Fernando Aparicio
Impact in
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- Artificial Intelligence in Healthcare
Papers in
- Ecology 11
- Marine animal studies overview 8
- Wildlife Ecology and Conservation 3
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- Semantic Web and Ontologies 8
- Co-authors
- Manuel de Buenaga Rodríguez (16 shared papers)Luis Mariano González (5 shared papers)M. Gažo (3 shared papers)Asunción Hernando (3 shared papers)Florentino Fdez‐Riverola (3 shared papers)Margarita Rubio Alonso (3 shared papers)Hugo López-Fernández (2 shared papers)Daniel Glez‐Peña (3 shared papers)
- Journals
- Marine Mammal Science (3 papers)Journal of Zoology (2 papers)Endangered Species Research (2 papers)Biological Journal of the Linnean Society (1 paper)Global Ecology and Conservation (1 paper)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Fernando Aparicio
35 papers receiving 369 citations
Peers
Comparison fields: 5 of 85
- Health Information Management 33
- Health Informatics 9
- Ecology 141
- Nature and Landscape Conservation 51
- Computer Science Applications 23
Countries citing papers authored by Fernando Aparicio
This map shows the geographic impact of Fernando Aparicio'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 Fernando Aparicio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Aparicio more than expected).
Fields of papers citing papers by Fernando Aparicio
This network shows the impact of papers produced by Fernando Aparicio. 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 Fernando Aparicio. The network helps show where Fernando Aparicio may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Aparicio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 37 | |
| 2 | 2000 | 29 | |
| 3 | 1999 | 28 | |
| 4 | 2014 | 28 | |
| 5 | 1998 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2013 | 25 | |
| 8 | 2021 | 22 | |
| 9 | UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts. | 2013 | 20 |
| 10 | 2012 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 16 | |
| 14 | 2002 | 14 | |
| 15 | 2012 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 1999 | 11 | |
| 18 | 2021 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2012 | 6 |
About Fernando Aparicio
Fernando Aparicio is a scholar working on Ecology, Artificial Intelligence, Health Information Management, Computer Networks and Communications and Molecular Biology, having authored 39 papers that have together received 423 indexed citations. Recurring topics across this work include Marine animal studies overview (8 papers), Semantic Web and Ontologies (8 papers), IoT and Edge/Fog Computing (6 papers), Biomedical Text Mining and Ontologies (6 papers), Artificial Intelligence in Healthcare (5 papers), Context-Aware Activity Recognition Systems (4 papers), Wildlife Ecology and Conservation (3 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Health Information Management (33 citations), Health Informatics (9 citations), Ecology (141 citations), Nature and Landscape Conservation (51 citations) and Computer Science Applications (23 citations). Fernando Aparicio has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Manuel de Buenaga Rodríguez, Luis Mariano González, M. Gažo, Asunción Hernando, Florentino Fdez‐Riverola, Margarita Rubio Alonso, Hugo López-Fernández, Daniel Glez‐Peña, Álex Aguilar and Miguel Reboiro‐Jato. Their work appears in journals such as Marine Mammal Science, Journal of Zoology, Endangered Species Research, Biological Journal of the Linnean Society and Global Ecology and Conservation.
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.