Fernando Aparicio

523 total citations
33 papers, 319 citations indexed

About

Fernando Aparicio is a scholar working on Ecology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fernando Aparicio has authored 33 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 8 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Fernando Aparicio's work include Marine animal studies overview (8 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Fernando Aparicio is often cited by papers focused on Marine animal studies overview (8 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Fernando Aparicio collaborates with scholars based in Spain, United States and Portugal. Fernando Aparicio's co-authors include Manuel de Buenaga Rodríguez, Diego Gachet Páez, Luis Mariano González, M. Gažo, Margarita Rubio Alonso, Asunción Hernando, Daniel Glez‐Peña, Manuel Jesús Maña López, Hugo López-Fernández and Álex Aguilar and has published in prestigious journals such as Computers & Education, Sensors and Biological Journal of the Linnean Society.

In The Last Decade

Fernando Aparicio

30 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Aparicio Spain 13 127 62 53 48 42 33 319
Karen Bradshaw South Africa 9 39 0.3× 35 0.6× 25 0.5× 8 0.2× 15 0.4× 51 343
Andrea K. Thomer United States 11 51 0.4× 44 0.7× 35 0.7× 26 0.5× 5 0.1× 58 357
David Smith Australia 5 34 0.3× 36 0.6× 40 0.8× 16 0.3× 17 0.4× 8 323
Janis E. Johnston United States 14 45 0.4× 43 0.7× 33 0.6× 17 0.4× 15 0.4× 46 412
Elizabeth H. Schultheis United States 9 48 0.4× 17 0.3× 37 0.7× 81 1.7× 5 0.1× 16 309
Daniel Olson United States 11 243 1.9× 90 1.5× 16 0.3× 149 3.1× 6 0.1× 22 561
Ilkka Kivimäki Belgium 10 156 1.2× 52 0.8× 32 0.6× 18 0.4× 16 0.4× 17 336
Greg Riccardi United States 7 80 0.6× 27 0.4× 37 0.7× 41 0.9× 20 0.5× 12 295
M. Irmak Sirer United States 5 45 0.4× 43 0.7× 40 0.8× 58 1.2× 26 0.6× 5 377
Daria Sorokina United States 6 73 0.6× 99 1.6× 21 0.4× 37 0.8× 9 0.2× 8 270

Countries citing papers authored by Fernando Aparicio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fernando Aparicio

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Aparicio. A scholar is included among the top collaborators of Fernando Aparicio 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 Fernando Aparicio. Fernando Aparicio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pires, Robinson Esteves Santos, et al.. (2023). First demographic parameter estimates for the Mediterranean monk seal population at Madeira, Portugal. Endangered Species Research. 51. 269–283. 3 indexed citations
2.
Pires, Rosa, et al.. (2022). The First Two Detected Cases of Polythelia with Possible Polymastia in the Mediterranean Monk Seal (Monachus monachus). Aquatic Mammals. 48(6). 580–583. 1 indexed citations
3.
Baker, J.Dennis, et al.. (2021). Age-specific survival and reproductive rates of Mediterranean monk seals at the Cabo Blanco Peninsula, West Africa. Endangered Species Research. 45. 315–329. 6 indexed citations
4.
Aparicio, Fernando, Margarita Rubio Alonso, Asunción Hernando, et al.. (2017). Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects. International Journal of Medical Informatics. 112. 21–33. 23 indexed citations
5.
Ferreira, Catarina, Francisca Castro, Isabel C. Barrio, et al.. (2015). Biometrical analysis reveals major differences between the two subspecies of the European rabbit. Biological Journal of the Linnean Society. 116(1). 106–116. 16 indexed citations
6.
Páez, Diego Gachet, et al.. (2014). Chronic Patients Monitoring Using Wireless Sensors and Big Data Processing. ABACUS. Repositorio de Producción Científica (Universidad Europea). 404–408. 2 indexed citations
7.
Aparicio, Fernando, et al.. (2013). Cross-lingual intelligent information access system from clinical cases using mobile devices. Procesamiento del lenguaje natural. 50. 85–92. 1 indexed citations
8.
Aparicio, Fernando, et al.. (2013). UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2. 622–627. 14 indexed citations
9.
López-Fernández, Hugo, Miguel Reboiro‐Jato, Daniel Glez‐Peña, et al.. (2013). BioAnnote: A software platform for annotating biomedical documents with application in medical learning environments. Computer Methods and Programs in Biomedicine. 111(1). 139–147. 21 indexed citations
10.
Páez, Diego Gachet, et al.. (2012). Integrating Internet of Things and Cloud Computing for Health Services Provisioning: The Virtual Cloud Carer Project. ABACUS. Repositorio de Producción Científica (Universidad Europea). 918–921. 31 indexed citations
11.
Aparicio, Fernando, et al.. (2012). Sistema de acceso a la información basado en conceptos utilizando Freebase en español-inglés sobre el dominio médico y turístico. Procesamiento del lenguaje natural. 49(49). 29–38.
12.
Aparicio, Fernando, et al.. (2011). MDFaces: An intelligent system to recognize significant terms in texts from different domains using Freebase. Procesamiento del lenguaje natural. 47(47). 317–318.
13.
López, Manuel Jesús Maña, Jacinto Mata Vázquez, Fernando Aparicio, et al.. (2011). Medical-miner at TREC 2011 medical records track. ABACUS. Repositorio de Producción Científica (Universidad Europea). 3 indexed citations
14.
Aparicio, Fernando, et al.. (2011). TMT: A tool to guide users in finding information on clinical texts. Procesamiento del lenguaje natural. 46(46). 27–34. 4 indexed citations
15.
Aparicio, Fernando, Manuel de Buenaga Rodríguez, Margarita Rubio Alonso, et al.. (2011). TMT: a scalable platform to enrich translational medicine environments. 2 indexed citations
16.
Aparicio, Fernando, et al.. (2010). El cine Trocadero, un testigo de la Guerra Fría. Dialnet (Universidad de la Rioja). 1(1). 27–48. 1 indexed citations
18.
Gažo, M., et al.. (2000). PUP SURVIVAL IN THE MEDITERRANEAN MONK SEAL (MONACHUS MONACHUS) COLONY AT CABO BLANCO PENINSULA (WESTERN SAHARA‐MAURITANIA). Marine Mammal Science. 16(1). 158–168. 26 indexed citations
19.
Aparicio, Fernando, et al.. (1999). OBSERVATIONS OF PARTURITION IN THE MEDITERRANEAN MONK SEAL (MONACHUS MONACHUS). Marine Mammal Science. 15(3). 879–882. 9 indexed citations
20.
Gažo, M., et al.. (1999). Pupping season, perinatal sex ratio and natality rates of the Mediterranean monk seal (Monachus monachus) from the Cabo Blanco colony. Journal of Zoology. 249(4). 393–401. 25 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026