Jorge Morato
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Computer Science Applications top 10%
Papers in
-
- Semantic Web and Ontologies 12
- Natural Language Processing Techniques 11
- Text Readability and Simplification 8
- Topic Modeling 7
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- Web Data Mining and Analysis 10
- Co-authors
- Sonia Sánchez-Cuadrado (32 shared papers)Mónica Marrero (9 shared papers)Julián Urbano (9 shared papers)Juan Miguel Gómez-Berbís (1 shared paper)Divakar Yadav (11 shared papers)Juan Lloréns (10 shared papers)Diego R. Martín (4 shared papers)Anabel Fraga (4 shared papers)
In The Last Decade
Jorge Morato
51 papers receiving 487 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 335
- Computer Science Applications 35
- Information Systems 123
- Signal Processing 55
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Jorge Morato
This map shows the geographic impact of Jorge Morato'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 Jorge Morato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Morato more than expected).
Fields of papers citing papers by Jorge Morato
This network shows the impact of papers produced by Jorge Morato. 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 Jorge Morato. The network helps show where Jorge Morato may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge Morato, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2011 | 42 | |
| 3 | Crowdsourcing Preference Judgments for Evaluation of Music Similarity Tasks | 2010 | 34 |
| 4 | Evaluation of Named Entity Extraction Systems | 2009 | 31 |
| 5 | 2024 | 29 | |
| 6 | 2013 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2009 | 17 | |
| 11 | 2024 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2007 | 9 | |
| 14 | 2013 | 8 | |
| 15 | A Study of Labour Market Information Needs through Employers' Seeking Behaviour | 2010 | 7 |
| 16 | 2002 | 7 | |
| 17 | Using the Shape of Music to Compute the Similarity between Symbolic Musical Pieces | 2010 | 6 |
| 18 | 2016 | 6 | |
| 19 | 2009 | 5 | |
| 20 | 2021 | 5 |
About Jorge Morato
Jorge Morato is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Human Factors and Ergonomics and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 542 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Natural Language Processing Techniques (11 papers), Web Data Mining and Analysis (10 papers), Text Readability and Simplification (8 papers), Topic Modeling (7 papers), Digital Accessibility for Disabilities (5 papers), E-Learning and Knowledge Management (5 papers) and Music Technology and Sound Studies (4 papers). The work is most often cited by research in Artificial Intelligence (335 citations), Computer Science Applications (35 citations), Information Systems (123 citations), Signal Processing (55 citations) and Computer Vision and Pattern Recognition (81 citations). Jorge Morato has collaborated with scholars based in Spain, India and Brazil. Frequent co-authors include Sonia Sánchez-Cuadrado, Mónica Marrero, Julián Urbano, Juan Miguel Gómez-Berbís, Divakar Yadav, Juan Lloréns, Diego R. Martín, Anabel Fraga, José Antônio Moreiro González and Ana Iglesias. Their work appears in journals such as El Profesional de la Informacion, Applied Sciences, IEEE Access, Sustainability and Computer Standards & Interfaces.
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.