Álex Rodríguez
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology top 10%
- Statistical and Nonlinear Physics top 1%
- Signal Processing top 1%
- Co-authors
- Alessandro LaioMaria d’ErricoElena FaccoAldo GlielmoCecilia ClementiFrank NoéBrooke E. HusicFolker Meyer
- Topics
- Protein Structure and Dynamics (13 papers)Genomics and Phylogenetic Studies (12 papers)Scientific Computing and Data Management (9 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Álex Rodríguez
63 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 1.1k
- Molecular Biology 978
- Statistical and Nonlinear Physics 593
- Signal Processing 505
Countries citing papers authored by Álex Rodríguez
This map shows the geographic impact of Álex Rodríguez'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 Álex Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Álex Rodríguez more than expected).
Fields of papers citing papers by Álex Rodríguez
This network shows the impact of papers produced by Álex Rodríguez. 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 Álex Rodríguez. The network helps show where Álex Rodríguez may publish in the future.
Co-authorship network of co-authors of Álex Rodríguez
This figure shows the co-authorship network connecting the top 25 collaborators of Álex Rodríguez. A scholar is included among the top collaborators of Álex Rodríguez 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 Álex Rodríguez. Álex Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | Una rivalidad compleja | 0 |
| 12 | 16 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 15 | |
| 17 | 94 | |
| 18 | 21 | |
| 19 | 14 | |
| 20 | 13 |
About Álex Rodríguez
Álex Rodríguez is a scholar working on Information Systems and Management, Molecular Biology and Statistical and Nonlinear Physics, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Genomics and Phylogenetic Studies (12 papers) and Scientific Computing and Data Management (9 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (1.1k citations) and Statistical and Nonlinear Physics (593 citations). Álex Rodríguez has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Alessandro Laio, Maria d’Errico, Elena Facco, Aldo Glielmo, Cecilia Clementi, Frank Noé, Brooke E. Husic, Folker Meyer, Ross Overbeek and Ravi Madduri. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.