World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7309
World Ranking
6545
National Ranking
1791

Mevin B. Hooten publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Mevin B. Hooten sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 132 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Mevin B. Hooten D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Mevin B. Hooten sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2017 - Fellow of the American Statistical Association (ASA)

Overview

Mevin B. Hooten is affiliated with The University of Texas at Austin in the United States. Their research primarily focuses on Environmental Science, with 112 publications in this field. Within Environmental Science, their work encompasses several subfields including Ecology, Nature and Landscape Conservation, Ecological Modeling, Genetics, and Statistics and Probability.

The main topics covered in Hooten's research span across Wildlife Ecology and Conservation, Species Distribution and Climate Change, Ecology and Vegetation Dynamics Studies, Fish Ecology and Management Studies, Avian Ecology and Behavior, Marine Animal Studies Overview, and Economic and Environmental Valuation.

Hooten has contributed to multiple publication venues, frequently publishing in arXiv (Cornell University), Biometrics, Journal of Agricultural Biological and Environmental Statistics, Movement Ecology, and Spatial Statistics. This variety reflects a blend of statistical and ecological research contexts.

Recent papers authored or coauthored by Hooten include:

  • What processes must we understand to forecast regional-scale population dynamics? (2020, Proceedings of the Royal Society B Biological Sciences)
  • Ecological forecasting-21st century science for 21st century management (2020, Antarctica A Keystone in a Changing World)
  • Statistical Implementations of Agent-Based Demographic Models (2020, International Statistical Review)
  • Statistical Challenges in Agent-Based Modeling (2021, The American Statistician)
  • Diffusion modeling reveals effects of multiple release sites and human activity on a recolonizing apex predator (2021, Movement Ecology)

Frequent collaborators in Hooten's research include Xinyi Lu, Yoichiro Kanno, Justin J. Van Ee, Michael R. Schwob, and Perry J. Williams, reflecting a network of coauthors involved in related research areas.

Hooten was recognized as a Fellow of the American Statistical Association (ASA) in 2017.

Best Publications

  • A guide to Bayesian model selection for ecologists

    Mevin Hooten;N.T. Hobbs

  • On the use of log‐transformation vs. nonlinear regression for analyzing biological power laws

    Xiao Xiao;Ethan P. White;Mevin B. Hooten;Susan L. Durham

  • A guide to Bayesian model checking for ecologists

    Paul B. Conn;Devin S. Johnson;Perry J. Williams;Sharon R. Melin

  • Spatial autoregressive models for statistical inference from ecological data

    Jay M. Ver Hoef;Erin E. Peterson;Mevin B. Hooten;Mevin B. Hooten;Ephraim M. Hanks

  • A general science-based framework for dynamical spatio-temporal models

    Christopher K. Wikle;Mevin B. Hooten

  • Clonal dynamics in western North American aspen (Populus tremuloides)

    Karen E. Mock;C. A. Rowe;Mevin B. Hooten;J. DeWoody

  • Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification

    Ephraim M. Hanks;Erin M. Schliep;Mevin B. Hooten;Mevin B. Hooten;Jennifer A. Hoeting

  • Spatial occupancy models for large data sets

    Devin S. Johnson;Paul B. Conn;Mevin B. Hooten;Justina C. Ray

  • A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove

    Mevin B. Hooten;Christopher K. Wikle

  • Model selection and assessment for multi-species occupancy models

    Kristin M. Broms;Mevin B. Hooten;Mevin B. Hooten;Ryan M. Fitzpatrick

  • The basis function approach for modeling autocorrelation in ecological data.

    Trevor J. Hefley;Kristin M. Broms;Brian M. Brost;Frances E. Buderman

  • Hierarchical spatiotemporal matrix models for characterizing invasions.

    Mevin B. Hooten;Christopher K. Wikle;Robert M. Dorazio;J. Andrew Royle

  • Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin

    James J. Roberts;Kurt D. Fausch;Douglas P. Peterson;Mevin B. Hooten;Mevin B. Hooten

  • Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model

    Mevin B. Hooten;David R. Larsen;Christopher K. Wikle

  • Continuous-time discrete-space models for animal movement

    Ephraim M. Hanks;Mevin B. Hooten;Mat W. Alldredge

  • When mechanism matters: Bayesian forecasting using models of ecological diffusion.

    Trevor J. Hefley;Mevin B. Hooten;Robin E. Russell;Daniel P. Walsh

  • Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

    Mevin B. Hooten;Christopher K. Wikle

  • Assessing North American Influenza Dynamics with a Statistical SIRS Model

    Mevin B. Hooten;Jessica Anderson;Lance A. Waller

  • Dynamic occupancy models for explicit colonization processes

    Kristin Mai Broms;Mevin B. Hooten;Mevin B. Hooten;Devin S. Johnson;Res Altwegg

  • Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models

    Mevin B. Hooten;William B. Leeds;Jerome Fiechter;Christopher K. Wikle

Frequent Co-Authors

Christopher K. Wikle
Christopher K. Wikle University of Missouri
N. Thompson Hobbs
N. Thompson Hobbs Colorado State University
Juan Manuel Morales
Juan Manuel Morales National University of Comahue
Peter B. Adler
Peter B. Adler Utah State University
Stephen T. Jackson
Stephen T. Jackson United States Geological Survey
Robert K. Booth
Robert K. Booth Lehigh University
Michael C. Dietze
Michael C. Dietze Boston University
Robin E. Russell
Robin E. Russell United States Geological Survey
John W. Durban
John W. Durban New England Aquarium
Henry W. Loescher
Henry W. Loescher National Ecological Observatory Network

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