Eric Soubeiga

1.6k citations
7 papers · 578 indexed · h-index 7
Topics
Scheduling and Optimization Algorithms (4 papers)Scheduling and Timetabling Solutions (4 papers)Constraint Satisfaction and Optimization (3 papers)
Journals
European Journal of Operational ResearchJournal of HeuristicsRepository@Nottingham (University of Nottingham)
Partner nations
United Kingdom

In The Last Decade

Eric Soubeiga

7 papers receiving 534 citations

Peers

Eric Soubeiga
Comparison fields: 5 of 47
  • Management Science and Operations Research 348
  • Industrial and Manufacturing Engineering 347
  • Artificial Intelligence 235
  • Computer Networks and Communications 129
  • Computational Theory and Mathematics 99
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Yuri Bykov United Kingdom
Charles Fleurent Canada
Hana Rudová Czechia
Celia A. Glass United Kingdom
Yuri Malitsky United States
Cheng-Yu Hsu Taiwan
B.J. Lageweg Netherlands
D.J. Hoitomt United States
Abderrahmane Aggoun Poland
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Citations per field
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Citations per year

Countries citing papers authored by Eric Soubeiga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric Soubeiga

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Soubeiga. A scholar is included among the top collaborators of Eric Soubeiga 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 Eric Soubeiga. Eric Soubeiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 109
2 37
3
SCHEDULING NURSES USING A TABU-SEARCH HYPERHEURISTIC
21
4
An Ant Algorithm Hyper-heuristic
6
5
Hyperheuristic Approaches for Multiobjective Optimisation
13
6 355
7
A Parameter-Free Hyperheuristic for Scheduling a Sales Summit
37

About Eric Soubeiga

Eric Soubeiga is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications, having authored 7 papers that have together received 578 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (4 papers), Scheduling and Timetabling Solutions (4 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (347 citations), Management Science and Operations Research (348 citations) and Artificial Intelligence (235 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 European Journal of Operational Research, Journal of Heuristics 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.

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