Marcos Da Silveira

631 total citations
41 papers, 260 citations indexed

About

Marcos Da Silveira is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Marcos Da Silveira has authored 41 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Marcos Da Silveira's work include Semantic Web and Ontologies (22 papers), Biomedical Text Mining and Ontologies (21 papers) and Service-Oriented Architecture and Web Services (6 papers). Marcos Da Silveira is often cited by papers focused on Semantic Web and Ontologies (22 papers), Biomedical Text Mining and Ontologies (21 papers) and Service-Oriented Architecture and Web Services (6 papers). Marcos Da Silveira collaborates with scholars based in Luxembourg, France and Brazil. Marcos Da Silveira's co-authors include Cédric Pruski, Khalil Drira, Ernesto Expósito, Júlio Cesar dos Reis, Annette ten Teije, Frank van Harmelen, Rinke Hoekstra, Edwin Geleijn, Marike van der Leeden and Martijn M. Stuiver and has published in prestigious journals such as Knowledge-Based Systems, Future Generation Computer Systems and Journal of Biomedical Informatics.

In The Last Decade

Marcos Da Silveira

37 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Da Silveira Luxembourg 8 160 90 54 51 34 41 260
Cédric Pruski Luxembourg 10 208 1.3× 122 1.4× 75 1.4× 57 1.1× 38 1.1× 44 321
Gianluca Correndo United Kingdom 8 146 0.9× 76 0.8× 56 1.0× 32 0.6× 34 1.0× 32 231
Kathrin Dentler Netherlands 8 122 0.8× 64 0.7× 55 1.0× 38 0.7× 26 0.8× 11 207
Giorgio Leonardi Italy 9 187 1.2× 53 0.6× 89 1.6× 42 0.8× 32 0.9× 31 339
Thomas Aden Germany 5 86 0.5× 63 0.7× 68 1.3× 64 1.3× 121 3.6× 6 251
Duygu Çelik Ertuğrul Türkiye 10 124 0.8× 26 0.3× 102 1.9× 17 0.3× 23 0.7× 36 238
Mustafa Yüksel Türkiye 8 48 0.3× 69 0.8× 29 0.5× 32 0.6× 99 2.9× 28 238
Sonja Zillner Germany 10 137 0.9× 82 0.9× 26 0.5× 31 0.6× 39 1.1× 42 268
Mark Delderfield United Kingdom 4 90 0.6× 44 0.5× 168 3.1× 50 1.0× 14 0.4× 6 286
Arturo González-Ferrer Spain 8 68 0.4× 56 0.6× 21 0.4× 28 0.5× 73 2.1× 13 171

Countries citing papers authored by Marcos Da Silveira

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Da Silveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Da Silveira. 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 Marcos Da Silveira. The network helps show where Marcos Da Silveira may publish in the future.

Co-authorship network of co-authors of Marcos Da Silveira

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

All Works

20 of 20 papers shown
1.
Silveira, Marcos Da, et al.. (2025). Evaluating ESCO skill classifiers. Statistical Journal of the IAOS. 41(4). 1038–1057.
2.
Silveira, Marcos Da, et al.. (2024). A knowledge-sharing platform for space resources. Data & Knowledge Engineering. 151. 102286–102286. 1 indexed citations
3.
Silveira, Marcos Da, et al.. (2024). Unlocking the potential of data harmonization and FAIRness in chemical risk assessment: lessons from practice and insights for policy development. Environmental Sciences Europe. 36(1). 2 indexed citations
4.
Silveira, Marcos Da, et al.. (2023). Analysis and implementation of the DynDiff tool when comparing versions of ontology. Journal of Biomedical Semantics. 14(1). 15–15. 2 indexed citations
5.
Pruski, Cédric, et al.. (2018). Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change. Journal of Biomedical Informatics. 87. 1–11. 7 indexed citations
6.
Silveira, Marcos Da, Cédric Pruski, Annette ten Teije, et al.. (2017). Analyzing interactions on combining multiple clinical guidelines. Artificial Intelligence in Medicine. 81. 78–93. 24 indexed citations
7.
Schneider, Reinhard, et al.. (2017). Data Integration in the Life Sciences. Lecture notes in computer science. 2 indexed citations
8.
Pruski, Cédric, Júlio Cesar dos Reis, & Marcos Da Silveira. (2016). Capturing the Relationship between Evolving Biomedical Concepts via Background Knowledge.. 2 indexed citations
9.
Santos, Cristiana, Cédric Pruski, Marcos Da Silveira, et al.. (2016). Complaint Ontology Pattern - COP. Open Repository and Bibliography (University of Luxembourg). 69–83. 1 indexed citations
10.
Pruski, Cédric, et al.. (2015). DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems. Journal of Biomedical Informatics. 55. 153–173. 9 indexed citations
11.
Bonacin, Rodrigo, et al.. (2015). Special issue on Semantic Technologies for Collaborative Web. Future Generation Computer Systems. 54. 344–347. 1 indexed citations
12.
Pruski, Cédric, et al.. (2014). Identifying relevant concept attributes to support mapping maintenance under ontology evolution. Journal of Web Semantics. 29. 53–66. 16 indexed citations
13.
Silveira, Marcos Da, et al.. (2014). Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptation. Artificial Intelligence in Medicine. 63(3). 153–170. 6 indexed citations
14.
Silveira, Marcos Da, et al.. (2014). A perspective of adaptation in healthcare. Studies in health technology and informatics. 205. 206–10. 3 indexed citations
15.
Reis, J. C. dos, et al.. (2014). Identifying change patterns of concept attributes in ontology evolution. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Abacha, Asma Ben, Marcos Da Silveira, & Cédric Pruski. (2013). Une approche pour la validation du contenu d'une ontologie par un système à base de questions/réponses. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
17.
Bonacin, Rodrigo, Cédric Pruski, & Marcos Da Silveira. (2013). Architecture and services for formalising and evaluating care actions from computer-interpretable guidelines. International Journal of Medical Engineering and Informatics. 5(3). 253–253. 4 indexed citations
18.
Reis, Júlio Cesar dos, et al.. (2013). Understanding semantic mapping evolution by observing changes in biomedical ontologies. Journal of Biomedical Informatics. 47. 71–82. 26 indexed citations
19.
Silveira, Marcos Da, et al.. (2011). Protecting Patient Privacy when Sharing Medical Data. 108–113. 6 indexed citations
20.
Silveira, Marcos Da, et al.. (2005). From centraued to distributed models: a systematic procedure based on petri nets. vol.4. 355–360. 2 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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