Diego Luis Gonzalez
- Statistical and Nonlinear Physics top 2%
- Molecular Biology
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Astronomy and Astrophysics top 10%
- Co-authors
- Oreste PiroSimone GianneriniJulyan H. E. CartwrightReinaldo R. RosaLutz StrüngmannElena FimmelMario FeingoldO. Calvo
- Topics
- Nonlinear Dynamics and Pattern Formation (17 papers)RNA and protein synthesis mechanisms (12 papers)Chaos control and synchronization (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersSHILAP Revista de lepidopterología
In The Last Decade
Diego Luis Gonzalez
52 papers receiving 753 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 276
- Molecular Biology 248
- Computer Networks and Communications 236
- Cognitive Neuroscience 143
- Astronomy and Astrophysics 81
Countries citing papers authored by Diego Luis Gonzalez
This map shows the geographic impact of Diego Luis Gonzalez'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 Diego Luis Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Luis Gonzalez more than expected).
Fields of papers citing papers by Diego Luis Gonzalez
This network shows the impact of papers produced by Diego Luis Gonzalez. 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 Diego Luis Gonzalez. The network helps show where Diego Luis Gonzalez may publish in the future.
Co-authorship network of co-authors of Diego Luis Gonzalez
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Luis Gonzalez. A scholar is included among the top collaborators of Diego Luis Gonzalez 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 Diego Luis Gonzalez. Diego Luis Gonzalez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 48 | |
| 12 | 13 | |
| 13 | 33 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 54 | |
| 19 | 1 | |
| 20 | 17 |
About Diego Luis Gonzalez
Diego Luis Gonzalez is a scholar working on Statistical and Nonlinear Physics, Theoretical Computer Science and Computer Networks and Communications, having authored 54 papers that have together received 795 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (17 papers), RNA and protein synthesis mechanisms (12 papers) and Chaos control and synchronization (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (276 citations), Computer Networks and Communications (236 citations) and Cognitive Neuroscience (143 citations). Diego Luis Gonzalez has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include Oreste Piro, Simone Giannerini, Julyan H. E. Cartwright, Reinaldo R. Rosa, Lutz Strüngmann, Elena Fimmel, Mario Feingold, O. Calvo, Guillermo Botella and Carlos García. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.
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.