F. Vega-Redondo
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Network Traffic and Congestion Control
- Opportunistic and Delay-Tolerant Networks
- Peer-to-Peer Network Technologies
Papers in
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- Complex Network Analysis Techniques 4
- Opinion Dynamics and Social Influence 3
- Advanced Thermodynamics and Statistical Mechanics 1
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- Game Theory and Applications 2
- Co-authors
- Àlex Arenas (3 shared papers)Albert Dı́az-Guilera (3 shared papers)Roger Guimerà (1 shared paper)Antonio Cabrales (1 shared paper)Conrad J. Pérez (2 shared papers)Matteo Marsili (1 shared paper)Juan Carlos González-Avella (1 shared paper)Victor M. Eguı́luz (1 shared paper)
- Journals
- Advances in Complex Systems (1 paper)Physical Review Letters (1 paper)Journal of Complex Networks (1 paper)PLoS ONE (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (1 paper)
- Partner nations
- SpainItalyUnited Kingdom
In The Last Decade
F. Vega-Redondo
5 papers receiving 467 citations
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 393
- Computer Networks and Communications 203
- Geometry and Topology 44
- Transportation 30
- Management Science and Operations Research 44
Countries citing papers authored by F. Vega-Redondo
This map shows the geographic impact of F. 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 F. 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 F. Vega-Redondo more than expected).
Fields of papers citing papers by F. Vega-Redondo
This network shows the impact of papers produced by F. 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 F. Vega-Redondo. The network helps show where F. Vega-Redondo may publish in the future.
Co-authors
The 10 scholars most cited alongside F. Vega-Redondo, 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 | 2002 | 427 | |
| 2 | 2000 | 29 | |
| 3 | 2011 | 25 | |
| 4 | 2013 | 8 | |
| 5 | 2001 | 1 | |
| 6 | 2009 | 0 |
About F. Vega-Redondo
F. Vega-Redondo is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Economics and Econometrics, Communication and Strategy and Management, having authored 6 papers that have together received 490 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Complex Systems and Time Series Analysis (3 papers), Opinion Dynamics and Social Influence (3 papers), Game Theory and Applications (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Economic theories and models (1 paper), Knowledge Management and Sharing (1 paper) and Innovation and Knowledge Management (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (393 citations), Computer Networks and Communications (203 citations), Geometry and Topology (44 citations), Transportation (30 citations) and Management Science and Operations Research (44 citations). F. Vega-Redondo has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Àlex Arenas, Albert Dı́az-Guilera, Roger Guimerà, Antonio Cabrales, Conrad J. Pérez, Matteo Marsili, Juan Carlos González-Avella, Victor M. Eguı́luz, M. San Miguel and Sanjeev Goyal. Their work appears in journals such as Advances in Complex Systems, Physical Review Letters, Journal of Complex Networks, PLoS ONE and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.