Fernando Gómez
- Parasitology top 5%
- Biological Psychiatry top 10%
- Immunology top 10%
- Immunology and Allergy top 10%
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 24
- Topic Modeling 21
- Semantic Web and Ontologies 20
- AI-based Problem Solving and Planning 10
- Speech and dialogue systems 7
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- Cervical Cancer and HPV Research 5
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- Parasite Biology and Host Interactions 5
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- Liver Disease and Transplantation 4
Fernando Gómez
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 154
- Parasitology 162
- Biological Psychiatry 49
- Immunology 357
- Immunology and Allergy 86
- Artificial Intelligence 380
Countries citing papers authored by Fernando Gómez
This map shows the geographic impact of Fernando Gómez'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 Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gómez more than expected).
Fields of papers citing papers by Fernando Gómez
This network shows the impact of papers produced by Fernando Gómez. 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 Gómez. The network helps show where Fernando Gómez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Gómez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2018 | 13 | |
| 3 | A New Set of Norms for Semantic Relatedness Measures | 2013 | 22 |
| 4 | 2013 | 5 | |
| 5 | 2013 | 9 | |
| 6 | Improving Supervised Sense Disambiguation with Web-Scale Selectors | 2012 | 1 |
| 7 | Evaluating a Semantic Network Automatically Constructed from Lexical Co-occurrence on a Word Sense Disambiguation Task | 2011 | 0 |
| 8 | UCF-WS: Domain Word Sense Disambiguation Using Web Selectors | 2010 | 1 |
| 9 | 2009 | 310 | |
| 10 | A Semantic Feature for Verbal Predicate and Semantic Role Labeling using SVMs | 2008 | 2 |
| 11 | 2008 | 13 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 5 | |
| 14 | Valoración global del control de síntomas al final de la vida | 2004 | 2 |
| 15 | Good Places and Non-Places in Colonial México: The Figure of Vasco de Quiroga | 2001 | 5 |
| 16 | Linking WordNet Verb Classes to Semantic Interpretation. | 1998 | 8 |
| 17 | Simultaneous detection of antigens and specific DNA sequences of human papillomavirus in uterine cervical biopsy specimens. Description of a double-labelling technique. | 1997 | 1 |
| 18 | Semantic interpretation of nominalizations | 1996 | 18 |
| 19 | Knowledge organization and distribution for medical diagnosis | 1987 | 24 |
| 20 | An approach to medical diagnosis based on conceptual structures | 1979 | 45 |
About Fernando Gómez
Fernando Gómez is a scholar working on Artificial Intelligence, Immunology and Allergy and Infectious Diseases, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers), Semantic Web and Ontologies (20 papers), AI-based Problem Solving and Planning (10 papers), Speech and dialogue systems (7 papers), Cervical Cancer and HPV Research (5 papers), Parasite Biology and Host Interactions (5 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Parasitology (162 citations), Biological Psychiatry (49 citations) and Immunology (357 citations). Fernando Gómez has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include María Teresa Corcuera, Ángeles Domínguez‐Soto, Ángel L. Corbí, Paloma Sánchez‐Mateos, Elena Sierra‐Filardi, Amaya Puig‐Kröger, Bharath Chandrasekaran, Rafael Samaniego, Manohar Ratnam and María Luisa Caballero.
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.