Pascal Urso B

989 citations
31 papers · 625 · h-index 10

Impact in

Papers in

Pascal Urso B

29 papers receiving 589 citations

Peers

Pascal Urso B
Comparison fields: 5 of 33
  • Computer Networks and Communications 484
  • Information Systems 76
  • Artificial Intelligence 96
  • Communication 26
  • Human-Computer Interaction 19
Replace Jean Ferrié with:
Jean Ferrié France
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Changtao Qu Germany
Mizuho Iwaihara Japan
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Citations per year

Countries citing papers authored by Pascal Urso B

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Urso B

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal Urso B. 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 Urso B. The network helps show where Pascal Urso B may publish in the future.

Co-authors

The 12 scholars most cited alongside Pascal Urso B, 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 Pascal Urso B Line = papers co-authored together Pascal Urso B links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 200990
3 201081
4 200754
5 200651
6 201148
7 200325
8 201024
9 201620
10 200911
11 20038
12 20048
13 20097
14 20137
15
Generalization Discovery for Proofs by Induction in Conditional Theories
19996
16 20124
17 20033
18
Compensation in Collaborative Editing
20073
19 20133
20 20143

About Pascal Urso B

Pascal Urso B is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Human-Computer Interaction and Computational Theory and Mathematics, having authored 31 papers that have together received 625 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (14 papers), Logic, programming, and type systems (9 papers), Peer-to-Peer Network Technologies (6 papers), Multimedia Communication and Technology (2 papers), Advanced Database Systems and Queries (2 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computer Networks and Communications (484 citations), Information Systems (76 citations), Artificial Intelligence (96 citations), Communication (26 citations) and Human-Computer Interaction (19 citations). Pascal Urso B has collaborated with scholars based in France, Portugal and Switzerland. Frequent co-authors include Pascal Molli, Abdessamad Imine A, Gérald Oster, Emmanuel Kounalis, Claudia‐Lavinia Ignat, Marc Shapiro, Nuno Preguiça, Valter Balegas, François Charoy and Pierre‐Yves Schobbens. Their work appears in journals such as Theoretical Computer Science, IEEE Transactions on Parallel and Distributed Systems, Lecture notes in computer science, Electronic Notes in Theoretical Computer Science and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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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