Philippe Dague

1.2k citations
52 papers · 587 · h-index 15

Impact in

Papers in

Philippe Dague

48 papers receiving 531 citations

Peers

Philippe Dague
Comparison fields: 5 of 65
  • Software 75
  • Control and Systems Engineering 282
  • Artificial Intelligence 276
  • Computational Theory and Mathematics 135
  • Management Information Systems 45
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Citations per year

Countries citing papers authored by Philippe Dague

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Dague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Dague, 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 Philippe Dague Line = papers co-authored together Philippe Dague links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004150
2
A comparative analysis of AI and control theory approaches to model-based diagnosis
200045
3 199534
4
Symbolic Reasoning with Relative Orders of Magnitude.
199330
5
Numeric reasoning with relative orders of magnitude
199328
6 200926
7 200025
8 200424
9
When oscillators stop oscillating
199219
10 201018
11 201718
12 200715
13
State Tracking of Uncertain Hybrid Concurrent Systems
200215
14
Analog systems diagnosis
199014
15 201714
16 199414
17
A general consistency (checking and restoring) engine for knowledge bases
199012
18 20099
19 20158
20
IDD: integrating diagnosis in the design of automotive systems
20027

About Philippe Dague

Philippe Dague is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 52 papers that have together received 587 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (14 papers), Petri Nets in System Modeling (13 papers), Fault Detection and Control Systems (13 papers), Formal Methods in Verification (12 papers), Advanced Data Processing Techniques (7 papers), Service-Oriented Architecture and Web Services (6 papers), Semantic Web and Ontologies (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Software (75 citations), Control and Systems Engineering (282 citations), Artificial Intelligence (276 citations), Computational Theory and Mathematics (135 citations) and Management Information Systems (45 citations). Philippe Dague has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Louise Travé-Massuyès, François Lévy, Jacky Montmain, Μ. Staroswiecki, Marie-Odile Cordier, Yuhong Yan, Marion Dumas, Lina Ye, Liliana Ironi and Yannick Pencolé. Their work appears in journals such as Journal of Control Science and Engineering, AI Magazine, PLoS ONE, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Information Systems.

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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