Rafael Muñoz
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 51
- Topic Modeling 47
- Semantic Web and Ontologies 26
- Advanced Text Analysis Techniques 17
- Speech and dialogue systems 13
- Sentiment Analysis and Opinion Mining 10
- Text Readability and Simplification 8
- Communication top 10%
- Information Systems top 5%
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- Biomedical Text Mining and Ontologies 7
Rafael Muñoz
81 papers receiving 688 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 729
- Communication 51
- Information Systems 149
- Health Informatics 7
- Computer Science Applications 22
Countries citing papers authored by Rafael Muñoz
This map shows the geographic impact of Rafael Muñoz'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 Rafael Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Muñoz more than expected).
Fields of papers citing papers by Rafael Muñoz
This network shows the impact of papers produced by Rafael Muñoz. 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 Rafael Muñoz. The network helps show where Rafael Muñoz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael Muñoz, 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 | 1 | |
| 2 | 2021 | 3 | |
| 3 | Mixed Style Feature Representation and B-maximal Clustering for Style Change Detection. | 2020 | 2 |
| 4 | 2019 | 7 | |
| 5 | UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts | 2013 | 3 |
| 6 | RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora | 2013 | 3 |
| 7 | Investigating Advanced Techniques for Document Content Similarity Applied to External Plagiarism Analysis | 2011 | 0 |
| 8 | Alicante University at TAC 2009: Experiments in RTE | 2009 | 5 |
| 9 | Different Multimodal Approaches using IR-n in ImageCLEFphoto 2008. | 2008 | 3 |
| 10 | Text-mess in the ImageCLEFphoto08 Task | 2008 | 0 |
| 11 | A Multimodal Approach to the Medical Retrieval Task using IR-n. | 2008 | 0 |
| 12 | The Contribution of the University of Alicante to AVE 2007. | 2007 | 2 |
| 13 | Information Retrieval of Visual Descriptions with IR-n System based on Passages. | 2007 | 3 |
| 14 | Técnicas léxico-sintácticas para el reconocimiento de implicación textual | 2007 | 0 |
| 15 | Geographic IR Helped by Structured Geospatial Knowledge Resources. | 2006 | 2 |
| 16 | Natural language processing and information systems : 10th International conference on Applications of Natural Language to Informations Systems, NLDB 2005, Alicante, Spain, June 15-17, 2005 : proceedings | 2005 | 1 |
| 17 | Tratamiento y resolución de las descripciones definidas y su aplicación en sistemas de extracción de información | 2002 | 1 |
| 18 | Propuesta de un espacio de accesibilidad anafórica estructural para textos HTML | 2001 | 0 |
| 19 | Método para la resolución de correferencias de sintagmas nominales definidos incluyendo alias y acrónimos en el sistema de extracción de información EXIT. | 1999 | 1 |
| 20 | Reconocimiento de entidades en el sistema EXIT | 1998 | 1 |
About Rafael Muñoz
Rafael Muñoz is a scholar working on Artificial Intelligence, Life-span and Life-course Studies, Information Systems, General Social Sciences and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 809 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (51 papers), Topic Modeling (47 papers), Semantic Web and Ontologies (26 papers), Advanced Text Analysis Techniques (17 papers), Speech and dialogue systems (13 papers), Sentiment Analysis and Opinion Mining (10 papers), Text Readability and Simplification (8 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (729 citations), Communication (51 citations), Information Systems (149 citations), Health Informatics (7 citations) and Computer Science Applications (22 citations). Rafael Muñoz has collaborated with scholars based in Spain, Cuba and Italy. Frequent co-authors include Antonio Toral, Patricio Martínez-Barco, Óscar Ferrández, Manuel Palomar, Estela Saquete, Andrés Montoyo, Yoan Gutiérrez, Elena Lloret, José Luis Vicedo González and Magdalena Wolska. Their work appears in journals such as Data & Knowledge Engineering, Language Resources and Evaluation, Theory and applications of categories, Information Sciences and Journal of Biomedical Informatics.
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.