Marcos Da Silveira

27 papers and 199 indexed citations i.

About

Marcos Da Silveira is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Marcos Da Silveira has authored 27 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Molecular Biology and 5 papers in Management Science and Operations Research. Recurrent topics in Marcos Da Silveira’s work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (16 papers) and Data Quality and Management (4 papers). Marcos Da Silveira is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (16 papers) and Data Quality and Management (4 papers). Marcos Da Silveira collaborates with scholars based in Luxembourg, France and Brazil. Marcos Da Silveira's co-authors include Cédric Pruski, Ernesto Expósito, Khalil Drira, Júlio Cesar dos Reis, Annette ten Teije, Frank van Harmelen, Rinke Hoekstra, Rodrigo Bonacin, Edwin Geleijn and Marike van der Leeden and has published in prestigious journals such as Knowledge-Based Systems, Future Generation Computer Systems and Journal of Biomedical Informatics.

In The Last Decade

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

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025