World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
48
Citations
20527
World Ranking
1174
National Ranking
526

Mark S. Handcock publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Mark S. Handcock sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 138 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Mark S. Handcock D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Mark S. Handcock sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 48 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Mark S. Handcock is affiliated with the University of California, Los Angeles in the United States. Their research contributions span multiple fields including Earth and Planetary Sciences, Medicine, and Mathematics, with notable work in Atmospheric Science, Statistics and Probability, Global and Planetary Change, Infectious Diseases, and Statistical and Nonlinear Physics.

The scientist's research involves several main topics including:

  • Arctic and Antarctic ice dynamics
  • Climate variability and models
  • COVID-19 epidemiological studies
  • Cryospheric studies and observations
  • Climate change and permafrost
  • Complex Network Analysis Techniques
  • Statistical Methods and Bayesian Inference

Frequent coauthors of Mark S. Handcock include Marilyn Raphael, Ryan L. Fogt, Duncan A. Clark, Thomas Maierhofer, and Ian E. Fellows. This reflects collaborations across both environmental and statistical research areas.

The scientist has published papers in notable venues with repeat contributions to the Journal of the Royal Statistical Society Series A (Statistics in Society), The Cryosphere, The Annals of Applied Statistics, arXiv (Cornell University), and the Journal of Thoracic Oncology.

Recent papers by Mark S. Handcock include:

  • Modeling the annual cycle of daily Antarctic sea ice extent, 2020, The Cryosphere
  • Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability, 2021, The Cryosphere
  • A regime shift in seasonal total Antarctic sea ice extent in the twentieth century, 2022, Nature Climate Change
  • A new record minimum for Antarctic sea ice, 2022, Nature Reviews Earth & Environment
  • An Assessment of the Temporal Variability in the Annual Cycle of Daily Antarctic Sea Ice in the NCAR Community Earth System Model, Version 2: A Comparison of the Historical Runs With Observations, 2020, Journal of Geophysical Research Oceans

Mark S. Handcock was recognized as a Fellow of the American Statistical Association (ASA) in 2009.

Best Publications

  • Latent Space Approaches to Social Network Analysis

    Peter D Hoff;Adrian E Raftery;Mark S Handcock

  • NEW SPECIFICATIONS FOR EXPONENTIAL RANDOM GRAPH MODELS

    Tom A. B. Snijders;Philippa E. Pattison;Garry L. Robins;Mark S. Handcock

  • ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.

    David R. Hunter;Mark S. Handcock;Carter T. Butts;Steven M. Goodreau

  • Recent developments in exponential random graph (p*) models for social networks

    Garry Robins;Tom A. B. Snijders;Peng Wang;Mark Handcock

  • Model‐based clustering for social networks

    Mark S. Handcock;Adrian E. Raftery;Jeremy M. Tantrum

  • statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data.

    Mark S. Handcock;David R. Hunter;Carter T. Butts;Steven M. Goodreau

  • Goodness of Fit of Social Network Models

    David R Hunter;Steven M Goodreau;Mark S Handcock

  • A Bayesian analysis of kriging

    Mark S. Handcock;Michael L. Stein

  • COMMENT: ON THE CONCEPT OF SNOWBALL SAMPLING

    Mark S. Handcock;Krista J. Gile

  • RESPONDENT‐DRIVEN SAMPLING: AN ASSESSMENT OF CURRENT METHODOLOGY

    Krista J. Gile;Mark S. Handcock

  • Inference in Curved Exponential Family Models for Networks

    David R Hunter;Mark S Handcock

  • A separable model for dynamic networks

    Pavel N. Krivitsky;Mark S. Handcock

  • Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects.

    Martina Morris;Mark S. Handcock;David R. Hunter

  • A statnet Tutorial

    Steven M. Goodreau;Mark S. Handcock;David R. Hunter;Carter T. Butts

  • RELATING RESOURCES TO A PROBABILISTIC MEASURE OF SPACE USE: FOREST FRAGMENTS AND STELLER'S JAYS

    John M. Marzluff;Joshua J. Millspaugh;Philip Hurvitz;Mark S. Handcock

  • Relative Distribution Methods in the Social Sciences

    Mark Stephen Handcock;Martina Morris

  • An approach to statistical spatial-temporal modeling of meteorological fields - Comment

    Mark S. Handcock;James R. Wallis

  • MODELING SOCIAL NETWORKS FROM SAMPLED DATA.

    Mark S. Handcock;Krista J. Gile

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

    Pavel N. Krivitsky;Mark S. Handcock;Adrian E. Raftery;Peter D. Hoff

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

Frequent Co-Authors

Martina Morris
Martina Morris University of Washington
Carter T. Butts
Carter T. Butts University of California, Irvine
Kathleen Mullan Harris
Kathleen Mullan Harris University of North Carolina at Chapel Hill
Carol A. Ford
Carol A. Ford Children's Hospital of Philadelphia
Myron S. Cohen
Myron S. Cohen University of North Carolina at Chapel Hill
William C. Miller
William C. Miller The Ohio State University
Ira M. Longini
Ira M. Longini University of Florida
Jeffrey S. Simonoff
Jeffrey S. Simonoff New York University
M. Elizabeth Halloran
M. Elizabeth Halloran Fred Hutchinson Cancer Research Center
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles

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