Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Finite-Size Scaling and Correlation Lengths for Disordered Systems
Countries citing papers authored by Jennifer Chayes
Since
Specialization
Citations
This map shows the geographic impact of Jennifer Chayes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer Chayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Chayes more than expected).
This network shows the impact of papers produced by Jennifer Chayes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer Chayes. The network helps show where Jennifer Chayes may publish in the future.
Co-authorship network of co-authors of Jennifer Chayes
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Chayes.
A scholar is included among the top collaborators of Jennifer Chayes based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jennifer Chayes. Jennifer Chayes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zheng, Zhiling, Omar Khattab, Nakul Rampal, et al.. (2024). Image and data mining in reticular chemistry powered by GPT-4V. Digital Discovery. 3(3). 491–501.36 indexed citations breakdown →
4.
Zheng, Zhiling, Ali H. Alawadhi, Saumil Chheda, et al.. (2023). Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models. Journal of the American Chemical Society. 145(51). 28284–28295.79 indexed citations breakdown →
5.
Zheng, Zhiling, Oufan Zhang, Christian Borgs, Jennifer Chayes, & Omar M. Yaghi. (2023). ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis. Journal of the American Chemical Society. 145(32). 18048–18062.290 indexed citations breakdown →
6.
Zheng, Zhiling, Zichao Rong, Nakul Rampal, et al.. (2023). A GPT‐4 Reticular Chemist for Guiding MOF Discovery**. Angewandte Chemie International Edition. 62(46). e202311983–e202311983.101 indexed citations breakdown →
7.
Chayes, Jennifer, et al.. (2020). The Road for Recovery: Aligning COVID-19 efforts and building a more resilient future.. eScholarship (California Digital Library). 43. 133–140.2 indexed citations
8.
Borgs, Christian, Jennifer Chayes, Christina Lee, & Devavrat Shah. (2017). Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation. Neural Information Processing Systems. 30. 4715–4726.9 indexed citations
9.
Borgs, Christian, Jennifer Chayes, Henry Cohn, & Nina Holden. (2017). Sparse exchangeable graphs and their limits via graphon processes. arXiv (Cornell University). 18(1). 7740–7810.19 indexed citations
10.
Borgs, Christian, Michael Brautbar, Jennifer Chayes, & Brendan Lucier. (2012). Influence Maximization in Social Networks: Towards an Optimal Algorithmic Solution. arXiv (Cornell University).15 indexed citations
11.
Balcan, Maria-Florina, Christian Borgs, Mark Braverman, Jennifer Chayes, & Shang‐Hua Teng. (2012). I Like Her more than You: Self-determined Communities. arXiv (Cornell University).6 indexed citations
12.
Borgs, Christian, Ozan Candogan, Jennifer Chayes, Ilan Lobel, & Hamid Nazerzadeh. (2011). Optimal Multi-period Pricing with Service Guarantees - Working Paper.. 415.3 indexed citations
13.
Borgs, Christian, Jennifer Chayes, Omid Etesami, et al.. (2007). Bid Optimization in Online Advertisement Auctions. 531–540.13 indexed citations
14.
Borgs, Christian, Jennifer Chayes, Stephan Mertens, & Chandra Nair. (2005). Proof of the local REM conjecture for number partitioning. arXiv (Cornell University).2 indexed citations
15.
Berger, Noam, Christian Borgs, Jennifer Chayes, & Amin Saberi. (2005). On the spread of viruses on the internet. Symposium on Discrete Algorithms. 301–310.113 indexed citations
16.
Bollobás, Béla, Christian Borgs, Jennifer Chayes, & Oliver Riordan. (2003). Directed scale-free graphs. Symposium on Discrete Algorithms. 132–139.176 indexed citations
17.
Borgs, Christian, Jennifer Chayes, Remco van der Hofstad, Gordon Slade, & J. Spencer. (2003). Random subgraphs of finite graphs. Part II: The lace expansion and the triangle condition. TU/e Research Portal (Eindhoven University of Technology). 2003009.3 indexed citations
18.
Borgs, Christian, Jennifer Chayes, Remco van der Hofstad, Gordon Slade, & J. Spencer. (2003). Random subgraphs of finite graphs. Part III: The phase transition for the n-cube. TU/e Research Portal (Eindhoven University of Technology). 2003010.5 indexed citations
Chayes, Jennifer & Lincoln Chayes. (1984). PERCOLATION AND RANDOM MEDIA: LECTURE NOTES FOR LES HOUCHES, SUMMER 1984. Presented at.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.