Sérgio Matos
- Pharmacy top 2%
-
- Respiratory and Cough-Related Research 17
- Physiology top 5%
- Asthma and respiratory diseases 9
- Emergency Medical Services top 2%
- Gastroenterology top 5%
-
- Biomedical Text Mining and Ontologies 32
- Bioinformatics and Genomic Networks 6
-
- Topic Modeling 16
- Semantic Web and Ontologies 11
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 8
- Co-authors
- Surinder S. BirringIan PavordDavid H. EvansJosé Luís OliveiraDavid CamposThomas R. FlemingA A RajJosé Sántos
- Journals
- Thorax (8 papers)Database (6 papers)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (4 papers)
- Partner nations
- PortugalUnited KingdomSpain
In The Last Decade
Sérgio Matos
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Pharmacy 136
- Pulmonary and Respiratory Medicine 765
- Physiology 581
- Emergency Medical Services 154
- Gastroenterology 93
Countries citing papers authored by Sérgio Matos
This map shows the geographic impact of Sérgio Matos'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 Sérgio Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sérgio Matos more than expected).
Fields of papers citing papers by Sérgio Matos
This network shows the impact of papers produced by Sérgio Matos. 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 Sérgio Matos. The network helps show where Sérgio Matos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sérgio Matos, 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 | 2023 | 3 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 3 | |
| 10 | BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval. | 2020 | 2 |
| 11 | 2020 | 7 | |
| 12 | 2016 | 8 | |
| 13 | 2015 | 14 | |
| 14 | Predicting Flu Incidence from Portuguese Tweets | 2013 | 8 |
| 15 | 2013 | 64 | |
| 16 | 2012 | 19 | |
| 17 | FACTORS AFFECTING COUGH FREQUENCY IN A MIXED POPULATION | 2009 | 3 |
| 18 | THE ASSESSMENT OF COUGH SEVERITY WITH A NOVEL COUGH MONITOR | 2008 | 2 |
| 19 | 2005 | 128 | |
| 20 | DP FPSO - A Fully Dynamically Positioned FPSO for Ultra Deep Waters | 2003 | 5 |
About Sérgio Matos
Sérgio Matos is a scholar working on Health Informatics, Artificial Intelligence and Health Information Management, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Respiratory and Cough-Related Research (17 papers), Topic Modeling (16 papers), Semantic Web and Ontologies (11 papers), Natural Language Processing Techniques (9 papers), Asthma and respiratory diseases (9 papers), Advanced Text Analysis Techniques (8 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Pharmacy (136 citations), Pulmonary and Respiratory Medicine (765 citations) and Physiology (581 citations). Sérgio Matos has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Surinder S. Birring, Ian Pavord, David H. Evans, José Luís Oliveira, David Campos, Thomas R. Fleming, A A Raj, José Sántos, Fidel Cacheda and Víctor M. Prieto. Their work appears in journals such as Thorax, Database, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, BMC Bioinformatics and Bioinformatics.
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.