André Lamúrias
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
-
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
Papers in
-
- Biomedical Text Mining and Ontologies 19
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 4
-
- Topic Modeling 18
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 6
- Semantic Web and Ontologies 5
- Co-authors
- Francisco M. Couto (24 shared papers)Luka A. Clarke (5 shared papers)Mads Albertsen (2 shared papers)Mantas Sereika (1 shared paper)Katja Hose (2 shared papers)Thomas D. Nielsen (2 shared papers)Reza M. Salek (1 shared paper)M. Barros (2 shared papers)
In The Last Decade
André Lamúrias
25 papers receiving 234 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 164
- Molecular Biology 179
- Computational Theory and Mathematics 16
- Information Systems 19
- Health Informatics 1
Countries citing papers authored by André Lamúrias
This map shows the geographic impact of André Lamúrias'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 André Lamúrias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Lamúrias more than expected).
Fields of papers citing papers by André Lamúrias
This network shows the impact of papers produced by André Lamúrias. 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 André Lamúrias. The network helps show where André Lamúrias may publish in the future.
Co-authors
The 11 scholars most cited alongside André Lamúrias, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2017 | 30 | |
| 3 | 2022 | 28 | |
| 4 | 2015 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2014 | 4 | |
| 17 | LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE. | 2020 | 3 |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2017 | 2 |
About André Lamúrias
André Lamúrias is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Genetics, having authored 28 papers that have together received 251 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (18 papers), Natural Language Processing Techniques (8 papers), Advanced Text Analysis Techniques (6 papers), Machine Learning in Bioinformatics (5 papers), Semantic Web and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Molecular Biology (179 citations), Computational Theory and Mathematics (16 citations), Information Systems (19 citations) and Health Informatics (1 citation). André Lamúrias has collaborated with scholars based in Portugal, Denmark and France. Frequent co-authors include Francisco M. Couto, Luka A. Clarke, Mads Albertsen, Mantas Sereika, Katja Hose, Thomas D. Nielsen, Reza M. Salek, M. Barros, Vanessa Neveu and Alessandro Tibo. Their work appears in journals such as BMC Bioinformatics, Journal of Cheminformatics, Bioinformatics, Frontiers in Immunology and IEEE Access.
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.