Pooya Molavi
- Statistical and Nonlinear Physics top 2%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Co-authors
- Ali JadbabaieAlireza Tahbaz-SalehiAlvaro SandroniCeyhun EksinAlejandro RibeiroM. Amin RahimianKamiar Rahnama RadAndrea Vedolin
- Topics
- Game Theory and Applications (15 papers)Opinion Dynamics and Social Influence (13 papers)Complex Network Analysis Techniques (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsManagement Science and Operations ResearchComputer Networks and Communications
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Pooya Molavi
20 papers receiving 582 citations
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 303
- Management Science and Operations Research 247
- Computer Networks and Communications 166
- Artificial Intelligence 131
- Sociology and Political Science 111
Countries citing papers authored by Pooya Molavi
This map shows the geographic impact of Pooya Molavi'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 Pooya Molavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooya Molavi more than expected).
Fields of papers citing papers by Pooya Molavi
This network shows the impact of papers produced by Pooya Molavi. 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 Pooya Molavi. The network helps show where Pooya Molavi may publish in the future.
Co-authorship network of co-authors of Pooya Molavi
This figure shows the co-authorship network connecting the top 25 collaborators of Pooya Molavi. A scholar is included among the top collaborators of Pooya Molavi 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 Pooya Molavi. Pooya Molavi 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 | 3 | |
| 3 | Macroeconomics with Learning and Misspecification: A General Theory and Applications | 22 |
| 4 | 101 | |
| 5 | 23 | |
| 6 | 15 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | Essays on Learning in Social Networks | 0 |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 52 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 312 | |
| 19 | 4 | |
| 20 | 2 |
About Pooya Molavi
Pooya Molavi is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and General Economics, Econometrics and Finance, having authored 22 papers that have together received 604 indexed citations. Recurring topics across this work include Game Theory and Applications (15 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (303 citations), Management Science and Operations Research (247 citations) and Computer Networks and Communications (166 citations). Pooya Molavi has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ali Jadbabaie, Alireza Tahbaz-Salehi, Alvaro Sandroni, Ceyhun Eksin, Alejandro Ribeiro, M. Amin Rahimian, Kamiar Rahnama Rad and Andrea Vedolin. Their work appears in journals such as Econometrica, IEEE Transactions on Signal Processing and The Review of Economic Studies.
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.