Rafael Belchior

75 total papers · 835 total citations
14 papers, 163 citations indexed

About

Rafael Belchior is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rafael Belchior has authored 14 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Rafael Belchior's work include Blockchain Technology Applications and Security (13 papers), Cloud Data Security Solutions (5 papers) and Cloud Computing and Resource Management (4 papers). Rafael Belchior is often cited by papers focused on Blockchain Technology Applications and Security (13 papers), Cloud Data Security Solutions (5 papers) and Cloud Computing and Resource Management (4 papers). Rafael Belchior collaborates with scholars based in Portugal, United States and China. Rafael Belchior's co-authors include André Vasconcelos, Miguel Correia, Thomas Hardjono, Sérgio Guerreiro, Günther Pernul, Benedikt Putz, Luyao Zhang, Qi Feng, Nuno Nunes and Shankar Subramanian and has published in prestigious journals such as Communications of the ACM, Journal of the Association for Information Systems and Future Generation Computer Systems.

In The Last Decade

Rafael Belchior

11 papers receiving 154 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rafael Belchior 132 52 38 18 7 14 163
Anas Shatnawi 144 1.1× 62 1.2× 86 2.3× 8 0.4× 11 1.6× 22 180
Sizheng Fan 102 0.8× 43 0.8× 61 1.6× 13 0.7× 12 1.7× 11 147
Romaric Ludinard 74 0.6× 25 0.5× 40 1.1× 16 0.9× 6 0.9× 11 102
Livio Pompianu 138 1.0× 33 0.6× 53 1.4× 26 1.4× 13 1.9× 15 182
Yiannis Kanellopoulos 140 1.1× 49 0.9× 81 2.1× 8 0.4× 6 0.9× 12 221
Lucianna Kiffer 136 1.0× 67 1.3× 40 1.1× 9 0.5× 21 3.0× 8 152
Anya Kim 104 0.8× 44 0.8× 78 2.1× 25 1.4× 11 1.6× 8 132
Sicong Zhou 179 1.4× 94 1.8× 91 2.4× 16 0.9× 30 4.3× 11 249
Xavier Blanc 152 1.2× 44 0.8× 43 1.1× 14 0.8× 4 0.6× 17 199
Cristina Pérez‐Solà 188 1.4× 61 1.2× 84 2.2× 28 1.6× 18 2.6× 22 222

Countries citing papers authored by Rafael Belchior

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Belchior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Belchior

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

All Works

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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