Pascal Poizat
Impact in
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- Business Process Modeling and Analysis
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Business Process Modeling and Analysis 29
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- Service-Oriented Architecture and Web Services 39
- Software Engineering Research 8
- Co-authors
- Gwen Salaün (21 shared papers)Carlos Canal (15 shared papers)Radu Mateescu (3 shared papers)Jean-Claude Royer (16 shared papers)Fatiha Zaïdi (6 shared papers)Yuhong Yan (5 shared papers)Christine Choppy (7 shared papers)Gwen Salaün (2 shared papers)
In The Last Decade
Pascal Poizat
69 papers receiving 956 citations
Peers
Comparison fields: 5 of 35
- Management Information Systems 357
- Software 158
- Information Systems 742
- Artificial Intelligence 668
- Computer Networks and Communications 323
Countries citing papers authored by Pascal Poizat
This map shows the geographic impact of Pascal Poizat'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 Pascal Poizat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Poizat more than expected).
Fields of papers citing papers by Pascal Poizat
This network shows the impact of papers produced by Pascal Poizat. 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 Pascal Poizat. The network helps show where Pascal Poizat may publish in the future.
Co-authors
The 24 scholars most cited alongside Pascal Poizat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 94 | |
| 2 | 2008 | 71 | |
| 3 | 2012 | 58 | |
| 4 | 2011 | 42 | |
| 5 | Synchronizing Behavioural Mismatch in Software Composition | 2006 | 41 |
| 6 | 2015 | 39 | |
| 7 | 2009 | 36 | |
| 8 | 2008 | 36 | |
| 9 | 2008 | 31 | |
| 10 | 2006 | 28 | |
| 11 | 2010 | 24 | |
| 12 | 2007 | 24 | |
| 13 | 2018 | 23 | |
| 14 | 2008 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2007 | 21 | |
| 17 | 2005 | 21 | |
| 18 | 2006 | 21 | |
| 19 | 2010 | 20 | |
| 20 | 2017 | 17 |
About Pascal Poizat
Pascal Poizat is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 73 papers that have together received 986 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (44 papers), Service-Oriented Architecture and Web Services (39 papers), Business Process Modeling and Analysis (29 papers), Formal Methods in Verification (16 papers), Model-Driven Software Engineering Techniques (12 papers), Semantic Web and Ontologies (9 papers), Software Engineering Research (8 papers) and Logic, programming, and type systems (7 papers). The work is most often cited by research in Management Information Systems (357 citations), Software (158 citations), Information Systems (742 citations), Artificial Intelligence (668 citations) and Computer Networks and Communications (323 citations). Pascal Poizat has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Gwen Salaün, Carlos Canal, Radu Mateescu, Jean-Claude Royer, Fatiha Zaïdi, Yuhong Yan, Christine Choppy, Gwen Salaün, Matthias Güdemann and Juan Manuel Murillo. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Software Engineering, Science of Computer Programming, Information Systems and IEEE Transactions on Services Computing.
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.