Eric Soubeiga
Impact in
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- Vehicle Routing Optimization Methods
- Scheduling and Optimization Algorithms
- Optimization and Packing Problems
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- Scheduling and Timetabling Solutions
Papers in
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- Scheduling and Optimization Algorithms 4
- Vehicle Routing Optimization Methods 2
- Advanced Manufacturing and Logistics Optimization 1
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- Scheduling and Timetabling Solutions 4
- Resource-Constrained Project Scheduling 1
- Co-authors
- Edmund Burke (6 shared papers)Graham Kendall (4 shared papers)Kathryn A. Dowsland (1 shared paper)Peter Cowling (1 shared paper)Dario Landa-Silva (2 shared papers)
- Journals
- Journal of Heuristics (1 paper)European Journal of Operational Research (1 paper)Repository@Nottingham (University of Nottingham) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Eric Soubeiga
7 papers receiving 534 citations
Peers
Comparison fields: 5 of 47
- Industrial and Manufacturing Engineering 348
- Management Science and Operations Research 349
- Artificial Intelligence 233
- Computational Mathematics 4
- Computational Theory and Mathematics 97
Countries citing papers authored by Eric Soubeiga
This map shows the geographic impact of Eric Soubeiga'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 Eric Soubeiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Soubeiga more than expected).
Fields of papers citing papers by Eric Soubeiga
This network shows the impact of papers produced by Eric Soubeiga. 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 Eric Soubeiga. The network helps show where Eric Soubeiga may publish in the future.
Co-authors
The 5 scholars most cited alongside Eric Soubeiga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 354 | |
| 2 | 2005 | 110 | |
| 3 | A Parameter-Free Hyperheuristic for Scheduling a Sales Summit | 2002 | 37 |
| 4 | 2005 | 37 | |
| 5 | SCHEDULING NURSES USING A TABU-SEARCH HYPERHEURISTIC | 2003 | 21 |
| 6 | Hyperheuristic Approaches for Multiobjective Optimisation | 2003 | 13 |
| 7 | An Ant Algorithm Hyper-heuristic | 2003 | 6 |
About Eric Soubeiga
Eric Soubeiga is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 7 papers that have together received 578 indexed citations. Recurring topics across this work include Scheduling and Timetabling Solutions (4 papers), Scheduling and Optimization Algorithms (4 papers), Constraint Satisfaction and Optimization (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Vehicle Routing Optimization Methods (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Manufacturing and Logistics Optimization (1 paper) and Resource-Constrained Project Scheduling (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (348 citations), Management Science and Operations Research (349 citations), Artificial Intelligence (233 citations), Computational Mathematics (4 citations) and Computational Theory and Mathematics (97 citations). Eric Soubeiga has collaborated with scholars based in United Kingdom. Frequent co-authors include Edmund Burke, Graham Kendall, Kathryn A. Dowsland, Peter Cowling and Dario Landa-Silva. Their work appears in journals such as Journal of Heuristics, European Journal of Operational Research and Repository@Nottingham (University of Nottingham).
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.