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.
Authoritative sources in a hyperlinked environment
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).
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 of co-authors of Jon Kleinberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Kleinberg.
A scholar is included among the top collaborators of Jon Kleinberg 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 Jon Kleinberg. Jon Kleinberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barocas, Solon, et al.. (2024). On the Actionability of Outcome Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22240–22249.1 indexed citations
Hofman, Jake M., Duncan J. Watts, Susan Athey, et al.. (2021). Integrating explanation and prediction in computational social science. Nature. 595(7866). 181–188.191 indexed citations breakdown →
6.
Raghu, Maithra, Chiyuan Zhang, Jon Kleinberg, & Samy Bengio. (2019). Transfusion: Understanding Transfer Learning for Medical Imaging. Neural Information Processing Systems. 32. 3342–3352.46 indexed citations
7.
Abebe, Rediet, Jon Kleinberg, & David C. Parkes. (2017). Fair Division via Social Comparison. arXiv (Cornell University). 281–289.24 indexed citations
8.
Luca, Michael, Jon Kleinberg, & Sendhil Mullainathan. (2016). Algorithms Need Managers, Too. Harvard business review. 94(1). 20.36 indexed citations
9.
Kempe, David, Jon Kleinberg, & Éva Tardos. (2015). Theory of Computing. 11(1). 105–147.294 indexed citations breakdown →
10.
Kleinberg, Jon. (2013). Computational perspectives on social phenomena at global scales. International Joint Conference on Artificial Intelligence. 2–4.1 indexed citations
11.
Chierichetti, Flavio, David Liben‐Nowell, & Jon Kleinberg. (2011). Reconstructing Patterns of Information Diffusion from Incomplete Observations. IRIS Research product catalog (Sapienza University of Rome). 24. 792–800.11 indexed citations
12.
Frieze, Alan, et al.. (2007). Line-of-sight networks. Symposium on Discrete Algorithms. 968–977.2 indexed citations
13.
Leskovec, Jure, Jon Kleinberg, & Christos Faloutsos. (2006). Graphs Over Time: Densification and Shrinking Diameters. arXiv (Cornell University).3 indexed citations
Felzenszwalb, Pedro F., Daniel P. Huttenlocher, & Jon Kleinberg. (2003). Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis. neural information processing systems. 16. 409–416.40 indexed citations
18.
Kleinberg, Jon. (2002). An Impossibility Theorem for Clustering. Neural Information Processing Systems. 15. 463–470.312 indexed citations
19.
Gupta, Anupam, et al.. (2001). Provisioning a virtual private network.3 indexed citations
20.
Chew, L. Paul, et al.. (1993). Geometric Pattern Matching Under Euclidean Motion.. Canadian Conference on Computational Geometry. 151–156.22 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.