Víctor Fresno
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 21
- Text and Document Classification Technologies 16
- Topic Modeling 15
- Advanced Text Analysis Techniques 9
- Semantic Web and Ontologies 7
- Information Systems top 5%
- Web Data Mining and Analysis 18
- Communication top 10%
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- Data Quality and Management 8
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- Biomedical Text Mining and Ontologies 6
Víctor Fresno
56 papers receiving 551 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 415
- Information Systems 204
- Statistical and Nonlinear Physics 101
- Communication 47
- Management Science and Operations Research 49
Countries citing papers authored by Víctor Fresno
This map shows the geographic impact of Víctor Fresno'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 Víctor Fresno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Fresno more than expected).
Fields of papers citing papers by Víctor Fresno
This network shows the impact of papers produced by Víctor Fresno. 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 Víctor Fresno. The network helps show where Víctor Fresno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Víctor Fresno, 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 | 2025 | 0 | |
| 2 | ICD-10 Coding based on Semantic Distance: LSI_UNED at CLEF eHealth 2020 Task 1. | 2020 | 4 |
| 3 | 2019 | 12 | |
| 4 | 2018 | 5 | |
| 5 | IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach. | 2018 | 8 |
| 6 | 2018 | 7 | |
| 7 | Using fuzzy logic to leverage HTML markup for web page representation | 2017 | 18 |
| 8 | Tratamiento de Redes Sociales en Desambiguación de Nombres de Persona en la Web | 2016 | 3 |
| 9 | Exploiting Geolocation, User and Temporal Information for Monitoring Natural Hazards on Twitter | 2015 | 2 |
| 10 | Exploiting Geolocation, User and Temporal Information for Natural Hazards Monitoring in Twitter | 2015 | 5 |
| 11 | An Unsupervised Algorithm for Person Name Disambiguation in the Web | 2014 | 5 |
| 12 | TweetNorm_es: an annotated corpus for Spanish microtext normalization | 2014 | 2 |
| 13 | URJC&UNED at ImageCLEF 2013 Photo Annotation Task. | 2013 | 6 |
| 14 | NESM: a named entity based proximity measure for multilingual news clustering | 2012 | 12 |
| 15 | 2011 | 24 | |
| 16 | 2010 | 2 | |
| 17 | Using BM25F and KLD for Pattern Retrieval. | 2010 | 5 |
| 18 | Comparativa de aproximaciones a SVM semisupervisado multiclase para clasificación de páginas Web | 2009 | 0 |
| 19 | Una Representación Basada en Lógica Borrosa para el Clustering de páginas web con Mapas Auto-Organizativos | 2009 | 0 |
| 20 | A Multi Criteria Function to Concept Extraction in HTML Environment. | 2001 | 0 |
About Víctor Fresno
Víctor Fresno is a scholar working on Artificial Intelligence, Information Systems and Health Information Management, having authored 62 papers that have together received 600 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Web Data Mining and Analysis (18 papers), Text and Document Classification Technologies (16 papers), Topic Modeling (15 papers), Advanced Text Analysis Techniques (9 papers), Data Quality and Management (8 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (415 citations), Information Systems (204 citations) and Statistical and Nonlinear Physics (101 citations). Víctor Fresno has collaborated with scholars based in Spain, Myanmar and United Kingdom. Frequent co-authors include Arkaitz Zubiaga, Raquel Martínez, Damiano Spina, Raquel Martínez‐España, Iñaki Alegria, Javier Arroyo, Jane Greenberg, Pablo Gamallo, Arantza Casillas and Aitzol Ezeiza. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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.