Franco M. Luque
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Algorithms and Data Compression
Papers in
-
- Natural Language Processing Techniques 8
- Topic Modeling 7
- Machine Learning and Algorithms 5
- Algorithms and Data Compression 4
- Hate Speech and Cyberbullying Detection 3
- Sentiment Analysis and Opinion Mining 2
-
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Juan Manuel Pérez (4 shared papers)Ariadna Quattoni (3 shared papers)Xavier Carreras (3 shared papers)Borja Balle (2 shared papers)Agustı́n Gravano (1 shared paper)Laura Alonso Alemany (3 shared papers)Gabriella Pasi (2 shared papers)Roland Roller (3 shared papers)
- Journals
- IEEE Access (1 paper)Machine Learning (1 paper)Lecture notes in computer science (5 papers)RECERCAT (Consorci de Serveis Universitaris de Catalunya) (2 papers)CLEF (Working Notes) (1 paper)
In The Last Decade
Franco M. Luque
15 papers receiving 154 citations
Peers
Comparison fields: 5 of 31
- Computational Mathematics 4
- Artificial Intelligence 145
- Computational Theory and Mathematics 26
- Communication 11
- Signal Processing 12
Countries citing papers authored by Franco M. Luque
This map shows the geographic impact of Franco M. Luque'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 Franco M. Luque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franco M. Luque more than expected).
Fields of papers citing papers by Franco M. Luque
This network shows the impact of papers produced by Franco M. Luque. 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 Franco M. Luque. The network helps show where Franco M. Luque may publish in the future.
Co-authors
The 15 scholars most cited alongside Franco M. Luque, 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 | 2023 | 30 | |
| 2 | 2013 | 29 | |
| 3 | 2019 | 22 | |
| 4 | Spectral Learning for Non-Deterministic Dependency Parsing | 2012 | 21 |
| 5 | 2013 | 8 | |
| 6 | 2021 | 8 | |
| 7 | A study of Hate Speech in Social Media during the COVID-19 outbreak | 2020 | 8 |
| 8 | Atalaya at TASS 2018: Sentiment Analysis with Tweet Embeddings and Data Augmentation. | 2018 | 8 |
| 9 | 2010 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 6 | |
| 12 | Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports. | 2021 | 4 |
| 13 | 2010 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2009 | 1 | |
| 16 | Window Classifiers and Conditional Random Fields for Medical Report De-Identification. | 2019 | 0 |
About Franco M. Luque
Franco M. Luque is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 165 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Machine Learning and Algorithms (5 papers), Algorithms and Data Compression (4 papers), Biomedical Text Mining and Ontologies (3 papers), Hate Speech and Cyberbullying Detection (3 papers), semigroups and automata theory (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Artificial Intelligence (145 citations), Computational Theory and Mathematics (26 citations), Communication (11 citations) and Signal Processing (12 citations). Franco M. Luque has collaborated with scholars based in Argentina, Spain and Australia. Frequent co-authors include Juan Manuel Pérez, Ariadna Quattoni, Xavier Carreras, Borja Balle, Agustı́n Gravano, Laura Alonso Alemany, Gabriella Pasi, Roland Roller, Hanna Suominen and Marco Viviani. Their work appears in journals such as IEEE Access, Machine Learning, Lecture notes in computer science, RECERCAT (Consorci de Serveis Universitaris de Catalunya) and CLEF (Working Notes).
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.