Fernando Vega‐Redondo
- Economics and Econometrics top 0.5%
- Management Science and Operations Research top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Sociology and Political Science top 1%
- Safety Research top 0.5%
- Co-authors
- Sanjeev GoyalGiorgio FagioloDidier SornetteFrank SchweitzerDougľas R. WhiteAlessandro VespignaniAndrea GaleottiArthur J. Robson
- Topics
- Game Theory and Applications (50 papers)Economic theories and models (33 papers)Opinion Dynamics and Social Influence (26 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Fernando Vega‐Redondo
83 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Economics and Econometrics 1.5k
- Management Science and Operations Research 1.4k
- Statistical and Nonlinear Physics 1.1k
- Sociology and Political Science 1.0k
- Safety Research 724
Countries citing papers authored by Fernando Vega‐Redondo
This map shows the geographic impact of Fernando Vega‐Redondo'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 Fernando Vega‐Redondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Vega‐Redondo more than expected).
Fields of papers citing papers by Fernando Vega‐Redondo
This network shows the impact of papers produced by Fernando Vega‐Redondo. 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 Fernando Vega‐Redondo. The network helps show where Fernando Vega‐Redondo may publish in the future.
Co-authorship network of co-authors of Fernando Vega‐Redondo
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Vega‐Redondo. A scholar is included among the top collaborators of Fernando Vega‐Redondo 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 Fernando Vega‐Redondo. Fernando Vega‐Redondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | Risk-sharing and contagion network | 1 |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 103 | |
| 8 | 68 | |
| 9 | Economic Networks: The New Challengesbreakdown → | 615 |
| 10 | 56 | |
| 11 | 29 | |
| 12 | 58 | |
| 13 | 151 | |
| 14 | 7 | |
| 15 | LEARNING,NETWORKFORMATION AND COORDINATION* | 7 |
| 16 | Markets under bounded rationality: from theory to facts | 5 |
| 17 | Externalities, Expectations, and Growth | 0 |
| 18 | Asynchronous Choice and Markov Equilibria:Theoretical Foundations and Applications | 2 |
| 19 | 1 | |
| 20 | 8 |
About Fernando Vega‐Redondo
Fernando Vega‐Redondo is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and General Decision Sciences, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Game Theory and Applications (50 papers), Economic theories and models (33 papers) and Opinion Dynamics and Social Influence (26 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), Statistical and Nonlinear Physics (1.1k citations) and Safety Research (724 citations). Fernando Vega‐Redondo has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Sanjeev Goyal, Giorgio Fagiolo, Didier Sornette, Frank Schweitzer, Dougľas R. White, Alessandro Vespignani, Andrea Galeotti, Arthur J. Robson, Matthew O. Jackson and Leeat Yariv. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Econometrica.
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.