Garud Iyengar
- Management Science and Operations Research top 0.2%
- Finance top 1%
- Economics and Econometrics top 2%
- Management Information Systems top 2%
- Artificial Intelligence top 5%
- Co-authors
- Donald GoldfarbGuillermo GallegoRobert L. PhillipsCiamac C. MoallemiNecdet Serhat AybatWanmo KangJay SethuramanFahad Saleh
- Topics
- Risk and Portfolio Optimization (19 papers)Consumer Market Behavior and Pricing (13 papers)Stochastic processes and financial applications (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesFranceIndia
In The Last Decade
Garud Iyengar
86 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Management Science and Operations Research 1.3k
- Finance 538
- Economics and Econometrics 402
- Management Information Systems 370
- Artificial Intelligence 310
Countries citing papers authored by Garud Iyengar
This map shows the geographic impact of Garud Iyengar'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 Garud Iyengar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garud Iyengar more than expected).
Fields of papers citing papers by Garud Iyengar
This network shows the impact of papers produced by Garud Iyengar. 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 Garud Iyengar. The network helps show where Garud Iyengar may publish in the future.
Co-authorship network of co-authors of Garud Iyengar
This figure shows the co-authorship network connecting the top 25 collaborators of Garud Iyengar. A scholar is included among the top collaborators of Garud Iyengar 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 Garud Iyengar. Garud Iyengar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | Thompson Sampling for Multinomial Logit Contextual Bandits | 11 |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | A lower bound on the free energy cost of molecular measurements | 2 |
| 12 | 5 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | CORC Report TR-2006-01: Short Version Optimal Procurement Mechanisms for Divisible Goods with Capacitated Suppliers | 3 |
| 19 | 3 | |
| 20 | Voice channel | 2 |
About Garud Iyengar
Garud Iyengar is a scholar working on Management Science and Operations Research, Finance and Marketing, having authored 92 papers that have together received 2.5k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (19 papers), Consumer Market Behavior and Pricing (13 papers) and Stochastic processes and financial applications (12 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Finance (538 citations) and Management Information Systems (370 citations). Garud Iyengar has collaborated with scholars based in United States, France and India. Frequent co-authors include Donald Goldfarb, Guillermo Gallego, Robert L. Phillips, Ciamac C. Moallemi, Necdet Serhat Aybat, Wanmo Kang, Jay Sethuraman, Fahad Saleh, Olivier Toubia and Vineet Goyal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.
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.