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
- Text and Document Classification Technologies
- Health Informatics top 10%
Papers in
-
- Topic Modeling 44
- Natural Language Processing Techniques 42
- Sentiment Analysis and Opinion Mining 10
- Text Readability and Simplification 9
- Text and Document Classification Technologies 8
- Semantic Web and Ontologies 7
-
- Biomedical Text Mining and Ontologies 9
- Co-authors
- Steven Schockaert (22 shared papers)José Camacho-Collados (18 shared papers)Horacio Saggion (15 shared papers)Francesco Barbieri (6 shared papers)Daniel Loureiro (2 shared papers)Francesco Ronzano (6 shared papers)Leonardo Neves (1 shared paper)Claudio Delli Bovi (4 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Applied Sciences (1 paper)Data & Knowledge Engineering (1 paper)Semantic Web (1 paper)Procesamiento del lenguaje natural (2 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Luis Espinosa-Anke
60 papers receiving 801 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 663
- Health Informatics 21
- Human-Computer Interaction 68
- Communication 32
- Music 14
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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2018 | 97 | |
| 3 | 2022 | 47 | |
| 4 | 2018 | 42 | |
| 5 | 2024 | 42 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2022 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2020 | 19 | |
| 16 | Savana: a global information extraction and terminology expansion framework in the medical domain | 2016 | 18 |
| 17 | 2015 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2023 | 14 | |
| 20 | ELMD: an automatically generated entity linking gold standard dataset in the music domain | 2016 | 13 |
About Luis Espinosa-Anke
Luis Espinosa-Anke is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Communication and Sociology and Political Science, having authored 66 papers that have together received 867 indexed citations. Recurring topics across this work include Topic Modeling (44 papers), Natural Language Processing Techniques (42 papers), Sentiment Analysis and Opinion Mining (10 papers), Biomedical Text Mining and Ontologies (9 papers), Text Readability and Simplification (9 papers), Text and Document Classification Technologies (8 papers), Semantic Web and Ontologies (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Artificial Intelligence (663 citations), Health Informatics (21 citations), Human-Computer Interaction (68 citations), Communication (32 citations) and Music (14 citations). Luis Espinosa-Anke has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Steven Schockaert, José Camacho-Collados, Horacio Saggion, Francesco Barbieri, Daniel Loureiro, Francesco Ronzano, Leonardo Neves, Claudio Delli Bovi, Sergio Oramas and Miguel Ballesteros. Their work appears in journals such as Language Resources and Evaluation, Applied Sciences, Data & Knowledge Engineering, Semantic Web and Procesamiento del lenguaje natural.
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.