2026 Mark S. Handcock: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	48	1174	1004	525	415	138	20527

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

2424
Citations
NEW SPECIFICATIONS FOR EXPONENTIAL RANDOM GRAPH MODELS

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

1827
Citations
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

1294
Citations
Recent developments in exponential random graph (p*) models for social networks

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

1056
Citations
Model‐based clustering for social networks

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

1025
Citations
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

876
Citations
Goodness of Fit of Social Network Models

David R Hunter;Steven M Goodreau;Mark S Handcock

857
Citations
A Bayesian analysis of kriging

Mark S. Handcock;Michael L. Stein

794
Citations
COMMENT: ON THE CONCEPT OF SNOWBALL SAMPLING

Mark S. Handcock;Krista J. Gile

785
Citations
RESPONDENT‐DRIVEN SAMPLING: AN ASSESSMENT OF CURRENT METHODOLOGY

Krista J. Gile;Mark S. Handcock

744
Citations
Inference in Curved Exponential Family Models for Networks

David R Hunter;Mark S Handcock

674
Citations
A separable model for dynamic networks

Pavel N. Krivitsky;Mark S. Handcock

550
Citations
Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects.

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

498
Citations
A statnet Tutorial

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

498
Citations
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

461
Citations
Relative Distribution Methods in the Social Sciences

Mark Stephen Handcock;Martina Morris

459
Citations
An approach to statistical spatial-temporal modeling of meteorological fields - Comment

Mark S. Handcock;James R. Wallis

433
Citations
MODELING SOCIAL NETWORKS FROM SAMPLED DATA.

Mark S. Handcock;Krista J. Gile

418
Citations
Model-based geostatistics. Discussion. Authors' reply

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

413
Citations
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

340
Citations
Discussion on the paper by Handcock, Raftery and Tantrum

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

5
Citations

Frequent Co-Authors

Martina Morris University of Washington

Carter T. Butts University of California, Irvine

Kathleen Mullan Harris University of North Carolina at Chapel Hill

Carol A. Ford Children's Hospital of Philadelphia

Myron S. Cohen University of North Carolina at Chapel Hill

William C. Miller The Ohio State University

Ira M. Longini University of Florida

Jeffrey S. Simonoff New York University

M. Elizabeth Halloran Fred Hutchinson Cancer Research Center

Sudipto Banerjee University of California, Los Angeles

External Links

Personal website of Mark S. Handcock Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students interested in Mathematics, exploring related online degrees can open doors to diverse career pathways. Many professionals leverage advanced degrees in business and finance to complement their mathematical skills. For instance, pursuing the easiest MBA program to get into allows individuals to gain leadership and management expertise without excessive barriers to entry.

Additionally, the easiest online MBA options provide flexible learning environments ideal for those balancing work and study. This flexibility can be especially beneficial when complementing a strong quantitative background.

For those seeking specialized knowledge in business administration, the best 1 year DBA program online offers an accelerated path to doctor-level credentials with a focus on research and leadership. This can significantly enhance career prospects in academia or high-level consultancy roles.

Finance is another area where mathematics graduates can thrive. Enrolling in the best online masters in finance provides essential skills for roles in investment banking, financial analysis, and risk management. These paths illustrate how complementary online degrees can broaden opportunities in a competitive job market.