Marina Agranov
- Economics and Econometrics top 5%
- Safety Research top 1%
- General Decision Sciences top 1%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Co-authors
- Pietro OrtolevaChloe TergimanThomas R. PalfreyAndrew SchotterLeeat YarivAndrew CaplinMatt ElliottAlberto Bisin
- Topics
- Experimental Behavioral Economics Studies (27 papers)Game Theory and Voting Systems (11 papers)Decision-Making and Behavioral Economics (11 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Marina Agranov
37 papers receiving 672 citations
Peers
Comparison fields: 5 of 61
- Economics and Econometrics 367
- Safety Research 336
- General Decision Sciences 241
- Management Science and Operations Research 166
- Sociology and Political Science 122
Countries citing papers authored by Marina Agranov
This map shows the geographic impact of Marina Agranov'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 Marina Agranov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Agranov more than expected).
Fields of papers citing papers by Marina Agranov
This network shows the impact of papers produced by Marina Agranov. 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 Marina Agranov. The network helps show where Marina Agranov may publish in the future.
Co-authorship network of co-authors of Marina Agranov
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Agranov. A scholar is included among the top collaborators of Marina Agranov 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 Marina Agranov. Marina Agranov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 67 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 40 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 32 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 27 | |
| 19 | Ignorance is Bliss: An Experimental Study of the Use of Ambiguity and Vagueness in the Coordination Games with Asymmetric Payoffs | 3 |
| 20 | 5 |
About Marina Agranov
Marina Agranov is a scholar working on General Decision Sciences, Safety Research and Economics and Econometrics, having authored 39 papers that have together received 690 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (27 papers), Game Theory and Voting Systems (11 papers) and Decision-Making and Behavioral Economics (11 papers). The work is most often cited by research in General Decision Sciences (241 citations), Safety Research (336 citations) and Management Science and Operations Research (166 citations). Marina Agranov has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pietro Ortoleva, Chloe Tergiman, Thomas R. Palfrey, Andrew Schotter, Leeat Yariv, Andrew Caplin, Matt Elliott, Alberto Bisin, Jacob K. Goeree and Christopher Cotton. Their work appears in journals such as Management Science, Journal of Political Economy and The Economic Journal.
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.