Diogo Proença

40 total papers · 500 total citations
17 papers, 202 citations indexed

About

Diogo Proença is a scholar working on Information Systems, Management Information Systems and Information Systems and Management. According to data from OpenAlex, Diogo Proença has authored 17 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 10 papers in Management Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Diogo Proença's work include Information Technology Governance and Strategy (8 papers), Big Data and Business Intelligence (6 papers) and Business Process Modeling and Analysis (5 papers). Diogo Proença is often cited by papers focused on Information Technology Governance and Strategy (8 papers), Big Data and Business Intelligence (6 papers) and Business Process Modeling and Analysis (5 papers). Diogo Proença collaborates with scholars based in Portugal, Austria and United Kingdom. Diogo Proença's co-authors include José Borbinha, Ricardo Vieira, Christoph Becker, Gonçalo Antunes, Dietmar Winkler, José Barateiro, Stefan Biffl, David Anderson, Tomasz Miksa and José Tribolet and has published in prestigious journals such as Computer Standards & Interfaces, Procedia Computer Science and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Diogo Proença

13 papers receiving 189 citations

Author Peers

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

Author Last Decade Papers Cites
Diogo Proença 93 63 57 38 34 17 202
Béatrix Barafort 74 0.8× 30 0.5× 58 1.0× 32 0.8× 18 0.5× 10 194
Amy Igou 129 1.4× 60 1.0× 42 0.7× 35 0.9× 22 0.6× 9 261
Peter Ohlhausen 69 0.7× 114 1.8× 17 0.3× 55 1.4× 20 0.6× 18 205
Danijela Gračanin 68 0.7× 50 0.8× 68 1.2× 68 1.8× 11 0.3× 16 281
Adina Aldea 86 0.9× 26 0.4× 81 1.4× 48 1.3× 8 0.2× 27 253
Danijela Ćirić Lalić 50 0.5× 44 0.7× 67 1.2× 60 1.6× 12 0.4× 29 233
Reyes Grangel 135 1.5× 63 1.0× 82 1.4× 30 0.8× 9 0.3× 22 278
Blaž Rodič 33 0.4× 178 2.8× 35 0.6× 32 0.8× 23 0.7× 25 269
Peter Middleton 96 1.0× 21 0.3× 116 2.0× 47 1.2× 11 0.3× 17 209
Joanna Oleśków-Szłapka 88 0.9× 154 2.4× 13 0.2× 81 2.1× 24 0.7× 14 267

Countries citing papers authored by Diogo Proença

Since Specialization
Citations

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

Fields of papers citing papers by Diogo Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diogo Proença

This figure shows the co-authorship network connecting the top 25 collaborators of Diogo Proença. A scholar is included among the top collaborators of Diogo Proença 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 Diogo Proença. Diogo Proença 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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