Luís M. Rocha
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
-
- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 8
- Cellular Automata and Applications 7
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- Semantic Web and Ontologies 7
- Topic Modeling 6
- Co-authors
- Prashant ShiralkarAlessandro FlamminiJohan BollenFilippo MenczerGiovanni Luca CiampagliaLang LiArtemy KolchinskyHeng‐Yi Wu
- Journals
- Artificial Life (5 papers)PLoS ONE (4 papers)International Journal of General Systems (3 papers)BMC Bioinformatics (3 papers)npj Digital Medicine (2 papers)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Luís M. Rocha
89 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 433
- Computational Theory and Mathematics 200
- Statistical and Nonlinear Physics 128
- Health Informatics 12
- Information Systems 182
Countries citing papers authored by Luís M. Rocha
This map shows the geographic impact of Luís M. Rocha'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 Luís M. Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luís M. Rocha more than expected).
Fields of papers citing papers by Luís M. Rocha
This network shows the impact of papers produced by Luís M. Rocha. 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 Luís M. Rocha. The network helps show where Luís M. Rocha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luís M. Rocha, 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 | Challenges and opportunities for digital twins in precision medicine from a complex systems perspective Hit paper breakdown → | 2025 | 34 |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 43 | |
| 14 | 2019 | 14 | |
| 15 | Prediction and modularity in dynamical systems. | 2011 | 1 |
| 16 | Collective Classification of Biomedical Articles using T-Cell Cross-regulation | 2010 | 1 |
| 17 | Conceptual Structure in Cellular Automata - The Density Classification Task. | 2008 | 7 |
| 18 | Artificial Life X: Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems (Bradford Books) | 2006 | 2 |
| 19 | 2004 | 1 | |
| 20 | 1999 | 11 |
About Luís M. Rocha
Luís M. Rocha is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics, Aging and Management Science and Operations Research, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Bioinformatics and Genomic Networks (12 papers), Gene Regulatory Network Analysis (9 papers), Computational Drug Discovery Methods (8 papers), Complex Network Analysis Techniques (8 papers), Cellular Automata and Applications (7 papers), Semantic Web and Ontologies (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (433 citations), Computational Theory and Mathematics (200 citations), Statistical and Nonlinear Physics (128 citations), Health Informatics (12 citations) and Information Systems (182 citations). Luís M. Rocha has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Prashant Shiralkar, Alessandro Flammini, Johan Bollen, Filippo Menczer, Giovanni Luca Ciampaglia, Lang Li, Artemy Kolchinsky, Heng‐Yi Wu, Anália Lourenço and Cliff Joslyn. Their work appears in journals such as Artificial Life, PLoS ONE, International Journal of General Systems, BMC Bioinformatics and npj Digital Medicine.
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.