María-Esther Vidal
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Molecular Biology
- Co-authors
- Louiqa RaschidSören AuerLaura F. BrightMikhail GalkinZoé LacroixMarkus StockerKuldeep SinghGeorge A. Mihaila
- Topics
- Semantic Web and Ontologies (74 papers)Biomedical Text Mining and Ontologies (30 papers)Advanced Database Systems and Queries (25 papers)
- Cited by
- Artificial IntelligenceInformation Systems and ManagementManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- GermanyVenezuelaUnited States
In The Last Decade
María-Esther Vidal
131 papers receiving 963 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 649
- Information Systems 281
- Computer Networks and Communications 237
- Management Science and Operations Research 194
- Molecular Biology 187
Countries citing papers authored by María-Esther Vidal
This map shows the geographic impact of María-Esther Vidal'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 María-Esther Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María-Esther Vidal more than expected).
Fields of papers citing papers by María-Esther Vidal
This network shows the impact of papers produced by María-Esther Vidal. 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 María-Esther Vidal. The network helps show where María-Esther Vidal may publish in the future.
Co-authorship network of co-authors of María-Esther Vidal
This figure shows the co-authorship network connecting the top 25 collaborators of María-Esther Vidal. A scholar is included among the top collaborators of María-Esther Vidal 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 María-Esther Vidal. María-Esther Vidal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 34 | |
| 15 | 5 | |
| 16 | 25 | |
| 17 | 5 | |
| 18 | Directed hyper-graphs for RDF documents | 2 |
| 19 | Compilation of query-rewriting problems into tractable fragments of propositional logic | 8 |
| 20 | 1 |
About María-Esther Vidal
María-Esther Vidal is a scholar working on Artificial Intelligence, Information Systems and Management and Management Science and Operations Research, having authored 144 papers that have together received 1.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (74 papers), Biomedical Text Mining and Ontologies (30 papers) and Advanced Database Systems and Queries (25 papers). The work is most often cited by research in Artificial Intelligence (649 citations), Information Systems and Management (113 citations) and Management Science and Operations Research (194 citations). María-Esther Vidal has collaborated with scholars based in Germany, Venezuela and United States. Frequent co-authors include Louiqa Raschid, Sören Auer, Laura F. Bright, Mikhail Galkin, Zoé Lacroix, Markus Stocker, Kuldeep Singh, George A. Mihaila, Maribel Acosta and Manuel Prinz. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.