Jorge Sousa Pinto

102 total papers · 508 total citations
37 papers, 144 citations indexed

About

Jorge Sousa Pinto is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Jorge Sousa Pinto has authored 37 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 15 papers in Software. Recurrent topics in Jorge Sousa Pinto's work include Formal Methods in Verification (23 papers), Logic, programming, and type systems (22 papers) and Software Testing and Debugging Techniques (10 papers). Jorge Sousa Pinto is often cited by papers focused on Formal Methods in Verification (23 papers), Logic, programming, and type systems (22 papers) and Software Testing and Debugging Techniques (10 papers). Jorge Sousa Pinto collaborates with scholars based in Portugal, Brazil and United Kingdom. Jorge Sousa Pinto's co-authors include José Bacelar Almeida, Manuel Barbosa, Ian Mackie, Alberto Pardo, Lu­ís Soares Barbosa, Ana Bove, Luís Miguel Pinho, Maribel Fernández, Pedro Rangel Henriques and Alcino Cunha and has published in prestigious journals such as IEEE Transactions on Reliability, Journal of Systems and Software and ACM SIGPLAN Notices.

In The Last Decade

Jorge Sousa Pinto

31 papers receiving 131 citations

Author Peers

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

Author Last Decade Papers Cites
Jorge Sousa Pinto 94 58 35 31 28 37 144
David Pichardie 107 1.1× 62 1.1× 25 0.7× 27 0.9× 10 0.4× 25 131
Mizuhito Ogawa 55 0.6× 54 0.9× 44 1.3× 25 0.8× 21 0.8× 29 121
Leo Freitas 76 0.8× 37 0.6× 81 2.3× 30 1.0× 60 2.1× 29 163
Alexander J. Summers 141 1.5× 82 1.4× 29 0.8× 58 1.9× 37 1.3× 27 197
Peter Lammich 98 1.0× 78 1.3× 21 0.6× 29 0.9× 15 0.5× 36 140
Bernard Stépien 120 1.3× 44 0.8× 70 2.0× 60 1.9× 87 3.1× 25 204
Nikos Gorogiannis 177 1.9× 53 0.9× 43 1.2× 44 1.4× 27 1.0× 21 229
Wolfram Kahl 99 1.1× 65 1.1× 26 0.7× 37 1.2× 28 1.0× 26 151
Vladimir Klebanov 100 1.1× 62 1.1× 24 0.7× 66 2.1× 57 2.0× 23 152
Dilian Gurov 91 1.0× 91 1.6× 32 0.9× 47 1.5× 22 0.8× 38 138

Countries citing papers authored by Jorge Sousa Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Sousa Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Sousa Pinto. 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 Jorge Sousa Pinto. The network helps show where Jorge Sousa Pinto may publish in the future.

Co-authorship network of co-authors of Jorge Sousa Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Sousa Pinto. A scholar is included among the top collaborators of Jorge Sousa Pinto 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 Jorge Sousa Pinto. Jorge Sousa Pinto 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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