José Proença

704 citations
35 papers · 243 · h-index 10

Impact in

Papers in

José Proença

33 papers receiving 230 citations

Peers

José Proença
Comparison fields: 5 of 34
  • Software 92
  • Computational Theory and Mathematics 85
  • Artificial Intelligence 147
  • Computer Networks and Communications 88
  • Information Systems 81
Replace S. Roach with:
S. Roach United States
Alcino Cunha Portugal
Ramtin Khosravi Iran
Wolfgang Ahrendt Sweden
Nuno Macedo Portugal
Antoine Beugnard France
Amel Mammar France
V. S. Alagar Canada
Marc Frappier Canada
Volker Stolz Norway
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Citations per year

Countries citing papers authored by José Proença

Since Specialization
Citations

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

Fields of papers citing papers by José Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside José Proença, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with José Proença Line = papers co-authored together José Proença links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201732
2
Synchronous Coordination of Distributed Components
201124
3
Feature Petri Nets.
201017
4 201217
5 201216
6 201714
7 201514
8
Modeling, Testing and Executing Reo Connectors with the Eclipse Coordination Tools
200814
9 201010
10 20189
11 20169
12 20128
13
Towards a theory of views for feature models
20107
14 20217
15 20085
16 20095
17 20144
18 20204
19 20154
20 20124

About José Proença

José Proença is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Software and Information Systems, having authored 35 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (10 papers), Formal Methods in Verification (10 papers), Logic, programming, and type systems (8 papers), Service-Oriented Architecture and Web Services (8 papers), Model-Driven Software Engineering Techniques (8 papers), Distributed systems and fault tolerance (6 papers), Logic, Reasoning, and Knowledge (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Software (92 citations), Computational Theory and Mathematics (85 citations), Artificial Intelligence (147 citations), Computer Networks and Communications (88 citations) and Information Systems (81 citations). José Proença has collaborated with scholars based in Belgium, Portugal and Netherlands. Frequent co-authors include Dave Clarke, Nuno Macedo, Raju Halder, Farhad Arbab, E.P. de Vink, Alexander Lazovik, Elvira Albert, Peter Y. H. Wong, Rudolf Schlatte and Jan Schäfer. Their work appears in journals such as Science of Computer Programming, Journal of Internet Services and Applications, International Journal on Software Tools for Technology Transfer, Journal of Logical and Algebraic Methods in Programming and Proceedings of the ACM on Programming Languages.

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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