Didier Roland
- Computer Networks and Communications
- Information Systems top 10%
- Artificial Intelligence
- Software top 10%
- Computational Theory and Mathematics
- Co-authors
- Vincent EnglebertJean-Luc HainautJean-Marc HickJ. HenrardJean HenrardPascal Van HentenryckAnthony CleveBaudouin Le Charlier
- Topics
- Software System Performance and Reliability (5 papers)Software Engineering Research (5 papers)Software Testing and Debugging Techniques (5 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Didier Roland
13 papers receiving 79 citations
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 57
- Information Systems 57
- Artificial Intelligence 49
- Software 30
- Computational Theory and Mathematics 15
Countries citing papers authored by Didier Roland
This map shows the geographic impact of Didier Roland'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 Didier Roland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Roland more than expected).
Fields of papers citing papers by Didier Roland
This network shows the impact of papers produced by Didier Roland. 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 Didier Roland. The network helps show where Didier Roland may publish in the future.
Co-authorship network of co-authors of Didier Roland
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Roland. A scholar is included among the top collaborators of Didier Roland 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 Didier Roland. Didier Roland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | Technique d'analyse de programmes pour la rétro-ingénierie de bases de données | 0 |
| 10 | 12 | |
| 11 | DB-MAIN : un atelier d'ingénierie de bases de données | 1 |
| 12 | 16 | |
| 13 | Generic Abstract Interpretation Algorithms For Prolog: Two Optimization Techniques and Their Experimental Evaluation. | 1 |
| 14 | 2 |
About Didier Roland
Didier Roland is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 14 papers that have together received 90 indexed citations. Recurring topics across this work include Software System Performance and Reliability (5 papers), Software Engineering Research (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Software (30 citations), Information Systems (57 citations) and Computer Networks and Communications (57 citations). Didier Roland has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Vincent Englebert, Jean-Luc Hainaut, Jean-Marc Hick, J. Henrard, Jean Henrard, Pascal Van Hentenryck, Anthony Cleve and Baudouin Le Charlier. Their work appears in journals such as Lecture notes in computer science, Software Practice and Experience and Computers & Graphics.
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.