Claudio J. Tessone
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 43
- Opinion Dynamics and Social Influence 30
- stochastic dynamics and bifurcation 14
-
- Nonlinear Dynamics and Pattern Formation 14
- Information Systems top 2%
- Blockchain Technology Applications and Security 28
-
- Game Theory and Applications 10
-
- Complex Systems and Time Series Analysis 16
-
- Evolutionary Game Theory and Cooperation 15
Claudio J. Tessone
114 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Statistical and Nonlinear Physics 1.5k
- Computer Networks and Communications 593
- Information Systems 454
- Management Science and Operations Research 183
- Experimental and Cognitive Psychology 182
Countries citing papers authored by Claudio J. Tessone
This map shows the geographic impact of Claudio J. Tessone'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 Claudio J. Tessone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio J. Tessone more than expected).
Fields of papers citing papers by Claudio J. Tessone
This network shows the impact of papers produced by Claudio J. Tessone. 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 Claudio J. Tessone. The network helps show where Claudio J. Tessone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudio J. Tessone, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 8 | |
| 16 | 2019 | 7 | |
| 17 | Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach. | 2015 | 1 |
| 18 | 2014 | 128 | |
| 19 | Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks. | 2013 | 7 |
| 20 | 2007 | 3 |
About Claudio J. Tessone
Claudio J. Tessone is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Information Systems, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (43 papers), Opinion Dynamics and Social Influence (30 papers), Blockchain Technology Applications and Security (28 papers), Complex Systems and Time Series Analysis (16 papers), Evolutionary Game Theory and Cooperation (15 papers), Nonlinear Dynamics and Pattern Formation (14 papers), stochastic dynamics and bifurcation (14 papers) and Game Theory and Applications (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Computer Networks and Communications (593 citations) and Information Systems (454 citations). Claudio J. Tessone has collaborated with scholars based in Switzerland, Spain and China. Frequent co-authors include Zhao Yang, René Algesheimer, Frank Schweitzer, Raúl Toral, Paolo Tasca, Ingo Scholtes, Horacio S. Wio, Yves Zénou, Antonios Garas and Michael König. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.