Ramesh Johari

8.8k total citations · 2 hit papers
118 papers, 5.4k citations indexed

About

Ramesh Johari is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Ramesh Johari has authored 118 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Management Science and Operations Research, 39 papers in Economics and Econometrics and 35 papers in Computer Networks and Communications. Recurrent topics in Ramesh Johari's work include Game Theory and Applications (39 papers), Auction Theory and Applications (32 papers) and Economic theories and models (23 papers). Ramesh Johari is often cited by papers focused on Game Theory and Applications (39 papers), Auction Theory and Applications (32 papers) and Economic theories and models (23 papers). Ramesh Johari collaborates with scholars based in United States, Israel and Canada. Ramesh Johari's co-authors include John N. Tsitsiklis, Te-Yuan Huang, Nick McKeown, Mark A. Watson, Carlos Riquelme, Siddhartha Banerjee, Vijay V. Vazirani, David C. Parkes, James Schummer and Bruno Codenotti and has published in prestigious journals such as Nature Medicine, The Journal of Clinical Endocrinology & Metabolism and IEEE Transactions on Automatic Control.

In The Last Decade

Ramesh Johari

115 papers receiving 5.3k citations

Hit Papers

Algorithmic Game Theory 2007 2026 2013 2019 2007 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Johari United States 31 2.2k 1.7k 1.3k 940 792 118 5.4k
Vahab Mirrokni United States 35 2.1k 1.0× 1.8k 1.1× 1.7k 1.4× 377 0.4× 488 0.6× 220 6.2k
David B. Shmoys United States 44 4.3k 2.0× 1.1k 0.6× 343 0.3× 601 0.6× 323 0.4× 124 8.4k
Yevgeniy Dodis United States 22 977 0.4× 953 0.6× 642 0.5× 619 0.7× 441 0.6× 70 3.8k
Refael Hassin Israel 35 1.4k 0.7× 790 0.5× 286 0.2× 776 0.8× 173 0.2× 178 5.3k
Andrew Lim Singapore 52 798 0.4× 1.1k 0.7× 469 0.4× 420 0.4× 229 0.3× 322 8.9k
Nicole Immorlica United States 24 989 0.5× 1.1k 0.7× 1.5k 1.2× 173 0.2× 444 0.6× 99 3.9k
Xiaotie Deng China 35 1.4k 0.7× 1.9k 1.1× 353 0.3× 360 0.4× 487 0.6× 233 5.4k
Joan Feigenbaum United States 32 2.3k 1.0× 1.5k 0.9× 194 0.2× 394 0.4× 304 0.4× 135 5.5k
Michael P. Wellman United States 40 1.6k 0.7× 3.2k 1.9× 212 0.2× 245 0.3× 359 0.5× 231 6.7k
Gerhard J. Woeginger Netherlands 42 2.7k 1.2× 916 0.6× 367 0.3× 463 0.5× 206 0.3× 348 6.3k

Countries citing papers authored by Ramesh Johari

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Johari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Johari

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Johari. A scholar is included among the top collaborators of Ramesh Johari 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 Ramesh Johari. Ramesh Johari 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.
Johari, Ramesh, et al.. (2024). Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach. Operations Research. 72(5). 1928–1957. 6 indexed citations
2.
Bunning, Bryan, Haley Hedlin, Jonathan H. Chen, et al.. (2023). The evolving role of data & safety monitoring boards for real-world clinical trials. Journal of Clinical and Translational Science. 7(1). e179–e179. 1 indexed citations
3.
Chang, Annie, Dessi P. Zaharieva, David M. Maahs, et al.. (2023). A quantitative model to ensure capacity sufficient for timely access to care in a remote patient monitoring program. Endocrinology Diabetes & Metabolism. 6(5). e435–e435. 2 indexed citations
4.
Chang, Annie, Priya Prahalad, Ramesh Johari, et al.. (2022). A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care. Frontiers in Endocrinology. 13. 1021982–1021982. 6 indexed citations
5.
Scheinker, David, et al.. (2022). A New Technology-Enabled Care Model for Pediatric Type 1 Diabetes. NEJM Catalyst. 3(5). 12 indexed citations
6.
Johari, Ramesh, et al.. (2021). Managing Congestion in Matching Markets. Manufacturing & Service Operations Management. 23(3). 620–636. 27 indexed citations
7.
Johari, Ramesh, et al.. (2021). Matching While Learning. Operations Research. 69(2). 655–681. 13 indexed citations
8.
Jun, Daniel, Ming Yeh Lee, Christos Vasilakis, et al.. (2021). Population‐level management of type 1 diabetes via continuous glucose monitoring and algorithm‐enabled patient prioritization: Precision health meets population health. Pediatric Diabetes. 22(7). 982–991. 23 indexed citations
9.
Johari, Ramesh, et al.. (2018). Learning with Abandonment. International Conference on Machine Learning. 4509–4517. 1 indexed citations
10.
Dee, Thomas S., et al.. (2018). How a Data-Driven Course Planning Tool Affects College Students' GPA: Evidence from Two Field Experiments. SSRN Electronic Journal. 3 indexed citations
11.
Banerjee, Siddhartha, Carlos Riquelme, & Ramesh Johari. (2015). Pricing in Ride-Share Platforms: A Queueing-Theoretic Approach. SSRN Electronic Journal. 162 indexed citations
12.
Berry, Randall & Ramesh Johari. (2013). Economic Modeling in Networking: A Primer. 6(3). 165–286. 7 indexed citations
13.
Johari, Ramesh, et al.. (2011). Committing Bandits. Neural Information Processing Systems. 24. 1557–1565. 3 indexed citations
14.
Adlakha, Sachin, Ramesh Johari, & Gabriel Y. Weintraub. (2011). Equilibria of Dynamic Games with Many Players: Existence, Approximation, and Market Structure. SSRN Electronic Journal. 27 indexed citations
15.
Johari, Ramesh & John N. Tsitsiklis. (2011). Parameterized Supply Function Bidding: Equilibrium and Efficiency. Operations Research. 59(5). 1079–1089. 71 indexed citations
16.
Adlakha, Sachin, Ramesh Johari, Gabriel Y. Weintraub, & Andrea Goldsmith. (2010). On oblivious equilibrium in large population stochastic games. 3117–3124. 13 indexed citations
17.
Johari, Ramesh & John N. Tsitsiklis. (2009). Efficiency of Scalar-Parameterized Mechanisms. Operations Research. 57(4). 823–839. 86 indexed citations
18.
Freedman, Michael J., Christina Aperjis, & Ramesh Johari. (2008). Prices are right: managing resources and incentives in peer-assisted content distribution. 18–18. 18 indexed citations
19.
Nisan, Noam, Christos H. Papadimitriou, Éva Tardos, et al.. (2007). Algorithmic Game Theory. Cambridge University Press eBooks. 1422 indexed citations breakdown →
20.
Johari, Ramesh, Shie Mannor, & John N. Tsitsiklis. (2005). A contract-based model for directed network formation. Games and Economic Behavior. 56(2). 201–224. 46 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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