Yamir Moreno
- Statistical and Nonlinear Physics top 0.01%
- Computer Networks and Communications top 0.05%
- Sociology and Political Science top 0.05%
- Cognitive Neuroscience top 0.5%
- Molecular Biology top 5%
- Co-authors
- Vito LatoraStefano BoccalettiDong‐Uk HwangMario ChávezÀlex ArenasJesús Gómez‐GardeñesAlbert Dı́az-GuileraJürgen Kurths
- Topics
- Complex Network Analysis Techniques (122 papers)Opinion Dynamics and Social Influence (99 papers)Evolutionary Game Theory and Cooperation (66 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- SpainItalyUnited States
In The Last Decade
Yamir Moreno
236 papers receiving 26.0k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Statistical and Nonlinear Physics 15.0k
- Computer Networks and Communications 7.3k
- Sociology and Political Science 6.1k
- Cognitive Neuroscience 2.8k
- Molecular Biology 2.4k
Countries citing papers authored by Yamir Moreno
This map shows the geographic impact of Yamir Moreno'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 Yamir Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yamir Moreno more than expected).
Fields of papers citing papers by Yamir Moreno
This network shows the impact of papers produced by Yamir Moreno. 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 Yamir Moreno. The network helps show where Yamir Moreno may publish in the future.
Co-authorship network of co-authors of Yamir Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of Yamir Moreno. A scholar is included among the top collaborators of Yamir Moreno 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 Yamir Moreno. Yamir Moreno 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 | 10 | |
| 3 | 29 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | Dynamics of heuristics selection for cooperative behaviour | 6 |
| 9 | 81 | |
| 10 | The physics of higher-order interactions in complex systemsbreakdown → | 520 |
| 11 | 55 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | Unfolding the complexity of the global value chain: Strength and entropy in the single-layer, multiplex, and multi-layer international trade networks | 24 |
| 15 | 25 | |
| 16 | 25 | |
| 17 | 26 | |
| 18 | 20 | |
| 19 | Diffusion Dynamics and Optimal Coupling in Multiplex Networks with Directed Layers | 48 |
| 20 | Evolutionary dynamics of group interactions on structured populations: a reviewbreakdown → | 747 |
About Yamir Moreno
Yamir Moreno is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Safety Research, having authored 247 papers that have together received 26.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (122 papers), Opinion Dynamics and Social Influence (99 papers) and Evolutionary Game Theory and Cooperation (66 papers). The work is most often cited by research in Statistical and Nonlinear Physics (15.0k citations), Modeling and Simulation (2.0k citations) and Computer Networks and Communications (7.3k citations). Yamir Moreno has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Vito Latora, Stefano Boccaletti, Dong‐Uk Hwang, Mario Chávez, Àlex Arenas, Jesús Gómez‐Gardeñes, Albert Dı́az-Guilera, Jürgen Kurths, Changsong Zhou and A. F. Pacheco. 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.