World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
66
Citations
15556
World Ranking
362
National Ranking
197

Computer Science

D-Index
63
Citations
14292
World Ranking
2780
National Ranking
1376

Jennifer Chayes 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 Jennifer Chayes 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: 201 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Jennifer Chayes 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 Jennifer Chayes 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: 66 D-Index — 90th percentile

90% 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

  • 2021 - Wald Memorial Lecturer
  • 2019 - Member of the National Academy of Sciences
  • 2015 - John von Neumann Lecturer
  • 2014 - Fellow of the American Academy of Arts and Sciences
  • 2013 - Fellow of the American Mathematical Society
  • 2010 - ACM Fellow For contributions to the foundations of dynamic random networks in theoretical computer science.
  • 2005 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1989 - Fellow of Alfred P. Sloan Foundation

Overview

Jennifer Chayes is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Mathematics with focused contributions to several subfields including Materials Chemistry, Statistics and Probability, Computational Theory and Mathematics, Inorganic Chemistry, and Artificial Intelligence.

The scientist's work features prominently in topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods, Metal-Organic Frameworks: Synthesis and Applications, Topic Modeling, Advanced Causal Inference Techniques, Limits and Structures in Graph Theory, and Graph Theory and Applications.

Jennifer Chayes has published extensively in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of the American Chemical Society
  • ACS Central Science
  • Digital Discovery
  • Proceedings of the National Academy of Sciences

The scientist collaborates closely with a number of frequent co-authors, including:

  • Christian Borgs
  • Omar M. Yaghi
  • Nakul Rampal
  • Zhiling Zheng
  • Zichao Rong

Recent scholarly publications illustrate the scope of Jennifer Chayes's research interests and interdisciplinary reach. Selected recent papers include:

  • Tackling Climate Change with Machine Learning, 2022, OPUS 4 (Zuse Institute Berlin)
  • ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis, 2023, Journal of the American Chemical Society
  • Tackling Climate Change with Machine Learning, 2022, ACM Computing Surveys
  • A GPT-4 Reticular Chemist for Guiding MOF Discovery, 2023, Angewandte Chemie International Edition
  • ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs, 2023, ACS Central Science

Jennifer Chayes has been recognized with multiple awards and honors across their career, reflecting engagement with both specific scientific communities and broader interdisciplinary forums. Among these distinctions are:

  • Wald Memorial Lecturer (2021)
  • Member of the National Academy of Sciences (2019)
  • John von Neumann Lecturer (2015)
  • Fellow of the American Academy of Arts and Sciences (2014)
  • Fellow of the American Mathematical Society (2013)
  • ACM Fellow (2010) for contributions to the foundations of dynamic random networks in theoretical computer science
  • Fellow of the American Association for the Advancement of Science (AAAS) (2005)
  • Fellow of Alfred P. Sloan Foundation (1989)

Best Publications

  • Maximizing social influence in nearly optimal time

    Christian Borgs;Michael Brautbar;Jennifer Chayes;Brendan Lucier

  • Finite-Size Scaling and Correlation Lengths for Disordered Systems

    J. T. Chayes;L. Chayes;Daniel S. Fisher;T. Spencer

  • Convergent sequences of dense graphs I: Subgraph frequencies, metric properties and testing

    C. Borgs;Jennifer T. Chayes;László Lovász;Vera T. Sós

  • Entropy-SGD: biasing gradient descent into wide valleys*

    Pratik Chaudhari;Pratik Chaudhari;Anna Choromanska;Stefano Soatto;Yann LeCun;Yann LeCun

  • Directed scale-free graphs

    Béla Bollobás;Christian Borgs;Jennifer Chayes;Oliver Riordan

  • Discontinuity of the magnetization in one-dimensional 1/¦x−y¦2 Ising and Potts models

    M. Aizenman;J. T. Chayes;L. Chayes;C. M. Newman

  • Convergent Sequences of Dense Graphs II. Multiway Cuts and Statistical Physics

    Christian Borgs;Jennifer T. Chayes;László Lovász;Vera T. Sós

  • Trust-based recommendation systems: an axiomatic approach

    Reid Andersen;Christian Borgs;Jennifer Chayes;Uriel Feige

  • Dynamics of bid optimization in online advertisement auctions

    Christian Borgs;Jennifer Chayes;Nicole Immorlica;Kamal Jain

  • Tackling Climate Change with Machine Learning

    David Rolnick;Priya L. Donti;Lynn H. Kaack;Kelly Kochanski

  • Multi-unit auctions with budget-constrained bidders

    Christian Borgs;Jennifer Chayes;Nicole Immorlica;Mohammad Mahdian

  • On the spread of viruses on the internet

    Noam Berger;Christian Borgs;Jennifer T. Chayes;Amin Saberi

  • The scaling window of the 2-SAT transition

    Béla Bollobás;Béla Bollobás;Christian Borgs;Jennifer T. Chayes;Jeong Han Kim

  • Counting Graph Homomorphisms

    Christian Borgs;Jennifer Chayes;László Lovász;Vera T. Sós

  • Graph limits and parameter testing

    Christian Borgs;Jennifer Chayes;László Lovász;Vera T. Sós

  • An $L^p$ theory of sparse graph convergence I: limits, sparse random graph models, and power law distributions

    Christian Borgs;Jennifer T. Chayes;Henry Cohn;Yufei Zhao

  • On a sharp transition from area law to perimeter law in a system of random surfaces

    Michael Aizenman;J. T. Chayes;L. Chayes;J. Fröhlich

  • Density functional approach to quantum lattice systems

    J. T. Chayes;L. Chayes;Mary Beth Ruskai

  • Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes

    Carlo Baldassi;Christian Borgs;Jennifer T. Chayes;Alessandro Ingrosso

  • Local Computation of PageRank Contributions

    Reid Andersen;Christian Borgs;Jennifer T. Chayes;John E. Hopcroft

  • Local computation of PageRank contributions

    Reid Andersen;Christian Borgs;Jennifer Chayes;John Hopcraft

Frequent Co-Authors

Christian Borgs
Christian Borgs University of California, Berkeley
Shang-Hua Teng
Shang-Hua Teng University of Southern California
Adam Tauman Kalai
Adam Tauman Kalai Microsoft (United States)
Kamal Jain
Kamal Jain Microsoft (United States)
Mohammad Mahdian
Mohammad Mahdian Google (United States)
Nicole Immorlica
Nicole Immorlica Microsoft (United States)
Joel Spencer
Joel Spencer Courant Institute of Mathematical Sciences
László Lovász
László Lovász Eötvös Loránd University
Gordon Slade
Gordon Slade University of British Columbia
Vahab Mirrokni
Vahab Mirrokni Google (United States)

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