M. Barros

29.2k total citations
14 papers, 48 citations indexed

About

M. Barros is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, M. Barros has authored 14 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Molecular Biology. Recurrent topics in M. Barros's work include Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). M. Barros is often cited by papers focused on Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). M. Barros collaborates with scholars based in Portugal, Pakistan and France. M. Barros's co-authors include Francisco M. Couto, A. Moitinho, Tiago Rodrigues, José Cecílio, André Lamúrias, Alan Oliveira de Sá, Sandrine Caroly, Flore Barcellini, Hung Nguyen and Peggy Zwolinski and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

M. Barros

10 papers receiving 46 citations

Peers

M. Barros
Olga Vrousgou United Kingdom
Saravanan Radhakrishnan India
Dennis Spohr Germany
Zaenal Akbar Indonesia
Phoebe M. Roberts United States
Alex D. Wade United States
Suyang Dai China
Peishen Qi United States
Damyan Ognyanov United Kingdom
Yibin Dong United States
Olga Vrousgou United Kingdom
M. Barros
Citations per year, relative to M. Barros M. Barros (= 1×) peers Olga Vrousgou

Countries citing papers authored by M. Barros

Since Specialization
Citations

This map shows the geographic impact of M. Barros'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 M. Barros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Barros more than expected).

Fields of papers citing papers by M. Barros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Barros. 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 M. Barros. The network helps show where M. Barros may publish in the future.

Co-authorship network of co-authors of M. Barros

This figure shows the co-authorship network connecting the top 25 collaborators of M. Barros. A scholar is included among the top collaborators of M. Barros 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 M. Barros. M. Barros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Rodrigues, Tiago, et al.. (2025). AI-driven IoT recommender system for enhancing energy efficient management in smart houses. Expert Systems with Applications. 296. 129108–129108. 3 indexed citations
2.
3.
Cecílio, José, Tiago Rodrigues, M. Barros, & Alan Oliveira de Sá. (2025). Leveraging Sustainable Household Energy and Environment Resources Management with Time-Series. Scientific Data. 12(1). 479–479. 1 indexed citations
4.
Caroly, Sandrine, et al.. (2024). Different forms of fablab organization and their impact on collaboration and innovation. Applied Ergonomics. 122. 104399–104399.
5.
Barros, M., et al.. (2024). Survey on Recommender Systems for Biomedical Items in Life and Health Sciences. ACM Computing Surveys. 56(6). 1–32.
6.
Barros, M., A. Moitinho, & Francisco M. Couto. (2022). SeEn: Sequential enriched datasets for sequence-aware recommendations. Scientific Data. 9(1). 478–478.
7.
Barros, M., A. Moitinho, & Francisco M. Couto. (2021). Hybrid semantic recommender system for chemical compounds in large-scale datasets. Journal of Cheminformatics. 13(1). 15–15. 8 indexed citations
8.
Barros, M., et al.. (2021). COVID-19 recommender system based on an annotated multilingual corpus. Genomics & Informatics. 19(3). e24–e24. 1 indexed citations
9.
Barros, M., et al.. (2021). Creating Recommender Systems Datasets in Scientific Fields. 4029–4030. 1 indexed citations
10.
Barros, M., et al.. (2020). COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities. 2 indexed citations
11.
Barros, M., et al.. (2020). DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders. 675–680. 2 indexed citations
12.
Barros, M., A. Moitinho, & Francisco M. Couto. (2019). Using Research Literature to Generate Datasets of Implicit Feedback for Recommending Scientific Items. IEEE Access. 7. 176668–176680. 10 indexed citations
13.
Barros, M. & Francisco M. Couto. (2016). Knowledge Representation and Management: a Linked Data Perspective. Yearbook of Medical Informatics. 25(1). 178–183. 13 indexed citations
14.

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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2026