Jon Kleinberg
- Statistical and Nonlinear Physics top 0.01%
- Complex Network Analysis Techniques 94
- Opinion Dynamics and Social Influence 72
- Information Systems top 0.01%
- Artificial Intelligence top 0.01%
- Computer Networks and Communications top 0.05%
- Optimization and Search Problems 37
- Peer-to-Peer Network Technologies 20
- Communication top 0.05%
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- Game Theory and Applications 39
- Auction Theory and Applications 19
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- Complexity and Algorithms in Graphs 29
- Advanced Graph Theory Research 19
- Co-authors
- Éva TardosJure LeskovecDavid KempeDavid Liben‐NowellLars BäckströmDaniel P. HuttenlocherChristos FaloutsosDavid Easley
- Journals
- SIAM Journal on Computing (9 papers)Journal of the ACM (8 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Jon Kleinberg
296 papers receiving 43.1k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Statistical and Nonlinear Physics 21.0k
- Information Systems 10.4k
- Artificial Intelligence 14.3k
- Computer Networks and Communications 9.7k
- Communication 2.7k
Countries citing papers authored by Jon Kleinberg
This map shows the geographic impact of Jon Kleinberg'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 Jon Kleinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Kleinberg more than expected).
Fields of papers citing papers by Jon Kleinberg
This network shows the impact of papers produced by Jon Kleinberg. 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 Jon Kleinberg. The network helps show where Jon Kleinberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jon Kleinberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | Integrating explanation and prediction in computational social sciencebreakdown → | 2021 | 191 |
| 9 | Localized Flow-Based Clustering in Hypergraphs | 2020 | 1 |
| 10 | Direct Uncertainty Prediction with Applications to Healthcare. | 2018 | 3 |
| 11 | 2017 | 24 | |
| 12 | Algorithms Need Managers, Too | 2016 | 36 |
| 13 | Computational perspectives on social phenomena at global scales | 2013 | 1 |
| 14 | How Opinions are Received by Online Communities: A Case Study on Amazon.Com Helpfulness Votes | 2009 | 2 |
| 15 | 2007 | 2 | |
| 16 | Graphs Over Time: Densification and Shrinking Diameters | 2006 | 3 |
| 17 | 2004 | 32 | |
| 18 | Authoritative sources in a hyperlinked environmentbreakdown → | 1998 | 1144 |
| 19 | Geometric Pattern Matching Under Euclidean Motion. | 1993 | 22 |
| 20 | Sub-groups of the periodic table and general topics | 1956 | 1 |
About Jon Kleinberg
Jon Kleinberg is a scholar working on Statistical and Nonlinear Physics, General Decision Sciences and Management Science and Operations Research, having authored 304 papers that have together received 46.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (94 papers), Opinion Dynamics and Social Influence (72 papers), Game Theory and Applications (39 papers), Optimization and Search Problems (37 papers), Complexity and Algorithms in Graphs (29 papers), Peer-to-Peer Network Technologies (20 papers), Auction Theory and Applications (19 papers) and Advanced Graph Theory Research (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (21.0k citations), Information Systems (10.4k citations) and Artificial Intelligence (14.3k citations). Jon Kleinberg has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Éva Tardos, Jure Leskovec, David Kempe, David Liben‐Nowell, Lars Bäckström, Daniel P. Huttenlocher, Christos Faloutsos, David Easley, Prabhakar Raghavan and Sendhil Mullainathan. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Proceedings of the National Academy of Sciences, Journal of Computer and System Sciences and Nature.
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.