Luis Espinosa-Anke
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Hate Speech and Cyberbullying Detection
- Health Informatics top 10%
Papers in
-
- Topic Modeling 52
- Natural Language Processing Techniques 46
- Sentiment Analysis and Opinion Mining 9
- Advanced Text Analysis Techniques 9
- Text Readability and Simplification 9
- Text and Document Classification Technologies 9
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Steven Schockaert (22 shared papers)Horacio Saggion (18 shared papers)José Camacho-Collados (20 shared papers)Francesco Barbieri (6 shared papers)Daniel Loureiro (4 shared papers)Leonardo Neves (1 shared paper)Francesco Ronzano (7 shared papers)Sergio Oramas (9 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Semantic Web (1 paper)Lecture notes in computer science (9 papers)Data & Knowledge Engineering (1 paper)Applied Sciences (1 paper)
- Partner nations
- United KingdomSpainFrance
In The Last Decade
Luis Espinosa-Anke
72 papers receiving 982 citations
Luis Espinosa-Anke's Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 777
- Health Informatics 18
- Human-Computer Interaction 79
- Music 21
- Signal Processing 64
Countries citing papers authored by Luis Espinosa-Anke
This map shows the geographic impact of Luis Espinosa-Anke'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 Luis Espinosa-Anke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Espinosa-Anke more than expected).
Fields of papers citing papers by Luis Espinosa-Anke
This network shows the impact of papers produced by Luis Espinosa-Anke. 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 Luis Espinosa-Anke. The network helps show where Luis Espinosa-Anke may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Espinosa-Anke, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 136 | |
| 2 | 2018 | 113 | |
| 3 | 2022 | 60 | |
| 4 | RAGAs: Automated Evaluation of Retrieval Augmented Generation Hit paper breakdown → | 2024 | 59 |
| 5 | 2018 | 46 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 34 | |
| 8 | 2018 | 34 | |
| 9 | 2016 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2021 | 29 | |
| 12 | 2016 | 27 | |
| 13 | 2022 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2017 | 21 | |
| 16 | Savana: a global information extraction and terminology expansion framework in the medical domain | 2016 | 18 |
| 17 | 2015 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2016 | 16 |
About Luis Espinosa-Anke
Luis Espinosa-Anke is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Sociology and Political Science and Communication, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (52 papers), Natural Language Processing Techniques (46 papers), Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (9 papers), Text Readability and Simplification (9 papers), Biomedical Text Mining and Ontologies (9 papers), Text and Document Classification Technologies (9 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Artificial Intelligence (777 citations), Health Informatics (18 citations), Human-Computer Interaction (79 citations), Music (21 citations) and Signal Processing (64 citations). Luis Espinosa-Anke has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Steven Schockaert, Horacio Saggion, José Camacho-Collados, Francesco Barbieri, Daniel Loureiro, Leonardo Neves, Francesco Ronzano, Sergio Oramas, Claudio Delli Bovi and Miguel Ballesteros. Their work appears in journals such as Language Resources and Evaluation, Semantic Web, Lecture notes in computer science, Data & Knowledge Engineering and Applied 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.