2026 Jennifer Chayes: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	63	2780	2697	1375	1324	190	14292
Mathematics	66	362	299	196	149	201	15556

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

965
Citations
Finite-Size Scaling and Correlation Lengths for Disordered Systems

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

835
Citations
Convergent sequences of dense graphs I: Subgraph frequencies, metric properties and testing

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

718
Citations
Entropy-SGD: biasing gradient descent into wide valleys*

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

583
Citations
Directed scale-free graphs

Béla Bollobás;Christian Borgs;Jennifer Chayes;Oliver Riordan

473
Citations
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

448
Citations
Convergent Sequences of Dense Graphs II. Multiway Cuts and Statistical Physics

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

363
Citations
Trust-based recommendation systems: an axiomatic approach

Reid Andersen;Christian Borgs;Jennifer Chayes;Uriel Feige

291
Citations
Dynamics of bid optimization in online advertisement auctions

Christian Borgs;Jennifer Chayes;Nicole Immorlica;Kamal Jain

289
Citations
Tackling Climate Change with Machine Learning

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

288
Citations
Multi-unit auctions with budget-constrained bidders

Christian Borgs;Jennifer Chayes;Nicole Immorlica;Mohammad Mahdian

264
Citations
On the spread of viruses on the internet

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

262
Citations
The scaling window of the 2-SAT transition

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

255
Citations
Counting Graph Homomorphisms

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

235
Citations
Graph limits and parameter testing

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

231
Citations
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

200
Citations
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

195
Citations
Density functional approach to quantum lattice systems

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

184
Citations
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

180
Citations
Local Computation of PageRank Contributions

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

168
Citations
Local computation of PageRank contributions

Reid Andersen;Christian Borgs;Jennifer Chayes;John Hopcraft

124
Citations

Frequent Co-Authors

Christian Borgs University of California, Berkeley

Shang-Hua Teng University of Southern California

Adam Tauman Kalai Microsoft (United States)

Kamal Jain Microsoft (United States)

Mohammad Mahdian Google (United States)

Nicole Immorlica Microsoft (United States)

Joel Spencer Courant Institute of Mathematical Sciences

László Lovász Eötvös Loránd University

Gordon Slade University of British Columbia

Vahab Mirrokni Google (United States)

External Links

Wikipedia of Jennifer Chayes Personal website of Jennifer Chayes Google Scholar page

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