Raul Rodriguez‐Esteban
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Cognitive Neuroscience
- Genetics
- Co-authors
- Christopher CherniakFabian SchmichMichael P. MendenIvan IossifovMarkus BundschusAndrey RzhetskyWilliam LogingFabio Rinaldi
- Topics
- Biomedical Text Mining and Ontologies (21 papers)Bioinformatics and Genomic Networks (9 papers)Topic Modeling (6 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Raul Rodriguez‐Esteban
38 papers receiving 613 citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 315
- Artificial Intelligence 127
- Computational Theory and Mathematics 107
- Cognitive Neuroscience 77
- Genetics 34
Countries citing papers authored by Raul Rodriguez‐Esteban
This map shows the geographic impact of Raul Rodriguez‐Esteban'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 Raul Rodriguez‐Esteban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raul Rodriguez‐Esteban more than expected).
Fields of papers citing papers by Raul Rodriguez‐Esteban
This network shows the impact of papers produced by Raul Rodriguez‐Esteban. 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 Raul Rodriguez‐Esteban. The network helps show where Raul Rodriguez‐Esteban may publish in the future.
Co-authorship network of co-authors of Raul Rodriguez‐Esteban
This figure shows the co-authorship network connecting the top 25 collaborators of Raul Rodriguez‐Esteban. A scholar is included among the top collaborators of Raul Rodriguez‐Esteban 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 Raul Rodriguez‐Esteban. Raul Rodriguez‐Esteban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 97 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 6 | |
| 12 | 23 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 64 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 20 |
About Raul Rodriguez‐Esteban
Raul Rodriguez‐Esteban is a scholar working on Health Informatics, Information Systems and Management and Molecular Biology, having authored 39 papers that have together received 631 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Bioinformatics and Genomic Networks (9 papers) and Topic Modeling (6 papers). The work is most often cited by research in Health Informatics (23 citations), Computational Theory and Mathematics (107 citations) and Molecular Biology (315 citations). Raul Rodriguez‐Esteban has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christopher Cherniak, Fabian Schmich, Michael P. Menden, Ivan Iossifov, Markus Bundschus, Andrey Rzhetsky, William Loging, Fabio Rinaldi, Jon Hill and Murat Cokol. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.
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.