Ferran Plà
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Semantic Web and Ontologies
- Information Systems top 10%
Papers in
-
- Topic Modeling 31
- Natural Language Processing Techniques 27
- Sentiment Analysis and Opinion Mining 17
- Advanced Text Analysis Techniques 7
- Semantic Web and Ontologies 6
- Speech and dialogue systems 6
- Text and Document Classification Technologies 4
- Co-authors
- Antonio de Molina Iracheta (13 shared papers)Lluís-F. Hurtado (18 shared papers)Paolo Rosso (7 shared papers)Encarna Segarra (8 shared papers)Natalia Ponomareva (2 shared papers)Antonio Molina‐Díaz (5 shared papers)Davide Buscaldi (3 shared papers)Francesco Masulli (1 shared paper)
In The Last Decade
Ferran Plà
46 papers receiving 471 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 466
- Information Systems 57
- Communication 14
- Computer Science Applications 10
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Ferran Plà
This map shows the geographic impact of Ferran Plà'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 Ferran Plà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferran Plà more than expected).
Fields of papers citing papers by Ferran Plà
This network shows the impact of papers produced by Ferran Plà. 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 Ferran Plà. The network helps show where Ferran Plà may publish in the future.
Co-authors
The 15 scholars most cited alongside Ferran Plà, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Shallow parsing using specialized hmms | 2002 | 65 |
| 2 | 2020 | 58 | |
| 3 | 2020 | 38 | |
| 4 | 2017 | 29 | |
| 5 | 2007 | 23 | |
| 6 | 2004 | 22 | |
| 7 | Conditional Random Fields vs. Hidden Markov Models in a biomedical Named Entity Recognition task | 2008 | 21 |
| 8 | 2013 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2003 | 19 | |
| 11 | 2000 | 17 | |
| 12 | 2016 | 14 | |
| 13 | 2001 | 13 | |
| 14 | 2002 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2001 | 10 | |
| 18 | ELiRF-UPV en TASS 2015: Análisis de Sentimientos en Twitter. | 2015 | 9 |
| 19 | 2000 | 9 | |
| 20 | ELiRF-UPV at IroSvA: Transformer Encoders for Spanish Irony Detection. | 2019 | 8 |
About Ferran Plà
Ferran Plà is a scholar working on Artificial Intelligence, Communication, Language and Linguistics, Linguistics and Language and Information Systems, having authored 48 papers that have together received 534 indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Natural Language Processing Techniques (27 papers), Sentiment Analysis and Opinion Mining (17 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (6 papers), Speech and dialogue systems (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (466 citations), Information Systems (57 citations), Communication (14 citations), Computer Science Applications (10 citations) and Computer Vision and Pattern Recognition (28 citations). Ferran Plà has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Antonio de Molina Iracheta, Lluís-F. Hurtado, Paolo Rosso, Encarna Segarra, Natalia Ponomareva, Antonio Molina‐Díaz, Davide Buscaldi, Francesco Masulli, Ernesto Julià Sanchís and María José Castro-Bleda. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Neural Processing Letters, Journal of Machine Learning Research, Knowledge-Based Systems and Lecture notes in computer science.
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.