Jugal Garg
- Economics and Econometrics top 5%
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Safety Research
- Co-authors
- Ruta MehtaKurt MehlhornVijay V. VaziraniRakesh NagiMilind SohoniAshlynn S. StillwellMartin HoeferLászló A. Végh
- Topics
- Game Theory and Voting Systems (36 papers)Economic theories and models (30 papers)Auction Theory and Applications (28 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsGeneral Decision Sciences
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Jugal Garg
49 papers receiving 386 citations
Peers
Comparison fields: 5 of 53
- Economics and Econometrics 263
- Management Science and Operations Research 229
- Computational Theory and Mathematics 75
- Computer Networks and Communications 60
- Safety Research 28
Countries citing papers authored by Jugal Garg
This map shows the geographic impact of Jugal Garg'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 Jugal Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jugal Garg more than expected).
Fields of papers citing papers by Jugal Garg
This network shows the impact of papers produced by Jugal Garg. 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 Jugal Garg. The network helps show where Jugal Garg may publish in the future.
Co-authorship network of co-authors of Jugal Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Jugal Garg. A scholar is included among the top collaborators of Jugal Garg 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 Jugal Garg. Jugal Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | Fair and Efficient Allocations under Subadditive Valuations | 11 |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 1 |
About Jugal Garg
Jugal Garg is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Decision Sciences, having authored 57 papers that have together received 398 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (36 papers), Economic theories and models (30 papers) and Auction Theory and Applications (28 papers). The work is most often cited by research in Management Science and Operations Research (229 citations), Economics and Econometrics (263 citations) and General Decision Sciences (13 citations). Jugal Garg has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Ruta Mehta, Kurt Mehlhorn, Vijay V. Vazirani, Rakesh Nagi, Milind Sohoni, Ashlynn S. Stillwell, Martin Hoefer, László A. Végh, Xiaohui Bei and Nikhil R. Devanur. Their work appears in journals such as Water Resources Research, European Journal of Operational Research and Operations Research.
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.