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.
Algorithmic Game Theory
20071.4k citationsÉva Tardos, Michael Kearns et al.profile →
How bad is selfish routing?
2002969 citationsTim Roughgarden, Éva TardosJournal of the ACMprofile →
Countries citing papers authored by Tim Roughgarden
Since
Specialization
Citations
This map shows the geographic impact of Tim Roughgarden'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 Tim Roughgarden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Roughgarden more than expected).
This network shows the impact of papers produced by Tim Roughgarden. 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 Tim Roughgarden. The network helps show where Tim Roughgarden may publish in the future.
Co-authorship network of co-authors of Tim Roughgarden
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Roughgarden.
A scholar is included among the top collaborators of Tim Roughgarden 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 Tim Roughgarden. Tim Roughgarden 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.
Dütting, Paul, et al.. (2019). The Complexity of Contracts. SIAM Journal on Computing. 50(1). 211–254.1 indexed citations
2.
Roughgarden, Tim, et al.. (2018). An Optimal Learning Algorithm for Online Unconstrained Submodular Maximization. Conference on Learning Theory. 1307–1325.4 indexed citations
Globerson, Amir, et al.. (2015). How Hard is Inference for Structured Prediction. International Conference on Machine Learning. 2181–2190.6 indexed citations
7.
Morgenstern, Jamie & Tim Roughgarden. (2015). On the Pseudo-Dimension of Nearly Optimal Auctions. Neural Information Processing Systems. 28. 136–144.35 indexed citations
8.
Boneh, Dan, Tim Roughgarden, & Joan Feigenbaum. (2013). Proceedings of the forty-fifth annual ACM symposium on Theory of computing.3 indexed citations
9.
Roughgarden, Tim & Michael Kearns. (2013). Marginals-to-Models Reducibility. Neural Information Processing Systems. 26. 1043–1051.1 indexed citations
10.
Rexford, Jennifer, Tim Roughgarden, Margo Seltzer, et al.. (2013). Computer/Information Science. University of Twente Research Information. 53(5). 16–25.5 indexed citations
Shoham, Yoav, Yan Chen, & Tim Roughgarden. (2011). Proceedings of the 12th ACM conference on Electronic commerce.13 indexed citations
13.
Roth, Aaron & Tim Roughgarden. (2009). The Median Mechanism: Interactive and Efficient Privacy with Multiple Queries. arXiv (Cornell University).10 indexed citations
Roughgarden, Tim. (2002). How unfair is optimal routing. Symposium on Discrete Algorithms. 203–204.42 indexed citations
19.
Kumar, Amit, Anupam Gupta, & Tim Roughgarden. (2002). A Constant-Factor Approximation Algorithm for the Multicommodity. 333.17 indexed citations
20.
Roughgarden, Tim & Éva Tardos. (2002). How bad is selfish routing?. Journal of the ACM. 49(2). 236–259.969 indexed citations breakdown →
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.