Shayan Ehsani
Impact in
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- Game Theory and Applications
- Auction Theory and Applications
- Management Information Systems top 10%
- Supply Chain and Inventory Management
Papers in
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- Game Theory and Applications 7
- Auction Theory and Applications 3
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- Digital Platforms and Economics 3
- Supply Chain Resilience and Risk Management 2
- Co-authors
- Kostas Bimpikis (6 shared papers)Rahmi İlkılıç (2 shared papers)Ozan Candogan (2 shared papers)Mohamed Mostagir (2 shared papers)Hamid Mahini (3 shared papers)Mohammad Ghodsi (3 shared papers)Nima Haghpanah (2 shared papers)Vahab Mirrokni (2 shared papers)
- Journals
- Management Science (2 papers)Operations Research (1 paper)Theoretical Computer Science (1 paper)ACM Transactions on Algorithms (1 paper)Information Processing Letters (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
Shayan Ehsani
12 papers receiving 260 citations
Peers
Comparison fields: 5 of 54
- Management Science and Operations Research 118
- Management Information Systems 80
- Strategy and Management 110
- Marketing 30
- Safety Research 25
Countries citing papers authored by Shayan Ehsani
This map shows the geographic impact of Shayan Ehsani'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 Shayan Ehsani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shayan Ehsani more than expected).
Fields of papers citing papers by Shayan Ehsani
This network shows the impact of papers produced by Shayan Ehsani. 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 Shayan Ehsani. The network helps show where Shayan Ehsani may publish in the future.
Co-authors
The 14 scholars most cited alongside Shayan Ehsani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2019 | 59 | |
| 3 | 2019 | 32 | |
| 4 | 2014 | 32 | |
| 5 | 2017 | 18 | |
| 6 | Equilibrium pricing with positive externalities | 2010 | 14 |
| 7 | 2011 | 13 | |
| 8 | 2015 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2011 | 8 | |
| 11 | 2013 | 7 | |
| 12 | Disclosing Information in Strategic Experimentation | 2018 | 1 |
About Shayan Ehsani
Shayan Ehsani is a scholar working on Management Science and Operations Research, Strategy and Management, Economics and Econometrics, Marketing and Safety Research, having authored 12 papers that have together received 267 indexed citations. Recurring topics across this work include Game Theory and Applications (7 papers), Digital Platforms and Economics (3 papers), Auction Theory and Applications (3 papers), Merger and Competition Analysis (3 papers), Consumer Market Behavior and Pricing (2 papers), Experimental Behavioral Economics Studies (2 papers), Economic theories and models (2 papers) and Supply Chain Resilience and Risk Management (2 papers). The work is most often cited by research in Management Science and Operations Research (118 citations), Management Information Systems (80 citations), Strategy and Management (110 citations), Marketing (30 citations) and Safety Research (25 citations). Shayan Ehsani has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Kostas Bimpikis, Rahmi İlkılıç, Ozan Candogan, Mohamed Mostagir, Hamid Mahini, Mohammad Ghodsi, Nima Haghpanah, Vahab Mirrokni, Nicole Immorlica and MohammadAmin Fazli. Their work appears in journals such as Management Science, Operations Research, Theoretical Computer Science, ACM Transactions on Algorithms and Information Processing Letters.
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.