller;Kirk A. Olson

  • Non-Markovian maximum likelihood estimation of autocorrelated movement processes

    Christen H. Fleming;Christen H. Fleming;Justin M. Calabrese;Thomas Mueller;Thomas Mueller;Kirk A. Olson

Frequent Co-Authors

William F. Fagan
William F. Fagan University of Maryland, College Park
Thomas Mueller
Thomas Mueller Goethe University Frankfurt
Peter Leimgruber
Peter Leimgruber Smithsonian Conservation Biology Institute
Roland Kays
Roland Kays North Carolina State University
Petra Kaczensky
Petra Kaczensky Inland Norway University of Applied Sciences
Kamran Safi
Kamran Safi Max Planck Institute for Ornithology
Eliezer Gurarie
Eliezer Gurarie SUNY College of Environmental Science and Forestry
Orr Spiegel
Orr Spiegel Tel Aviv University
Björn Reineking
Björn Reineking Grenoble Alpes University
Sergio A. Lambertucci
Sergio A. Lambertucci National University of Comahue

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