Jérémie Dubois-Lacoste

11 papers receiving 1.2k citations

Hit Papers

The irace package: Iterated racing for automatic algorith...20162026201920222016250500750

Peers

Jérémie Dubois-Lacoste
Comparison fields: 5 of 84
  • Industrial and Manufacturing Engineering 598
  • Artificial Intelligence 591
  • Computational Theory and Mathematics 385
  • Computer Networks and Communications 164
  • Management Science and Operations Research 130
Replace Leslie Pérez Cáceres with:
Leslie Pérez Cáceres Chile
Koorush Ziarati Iran
César Rego United States
B. Bullnheimer Austria
Laëtitia Jourdan France
Liangjun Ke China
Ted K. Ralphs United States
Paola Festa Italy
Leonora Bianchi Switzerland
Duc-Cuong Dang United Kingdom
Jérémie Dubois-Lacoste relative to Leslie Pérez Cáceres Chile Leslie Pérez Cáceres's profile →
Citations per field
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Leslie Pérez Cáceres · 1×
Citations per year

Countries citing papers authored by Jérémie Dubois-Lacoste

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Dubois-Lacoste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérémie Dubois-Lacoste. 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 Jérémie Dubois-Lacoste. The network helps show where Jérémie Dubois-Lacoste may publish in the future.

Co-authorship network of co-authors of Jérémie Dubois-Lacoste

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 3
3 71
4
The irace package: Iterated racing for automatic algorithm configurationbreakdown →
999
5 15
6
COLOMBO Deliverable 2.3: Performance of the Traffic Light Control System for different Penetration Rates
1
7 45
8 30
9 15
10 26
11 58

About Jérémie Dubois-Lacoste

Jérémie Dubois-Lacoste is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Control and Systems Engineering, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (598 citations), Computational Theory and Mathematics (385 citations) and Artificial Intelligence (591 citations). Jérémie Dubois-Lacoste has collaborated with scholars based in Belgium, Canada and United Kingdom. Frequent co-authors include Thomas Stützle, Manuel López‐Ibáñez, Mauro Birattari, Leslie Pérez Cáceres, Franco Mascia, Holger H. Hoos, Daniel Krajzewicz and Michela Milano. Their work appears in journals such as European Journal of Operational Research, Computers & Operations Research and Journal of Heuristics.

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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