Frédéric Boussemart
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Fred HémeryChristophe LecoutreLakhdar SaïsKe XuCédric PietteGilles AudemardOlivier Roussel
- Topics
- Constraint Satisfaction and Optimization (6 papers)Scheduling and Timetabling Solutions (3 papers)Data Management and Algorithms (3 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsManagement Science and Operations Research
- Journals
- Artificial IntelligenceConstraintsEuropean Conference on Artificial Intelligence
In The Last Decade
Frédéric Boussemart
4 papers receiving 263 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 237
- Artificial Intelligence 124
- Signal Processing 116
- Computational Theory and Mathematics 72
- Management Science and Operations Research 71
Countries citing papers authored by Frédéric Boussemart
This map shows the geographic impact of Frédéric Boussemart'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 Frédéric Boussemart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Boussemart more than expected).
Fields of papers citing papers by Frédéric Boussemart
This network shows the impact of papers produced by Frédéric Boussemart. 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 Frédéric Boussemart. The network helps show where Frédéric Boussemart may publish in the future.
Co-authorship network of co-authors of Frédéric Boussemart
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Boussemart. A scholar is included among the top collaborators of Frédéric Boussemart 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 Frédéric Boussemart. Frédéric Boussemart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 98 | |
| 3 | 24 | |
| 4 | Boosting systematic search by weighting constraints | 156 |
| 5 | 1 | |
| 6 | 0 |
About Frédéric Boussemart
Frédéric Boussemart is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 6 papers that have together received 279 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (6 papers), Scheduling and Timetabling Solutions (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Signal Processing (116 citations), Computer Networks and Communications (237 citations) and Management Science and Operations Research (71 citations). Frédéric Boussemart has collaborated with scholars based in France and China. Frequent co-authors include Fred Hémery, Christophe Lecoutre, Lakhdar Saïs, Ke Xu, Cédric Piette, Gilles Audemard and Olivier Roussel. Their work appears in journals such as Artificial Intelligence, Constraints and European Conference on Artificial Intelligence.
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.