David Kempe

18.4k total citations · 4 hit papers
87 papers, 9.5k citations indexed

About

David Kempe is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, David Kempe has authored 87 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 26 papers in Computer Networks and Communications and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in David Kempe's work include Game Theory and Applications (21 papers), Auction Theory and Applications (19 papers) and Complex Network Analysis Techniques (19 papers). David Kempe is often cited by papers focused on Game Theory and Applications (21 papers), Auction Theory and Applications (19 papers) and Complex Network Analysis Techniques (19 papers). David Kempe collaborates with scholars based in United States, Israel and Canada. David Kempe's co-authors include Jon Kleinberg, Éva Tardos, Johannes Gehrke, Alin Dobra, Frank McSherry, Abhimanyu Das, Amit Kumar, Gunjan Agarwal, Tanya Berger‐Wolf and Chayant Tantipathananandh and has published in prestigious journals such as Journal of the ACM, Marketing Science and IEEE Transactions on Robotics.

In The Last Decade

David Kempe

85 papers receiving 9.1k citations

Hit Papers

Maximizing the spread of influence through a social network 2003 2026 2010 2018 2003 2004 2003 2015 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Kempe United States 33 5.2k 3.5k 1.9k 1.4k 1.2k 87 9.5k
Laks V. S. Lakshmanan Canada 51 3.3k 0.6× 3.4k 1.0× 3.9k 2.0× 983 0.7× 3.3k 2.9× 209 9.1k
Bolesław K. Szymański United States 41 2.8k 0.5× 3.5k 1.0× 1.8k 0.9× 557 0.4× 921 0.8× 384 8.0k
Francesco Bonchi Italy 42 3.1k 0.6× 1.2k 0.3× 3.1k 1.6× 500 0.4× 1.8k 1.6× 188 6.8k
David Liben‐Nowell United States 15 3.9k 0.8× 3.0k 0.9× 2.5k 1.3× 289 0.2× 1.5k 1.3× 30 7.8k
Andrew Tomkins United States 47 5.9k 1.1× 3.9k 1.1× 4.4k 2.3× 840 0.6× 5.2k 4.5× 123 13.7k
Linyuan Lü China 33 7.0k 1.3× 1.3k 0.4× 3.7k 1.9× 411 0.3× 1.5k 1.3× 96 9.8k
Éva Tardos United States 55 4.9k 0.9× 6.5k 1.9× 2.6k 1.4× 5.5k 4.0× 1.8k 1.6× 155 18.5k
Aristides Gionis Finland 50 2.6k 0.5× 2.6k 0.7× 5.5k 2.8× 723 0.5× 3.5k 3.0× 200 11.7k
Natalie Glance United States 20 3.2k 0.6× 1.0k 0.3× 2.0k 1.0× 432 0.3× 1.6k 1.4× 42 6.2k
Asuman Ozdaglar United States 51 1.9k 0.4× 7.3k 2.1× 2.5k 1.3× 2.3k 1.7× 345 0.3× 220 15.8k

Countries citing papers authored by David Kempe

Since Specialization
Citations

This map shows the geographic impact of David Kempe'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 David Kempe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kempe more than expected).

Fields of papers citing papers by David Kempe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Kempe. 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 David Kempe. The network helps show where David Kempe may publish in the future.

Co-authorship network of co-authors of David Kempe

This figure shows the co-authorship network connecting the top 25 collaborators of David Kempe. A scholar is included among the top collaborators of David Kempe 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 David Kempe. David Kempe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kempe, David, et al.. (2024). Structural Stability of a Family of Spatial Group Formation Games. IEEE Transactions on Network Science and Engineering. 11(4). 3305–3316. 1 indexed citations
2.
Kempe, David, et al.. (2024). Proportional Representation in Metric Spaces and Low-Distortion Committee Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 9815–9823.
3.
Kempe, David, et al.. (2020). Interactive Learning of a Dynamic Structure. 277–296.
4.
Kempe, David, et al.. (2019). Generative Graph Models based on Laplacian Spectra?. 1691–1701. 2 indexed citations
5.
Das, Abhimanyu & David Kempe. (2018). Approximate submodularity and its applications: subset selection, sparse approximation and dictionary selection. Journal of Machine Learning Research. 19(1). 74–107. 33 indexed citations
6.
Frazier, Peter I., et al.. (2018). Incentivizing Exploration by Heterogeneous Users. Conference on Learning Theory. 798–818. 5 indexed citations
7.
Kempe, David, Jon Kleinberg, Sigal Oren, & Aleksandrs Slivkins. (2016). Selection and influence in cultural dynamics. Network Science. 4(1). 1–27. 2 indexed citations
8.
Kempe, David, Jon Kleinberg, & Éva Tardos. (2015). Theory of Computing. 11(1). 105–147. 294 indexed citations breakdown →
9.
Abraham, Ittai, Shiri Chechik, David Kempe, & Aleksandrs Slivkins. (2013). Low-distortion inference of latent similarities from a multiplex social network. Symposium on Discrete Algorithms. 1853–1883. 12 indexed citations
10.
An, Bo, David Kempe, Christopher Kiekintveld, et al.. (2012). Security Games with Limited Surveillance: An Initial Report. National Conference on Artificial Intelligence. 1 indexed citations
11.
Kempe, David, et al.. (2011). Robust Price of Anarchy for Atomic Games with Altruistic Players. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–21. 3 indexed citations
12.
Das, Abhimanyu & David Kempe. (2011). Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection. International Conference on Machine Learning. 1057–1064. 52 indexed citations
13.
Tsai, Jason, Zhengyu Yin, Jun-young Kwak, et al.. (2010). Urban security: game-theoretic resource allocation in networked physical domains. National Conference on Artificial Intelligence. 881–886. 32 indexed citations
14.
Tsai, Jason, Zhengyu Yin, Jun-young Kwak, et al.. (2010). How to protect a city: strategic security placement in graph-based domains. Adaptive Agents and Multi-Agents Systems. 1453–1454. 1 indexed citations
15.
Kapron, Bruce M., David Kempe, Valerie King, Jared Saia, & Vishal Sanwalani. (2008). Fast asynchronous byzantine agreement and leader election with full information. Symposium on Discrete Algorithms. 1038–1047. 10 indexed citations
16.
Chen, Po‐An & David Kempe. (2007). Altruism and selfishness in traffic routing. 471–472. 3 indexed citations
17.
Madani, Omid, W. Greiner, David Kempe, & Mohammad R. Salavatipour. (2007). Recall Systems: Effcient Learning and Use of Category Indices. International Conference on Artificial Intelligence and Statistics. 307–314. 10 indexed citations
18.
Kempe, David & Frank McSherry. (2007). A decentralized algorithm for spectral analysis. Journal of Computer and System Sciences. 74(1). 70–83. 110 indexed citations
19.
Guruswami, Venkatesan, Jason D. Hartline, Anna R. Karlin, et al.. (2005). On profit-maximizing envy-free pricing. Symposium on Discrete Algorithms. 1164–1173. 143 indexed citations
20.
Kempe, David, Jon Kleinberg, & Amit Kumar. (2002). Connectivity and Inference Problems for Temporal Networks. Journal of Computer and System Sciences. 64(4). 820–842. 164 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.

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