Javier D. Fernández
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Molecular Biology
- Co-authors
- Miguel A. Martínez‐PrietoAxel PolleresClaudio GutiérrezMario AriasJürgen UmbrichMaulik R. KamdarXimena WortsmanMark A. Musen
- Topics
- Semantic Web and Ontologies (35 papers)Advanced Database Systems and Queries (18 papers)Data Quality and Management (9 papers)
In The Last Decade
Javier D. Fernández
45 papers receiving 474 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 364
- Computer Networks and Communications 175
- Information Systems 146
- Management Science and Operations Research 92
- Molecular Biology 71
Countries citing papers authored by Javier D. Fernández
This map shows the geographic impact of Javier D. Fernández'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 Javier D. Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier D. Fernández more than expected).
Fields of papers citing papers by Javier D. Fernández
This network shows the impact of papers produced by Javier D. Fernández. 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 Javier D. Fernández. The network helps show where Javier D. Fernández may publish in the future.
Co-authorship network of co-authors of Javier D. Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Javier D. Fernández. A scholar is included among the top collaborators of Javier D. Fernández 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 Javier D. Fernández. Javier D. Fernández 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 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | Diagnóstico de meningitis/encefalitis en UCI con sistema de PCR múltiple: ¿Es tiempo de cambio? | 4 |
| 9 | Data Privacy Vocabularies and Controls: Semantic Web for Transparency and Privacy | 3 |
| 10 | 0 | |
| 11 | Vigilancia epidemiológica para microorganismos multirresistentes en una UCI polivalente | 1 |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 27 | |
| 15 | 28 | |
| 16 | MapReduce-based Solutions for Scalable SPARQL Querying | 4 |
| 17 | Compressed k2-Triples for Full-In-Memory RDF Engines | 6 |
| 18 | 10 | |
| 19 | 0 | |
| 20 | 19 |
About Javier D. Fernández
Javier D. Fernández is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 49 papers that have together received 503 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (35 papers), Advanced Database Systems and Queries (18 papers) and Data Quality and Management (9 papers). The work is most often cited by research in Artificial Intelligence (364 citations), Information Systems and Management (57 citations) and Computer Networks and Communications (175 citations). Javier D. Fernández has collaborated with scholars based in Austria, Spain and Chile. Frequent co-authors include Miguel A. Martínez‐Prieto, Axel Polleres, Claudio Gutiérrez, Mario Arias, Jürgen Umbrich, Maulik R. Kamdar, Ximena Wortsman, Mark A. Musen, Tania Tudorache and Nieves R. Brisaboa. Their work appears in journals such as Information Sciences, Future Generation Computer Systems 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.