Sérgio Matos

3.5k total citations
83 papers, 1.6k citations indexed

About

Sérgio Matos is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sérgio Matos has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 37 papers in Molecular Biology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sérgio Matos's work include Biomedical Text Mining and Ontologies (32 papers), Respiratory and Cough-Related Research (17 papers) and Topic Modeling (16 papers). Sérgio Matos is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Respiratory and Cough-Related Research (17 papers) and Topic Modeling (16 papers). Sérgio Matos collaborates with scholars based in Portugal, United Kingdom and Spain. Sérgio Matos's 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 Benjamin Prudon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Sérgio Matos

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sérgio Matos Portugal	20	765	581	411	355	161	83	1.6k
Andy Liu United States	21	275 0.4×	511 0.9×	97 0.2×	298 0.8×	156 1.0×	110	1.7k
Stephen R. Ell United Kingdom	21	213 0.3×	190 0.3×	240 0.6×	158 0.4×	86 0.5×	71	1.6k
Nicola Serra Italy	25	325 0.4×	119 0.2×	74 0.2×	300 0.8×	217 1.3×	115	2.0k
Dong Kyun Park South Korea	19	400 0.5×	108 0.2×	81 0.2×	114 0.3×	103 0.6×	116	1.3k
Tong Tong Wu United States	20	82 0.1×	132 0.2×	137 0.3×	416 1.2×	131 0.8×	88	1.7k
Umer Khan United States	24	1.4k 1.8×	152 0.3×	55 0.1×	273 0.8×	245 1.5×	57	1.8k
Chris Bailey United Kingdom	20	348 0.5×	73 0.1×	57 0.1×	106 0.3×	51 0.3×	52	1.4k
Anne Wright United States	16	235 0.3×	251 0.4×	93 0.2×	36 0.1×	201 1.2×	47	1.1k
Ronald W. Helms United States	20	355 0.5×	254 0.4×	38 0.1×	186 0.5×	156 1.0×	59	2.2k
Sara Fontanella United Kingdom	17	229 0.3×	377 0.6×	37 0.1×	61 0.2×	57 0.4×	48	790

Countries citing papers authored by Sérgio Matos

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sérgio Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Sérgio Matos. A scholar is included among the top collaborators of Sérgio Matos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sérgio Matos. Sérgio Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Matos, Sérgio, et al.. (2023). Study of NAD-interacting proteins highlights the extent of NAD regulatory roles in the cell and its potential as a therapeutic target. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(2). 3 indexed citations

Pratas, Diogo, et al.. (2022). The complexity landscape of viral genomes. GigaScience. 11. 14 indexed citations

Matos, Sérgio, et al.. (2022). Modelling patient trajectories using multimodal information. Journal of Biomedical Informatics. 134. 104195–104195. 8 indexed citations

Antunes, Rui, et al.. (2022). Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics. Database. 2022. 6 indexed citations

Matos, Sérgio, et al.. (2021). NAPRT Expression Regulation Mechanisms: Novel Functions Predicted by a Bioinformatics Approach. Genes. 12(12). 2022–2022. 7 indexed citations

Matos, Sérgio, et al.. (2020). BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval.. CLEF (Working Notes). 2 indexed citations

Antunes, Rui, et al.. (2020). Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings. 662–669. 3 indexed citations

Matos, Sérgio, et al.. (2020). Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach. JMIR Medical Informatics. 8(12). e22898–e22898. 5 indexed citations

Matos, Sérgio, et al.. (2020). Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model. Entropy. 22(1). 105–105. 2 indexed citations

10.

Antunes, Rui, et al.. (2020). Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics. Studies in health technology and informatics. 270. 93–97. 7 indexed citations

11.

Matos, Sérgio, et al.. (2018). SCREEN-DR: Collaborative platform for diabetic retinopathy. International Journal of Medical Informatics. 120. 137–146. 15 indexed citations

12.

Smaldone, Arlene, Sally E. Findley, Suzanne Bakken, et al.. (2016). Study protocol for a randomized controlled trial to assess the feasibility of an open label intervention to improve hydroxyurea adherence in youth with sickle cell disease. Contemporary Clinical Trials. 49. 134–142. 8 indexed citations

13.

Turner, Richard, et al.. (2014). S79 Cough Prevalence And Frequency In Pulmonary Tuberculosis. Thorax. 69(Suppl 2). A43–A44. 4 indexed citations

14.

Lee, Kai K., Sérgio Matos, David H. Evans, et al.. (2013). A Longitudinal Assessment of Acute Cough. American Journal of Respiratory and Critical Care Medicine. 187(9). 991–997. 64 indexed citations

15.

Sántos, José & Sérgio Matos. (2013). Predicting Flu Incidence from Portuguese Tweets. 11–18. 8 indexed citations

16.

Lee, Kai K., et al.. (2012). Four-Hour Cough Frequency Monitoring in Chronic Cough. CHEST Journal. 142(5). 1237–1243. 19 indexed citations

17.

Yousaf, Nadia, Sérgio Matos, Surinder S. Birring, & Ian Pavord. (2009). FACTORS AFFECTING COUGH FREQUENCY IN A MIXED POPULATION. Thorax. 64. 3 indexed citations

18.

Wood, Christopher, et al.. (2008). THE ASSESSMENT OF COUGH SEVERITY WITH A NOVEL COUGH MONITOR. Thorax. 63. 2 indexed citations

19.

Yousaf, Nadia, et al.. (2008). NORMAL RANGE FOR 24-HOUR COUGH FREQUENCY. Thorax. 63. 2 indexed citations

20.

Duggal, Arun S., et al.. (2003). DP FPSO - A Fully Dynamically Positioned FPSO for Ultra Deep Waters. 5 indexed citations

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.

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