Paulo Quaresma
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 43
- Semantic Web and Ontologies 38
- Topic Modeling 33
- Multi-Agent Systems and Negotiation 22
- Logic, Reasoning, and Knowledge 12
- Advanced Text Analysis Techniques 12
- Building and Construction top 10%
- Information Systems top 10%
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- Artificial Intelligence in Law 8
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- Biomedical Text Mining and Ontologies 7
- Co-authors
- José SaiasTeresa GonçalvesRenata VieiraNibaran DasSwarnendu GhoshCássia Trojahn dos SantosMahantapas KunduJosé Palazzo Moreira de Oliveira
- Journals
- SHILAP Revista de lepidopterología (3 papers)Frontiers in Immunology (1 paper)Sustainability (2 papers)
In The Last Decade
Paulo Quaresma
89 papers receiving 553 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 401
- Safety, Risk, Reliability and Quality 69
- Building and Construction 73
- Information Systems 100
- Political Science and International Relations 64
Countries citing papers authored by Paulo Quaresma
This map shows the geographic impact of Paulo Quaresma'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 Paulo Quaresma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Quaresma more than expected).
Fields of papers citing papers by Paulo Quaresma
This network shows the impact of papers produced by Paulo Quaresma. 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 Paulo Quaresma. The network helps show where Paulo Quaresma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paulo Quaresma, 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 | 2026 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 63 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 50 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 29 | |
| 16 | UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation | 2014 | 53 |
| 17 | A Framework for Multilingual Ontology Mapping | 2008 | 24 |
| 18 | An internet application to manage an OWL ontology for medical computational problem solving | 2005 | 0 |
| 19 | Proceedings of the 10th international conference on Computational Processing of the Portuguese Language | 2003 | 6 |
| 20 | Automatic Classification and Intelligent Clustering for WWWeb Information Retrieval Systems | 2000 | 2 |
About Paulo Quaresma
Paulo Quaresma is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics, having authored 108 papers that have together received 621 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Semantic Web and Ontologies (38 papers), Topic Modeling (33 papers), Multi-Agent Systems and Negotiation (22 papers), Logic, Reasoning, and Knowledge (12 papers), Advanced Text Analysis Techniques (12 papers), Artificial Intelligence in Law (8 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (401 citations), Safety, Risk, Reliability and Quality (69 citations) and Building and Construction (73 citations). Paulo Quaresma has collaborated with scholars based in Portugal, Brazil and India. Frequent co-authors include José Saias, Teresa Gonçalves, Renata Vieira, Nibaran Das, Swarnendu Ghosh, Cássia Trojahn dos Santos, Mahantapas Kundu, José Palazzo Moreira de Oliveira, Derek F. Wong and Lidia S. Chao. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Sustainability.
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.