Mohammad Akbarpour
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
- Marketing top 10%
- Consumer Market Behavior and Pricing
Papers in
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- Auction Theory and Applications 16
- Game Theory and Applications 6
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- Game Theory and Voting Systems 8
- Economic theories and models 5
- Co-authors
- Shengwu Li (11 shared papers)Shayan Oveis Gharan (3 shared papers)Scott Duke Kominers (11 shared papers)Piotr Dworczak (8 shared papers)Amin Saberi (4 shared papers)Afshin Nikzad (3 shared papers)Matthew O. Jackson (2 shared papers)Eric Budish (3 shared papers)
- Journals
- Econometrica (3 papers)Journal of Political Economy (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Review of Economic Studies (2 papers)Journal of Public Economics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mohammad Akbarpour
30 papers receiving 385 citations
Peers
Comparison fields: 5 of 67
- Management Science and Operations Research 193
- Marketing 82
- Transplantation 16
- Economics and Econometrics 154
- Modeling and Simulation 23
Countries citing papers authored by Mohammad Akbarpour
This map shows the geographic impact of Mohammad Akbarpour'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 Mohammad Akbarpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Akbarpour more than expected).
Fields of papers citing papers by Mohammad Akbarpour
This network shows the impact of papers produced by Mohammad Akbarpour. 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 Mohammad Akbarpour. The network helps show where Mohammad Akbarpour may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Akbarpour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2020 | 51 | |
| 3 | 2021 | 42 | |
| 4 | Just a Few Seeds More: Value of Network Information for Diffusion | 2018 | 22 |
| 5 | 2014 | 21 | |
| 6 | 2014 | 21 | |
| 7 | 2018 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2014 | 5 |
About Mohammad Akbarpour
Mohammad Akbarpour is a scholar working on Management Science and Operations Research, Economics and Econometrics, Computer Networks and Communications, Marketing and Health, having authored 34 papers that have together received 394 indexed citations. Recurring topics across this work include Auction Theory and Applications (16 papers), Game Theory and Voting Systems (8 papers), Game Theory and Applications (6 papers), Optimization and Search Problems (6 papers), Consumer Market Behavior and Pricing (6 papers), COVID-19 epidemiological studies (5 papers), Complex Network Analysis Techniques (5 papers) and Economic theories and models (5 papers). The work is most often cited by research in Management Science and Operations Research (193 citations), Marketing (82 citations), Transplantation (16 citations), Economics and Econometrics (154 citations) and Modeling and Simulation (23 citations). Mohammad Akbarpour has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Shengwu Li, Shayan Oveis Gharan, Scott Duke Kominers, Piotr Dworczak, Amin Saberi, Afshin Nikzad, Matthew O. Jackson, Eric Budish, Alvin E. Roth and Alexander Teytelboym. Their work appears in journals such as Econometrica, Journal of Political Economy, Proceedings of the National Academy of Sciences, The Review of Economic Studies and Journal of Public Economics.
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.