Jorge Martínez-Gil
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Co-authors
- José F. Aldana‐MontesJosé M. Chaves-GonzálezDieter FenselDavid GabauerGeorg BuchgeherGeorgios C. ChasparisIsmael Navas‐DelgadoA Min Tjoa
- Topics
- Semantic Web and Ontologies (18 papers)Topic Modeling (16 papers)Natural Language Processing Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Knowledge and Data Engineering
In The Last Decade
Jorge Martínez-Gil
53 papers receiving 388 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 274
- Information Systems 121
- Molecular Biology 72
- Management Science and Operations Research 42
- Computer Networks and Communications 26
Countries citing papers authored by Jorge Martínez-Gil
This map shows the geographic impact of Jorge Martínez-Gil'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 Jorge Martínez-Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Martínez-Gil more than expected).
Fields of papers citing papers by Jorge Martínez-Gil
This network shows the impact of papers produced by Jorge Martínez-Gil. 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 Jorge Martínez-Gil. The network helps show where Jorge Martínez-Gil may publish in the future.
Co-authorship network of co-authors of Jorge Martínez-Gil
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Martínez-Gil. A scholar is included among the top collaborators of Jorge Martínez-Gil 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 Jorge Martínez-Gil. Jorge Martínez-Gil 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | MESH participation to TRECVID2008 HLFE | 5 |
About Jorge Martínez-Gil
Jorge Martínez-Gil is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 58 papers that have together received 403 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (18 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Artificial Intelligence (274 citations), Information Systems (121 citations) and Management Science and Operations Research (42 citations). Jorge Martínez-Gil has collaborated with scholars based in Austria, Spain and France. Frequent co-authors include José F. Aldana‐Montes, José M. Chaves-González, Dieter Fensel, David Gabauer, Georg Buchgeher, Georgios C. Chasparis, Ismael Navas‐Delgado, A Min Tjoa, Riad Mokadem and Ismaïl Khalil. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Knowledge and Data Engineering.
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.