Felix Reed‐Tsochas
- Statistical and Nonlinear Physics top 2%
- Strategy and Management top 2%
- Sociology and Political Science top 5%
- Industrial and Manufacturing Engineering top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Brian UzziJukka‐Pekka OnnelaSerguei SaavedraLuı́s A. Nunes AmaralEduardo LópezSam G. B. RobertsJari SaramäkiRobin Dunbar
- Topics
- Complex Network Analysis Techniques (9 papers)Opinion Dynamics and Social Influence (5 papers)Evolutionary Game Theory and Cooperation (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsStrategy and ManagementBusiness and International Management
- Partner nations
- United KingdomUnited StatesChile
In The Last Decade
Felix Reed‐Tsochas
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Statistical and Nonlinear Physics 433
- Strategy and Management 415
- Sociology and Political Science 362
- Industrial and Manufacturing Engineering 162
- Ecology, Evolution, Behavior and Systematics 156
Countries citing papers authored by Felix Reed‐Tsochas
This map shows the geographic impact of Felix Reed‐Tsochas'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 Felix Reed‐Tsochas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Reed‐Tsochas more than expected).
Fields of papers citing papers by Felix Reed‐Tsochas
This network shows the impact of papers produced by Felix Reed‐Tsochas. 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 Felix Reed‐Tsochas. The network helps show where Felix Reed‐Tsochas may publish in the future.
Co-authorship network of co-authors of Felix Reed‐Tsochas
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Reed‐Tsochas. A scholar is included among the top collaborators of Felix Reed‐Tsochas 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 Felix Reed‐Tsochas. Felix Reed‐Tsochas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 74 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 27 | |
| 8 | 6 | |
| 9 | 95 | |
| 10 | 3D printing in the commons: knowledge and the nature of digital and physical resources | 1 |
| 11 | 43 | |
| 12 | 62 | |
| 13 | 187 | |
| 14 | 13 | |
| 15 | 115 | |
| 16 | 8 | |
| 17 | 174 | |
| 18 | 131 | |
| 19 | 63 | |
| 20 | 7 |
About Felix Reed‐Tsochas
Felix Reed‐Tsochas is a scholar working on Statistical and Nonlinear Physics, Transportation and Museology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (433 citations), Strategy and Management (415 citations) and Business and International Management (54 citations). Felix Reed‐Tsochas has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include Brian Uzzi, Jukka‐Pekka Onnela, Serguei Saavedra, Luı́s A. Nunes Amaral, Eduardo López, Sam G. B. Roberts, Jari Saramäki, Robin Dunbar, Anand Nair and Mélanie Despeisse. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.