Shuchi Chawla

6.1k total citations · 1 hit paper
72 papers, 2.6k citations indexed

About

Shuchi Chawla is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Marketing. According to data from OpenAlex, Shuchi Chawla has authored 72 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management Science and Operations Research, 34 papers in Computer Networks and Communications and 23 papers in Marketing. Recurrent topics in Shuchi Chawla's work include Auction Theory and Applications (37 papers), Optimization and Search Problems (23 papers) and Consumer Market Behavior and Pricing (23 papers). Shuchi Chawla is often cited by papers focused on Auction Theory and Applications (37 papers), Optimization and Search Problems (23 papers) and Consumer Market Behavior and Pricing (23 papers). Shuchi Chawla collaborates with scholars based in United States, United Kingdom and Israel. Shuchi Chawla's co-authors include Avrim Blum, Nikhil Bansal, Jason D. Hartline, Balasubramanian Sivan, David L. Malec, Adam Meyerson, Robert Kleinberg, David R. Karger, Terran Lane and D. Sivakumar and has published in prestigious journals such as PLoS ONE, Operations Research and Machine Learning.

In The Last Decade

Shuchi Chawla

65 papers receiving 2.4k citations

Hit Papers

Correlation Clustering 2004 2026 2011 2018 2004 100 200 300 400 500
What are hit papers?

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.

  1. Correlation Clustering
    2004 536 citations Nikhil Bansal, Avrim Blum et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuchi Chawla United States 25 981 740 654 535 430 72 2.6k
Bruno Codenotti Italy 16 906 0.9× 526 0.7× 780 1.2× 159 0.3× 350 0.8× 71 2.4k
Stefano Leonardi Italy 26 477 0.5× 759 1.0× 875 1.3× 131 0.2× 271 0.6× 116 2.5k
Nicole Immorlica United States 24 1.1k 1.2× 866 1.2× 989 1.5× 389 0.7× 213 0.5× 99 3.9k
Robert Kleinberg United States 39 2.4k 2.4× 1.1k 1.5× 2.2k 3.4× 608 1.1× 449 1.0× 144 4.8k
Berthold Vöcking Germany 26 1.4k 1.5× 532 0.7× 1.4k 2.1× 226 0.4× 288 0.7× 91 3.1k
Yevgeniy Dodis United States 22 953 1.0× 1.5k 2.1× 977 1.5× 148 0.3× 449 1.0× 70 3.8k
Gerald Tesauro United States 31 659 0.7× 2.1k 2.8× 761 1.2× 162 0.3× 262 0.6× 71 3.5k
Xiaotie Deng China 35 1.9k 1.9× 1.7k 2.3× 1.4k 2.2× 278 0.5× 746 1.7× 233 5.4k
Kamesh Munagala United States 27 499 0.5× 531 0.7× 1.7k 2.6× 111 0.2× 372 0.9× 98 2.6k
Rakesh Vohra United States 28 2.2k 2.2× 433 0.6× 943 1.4× 736 1.4× 360 0.8× 130 3.9k

Countries citing papers authored by Shuchi Chawla

Since Specialization
Citations

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

Fields of papers citing papers by Shuchi Chawla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchi Chawla

This figure shows the co-authorship network connecting the top 25 collaborators of Shuchi Chawla. A scholar is included among the top collaborators of Shuchi Chawla 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 Shuchi Chawla. Shuchi Chawla 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.
Chawla, Shuchi, et al.. (2023). Cite-seeing and reviewing: A study on citation bias in peer review. PLoS ONE. 18(7). e0283980–e0283980. 6 indexed citations
2.
Chawla, Shuchi, Nikhil R. Devanur, & Thodoris Lykouris. (2023). Static Pricing for Multi-unit Prophet Inequalities. Operations Research. 72(4). 1388–1399. 6 indexed citations
3.
Chawla, Shuchi, Nikhil R. Devanur, Anna R. Karlin, & Balasubramanian Sivan. (2022). Simple pricing schemes for consumers with evolving values. Games and Economic Behavior. 134. 344–360.
4.
Mahajan, Kshiteej, et al.. (2019). Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. arXiv (Cornell University). 3 indexed citations
5.
Chawla, Shuchi, et al.. (2019). Pricing for online resource allocation: intervals and paths. arXiv (Cornell University). 1962–1981. 7 indexed citations
6.
Mahajan, Kshiteej, Mosharaf Chowdhury, Aditya Akella, & Shuchi Chawla. (2018). Dynamic query re-planning using QOOP. Operating Systems Design and Implementation. 253–267. 9 indexed citations
7.
Blum, Avrim & Shuchi Chawla. (2018). Learning from Labeled and Unlabeled Data using Graph Mincuts. Figshare. 19–26. 145 indexed citations
8.
Chawla, Shuchi, David Kitchin, Uday Rajan, R. Ravi, & Amitabh Sinha. (2018). Profit Maximizing Mechanisms for the Extended Multicasting Game. Figshare.
9.
Chawla, Shuchi, et al.. (2016). Simple pricing schemes for consumers with evolving values. Symposium on Discrete Algorithms. 1476–1490. 6 indexed citations
10.
Barman, Siddharth & Shuchi Chawla. (2012). Traffic-redundancy aware network design. Symposium on Discrete Algorithms. 1487–1498.
11.
Muthukrishnan, C. R., et al.. (2012). Better Internet routing through intrinsic support for selfishness. 19. 1–10. 1 indexed citations
12.
Chawla, Shuchi, Jason D. Hartline, & Balasubramanian Sivan. (2012). Optimal Crowdsourcing Contests. 856–868. 43 indexed citations
13.
Chawla, Shuchi, Nicole Immorlica, & Brendan Lucier. (2011). On the Impossibility of Black-Box Transformations in Mechanism Design. 1 indexed citations
14.
Briest, Patrick, Shuchi Chawla, Robert Kleinberg, & S. Matthew Weinberg. (2010). Pricing randomized allocations. Symposium on Discrete Algorithms. 585–597. 38 indexed citations
15.
Muthukrishnan, C. R., et al.. (2009). RouteBazaar: An Economic Framework for Flexible Routing. Minds at UW (University of Wisconsin). 5 indexed citations
16.
Blum, Avrim, et al.. (2007). Approximation Algorithms for Orienteering and Discounted-Reward TSP. SIAM Journal on Computing. 37(2). 653–670. 111 indexed citations
17.
Chawla, Shuchi, Anupam Gupta, & Harald Räcke. (2005). Embeddings of negative-type metrics and an improved approximation to generalized sparsest cut. Symposium on Discrete Algorithms. 102–111. 36 indexed citations
18.
Bansal, Nikhil, Avrim Blum, & Shuchi Chawla. (2003). Correlation clustering. 238–247. 106 indexed citations
19.
Blum, Avrim, Shuchi Chawla, & Adam Tauman Kalai. (2002). Static optimality and dynamic search-optimality in lists and trees. Symposium on Discrete Algorithms. 1–8. 16 indexed citations
20.
Smotherman, Mark, et al.. (1993). Instruction scheduling for the Motorola 88110. International Symposium on Microarchitecture. 257–262. 2 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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