Jordi Turmo
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 28
- Topic Modeling 20
- Semantic Web and Ontologies 9
- Speech and dialogue systems 8
- Advanced Text Analysis Techniques 3
- Advanced Clustering Algorithms Research 3
- Information Systems top 5%
- Web Data Mining and Analysis 5
- Data Mining Algorithms and Applications 3
- Signal Processing top 10%
Jordi Turmo
35 papers receiving 380 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 364
- Information Systems 109
- Signal Processing 50
- Computer Vision and Pattern Recognition 48
- Management Science and Operations Research 29
Countries citing papers authored by Jordi Turmo
This map shows the geographic impact of Jordi Turmo'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 Jordi Turmo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Turmo more than expected).
Fields of papers citing papers by Jordi Turmo
This network shows the impact of papers produced by Jordi Turmo. 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 Jordi Turmo. The network helps show where Jordi Turmo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jordi Turmo, 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 | 0 | |
| 2 | TALP at eHealth-KD Challenge 2020. | 2020 | 1 |
| 3 | TweetNorm_es: an annotated corpus for Spanish microtext normalization | 2014 | 2 |
| 4 | UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity? | 2013 | 2 |
| 5 | 2011 | 10 | |
| 6 | Evaluation Protocol and Tools for Question-Answering on Speech Transcripts. | 2010 | 1 |
| 7 | RelaxCor: A Global Relaxation Labeling Approach to Coreference Resolution | 2010 | 12 |
| 8 | A Global Relaxation Labeling Approach to Coreference Resolution | 2010 | 8 |
| 9 | Sistema de recomendación para un uso inclusivo del lenguaje | 2009 | 1 |
| 10 | Non-Parametric document Clustering by ensemble methods | 2008 | 2 |
| 11 | Question Answering on Speech Transcriptions: the QAST evaluation in CLEF | 2008 | 8 |
| 12 | TALP at TAC 2008: A Semantic Approach to Recognizing Textual Entailment | 2008 | 1 |
| 13 | Alias Assignment in Information Extraction | 2007 | 2 |
| 14 | 2006 | 112 | |
| 15 | TALP-UPC at TREC 2005: Experiments Using a Voting Scheme Among Three Heterogeneous QA Systems | 2005 | 1 |
| 16 | Automatic Acquisition of Sense Examples Using ExRetriever | 2004 | 12 |
| 17 | TALP-QA System for Spanish at CLEF-2004. | 2004 | 1 |
| 18 | TALP-QA System at TREC 2004: Structural and Hierarchical Relaxation Over Semantic Constraints. | 2004 | 9 |
| 19 | Automatic Building Gazetteers of Co-referring Named Entities. | 2004 | 2 |
| 20 | Morphosyntactic analysis and parsing of unrestricted Spanish text. | 1998 | 11 |
About Jordi Turmo
Jordi Turmo is a scholar working on Artificial Intelligence, Information Systems and Health Information Management, having authored 40 papers that have together received 439 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Topic Modeling (20 papers), Semantic Web and Ontologies (9 papers), Speech and dialogue systems (8 papers), Web Data Mining and Analysis (5 papers), Advanced Text Analysis Techniques (3 papers), Data Mining Algorithms and Applications (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (364 citations), Information Systems (109 citations) and Signal Processing (50 citations). Jordi Turmo has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Alicia Ageno, Mihai Surdeanu, Lluís Padró, Lluı́s Màrquez, Djamel Mostefa, Horacio Rodríguez, Keni Bernardin, Ambrish Tyagi, Khalid Choukri and Stephen M. Chu. Their work appears in journals such as ACM Computing Surveys, Machine Learning and Computational Linguistics.
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.