IBM Research - Brazil

277 papers and 4.3k indexed citations i.

About

In recent decades, authors affiliated with IBM Research - Brazil have published 277 papers, which have received a total of 4.3k indexed citations. Scholars at this organization have produced 71 papers in Artificial Intelligence, 45 papers in Information Systems and 34 papers in Computer Networks and Communications on the topics of Semantic Web and Ontologies (14 papers), Scientific Computing and Data Management (13 papers) and Remote Sensing in Agriculture (12 papers). Their work is cited by papers focused on Artificial Intelligence (1.2k citations), Materials Chemistry (839 citations) and Information Systems (584 citations). Authors at IBM Research - Brazil collaborate with scholars in Brazil, United States and United Kingdom and have published in prestigious journals including Nature Communications, Nano Letters and Blood. Some of IBM Research - Brazil's most productive authors include M. Steiner, Michael Engel, Phaedon Avouris, Cícero dos Santos, Bianca Zadrozny, Marco A. S. Netto, Rajkumar Buyya, Rodrigo N. Calheiros, Marcos Dias de Assunção and Silvia Bianchi.

In The Last Decade

Fields of papers published by authors at IBM Research - Brazil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with IBM Research - Brazil at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with IBM Research - Brazil at the time of their publication.

Countries citing scholars working at IBM Research - Brazil

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at IBM Research - Brazil. 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 papers produced at IBM Research - Brazil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IBM Research - Brazil 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.

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2025