Thibaut Vidal

6.0k total citations · 4 hit papers
69 papers, 3.7k citations indexed

About

Thibaut Vidal is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Thibaut Vidal has authored 69 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Industrial and Manufacturing Engineering, 27 papers in Automotive Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Thibaut Vidal's work include Vehicle Routing Optimization Methods (51 papers), Transportation and Mobility Innovations (25 papers) and Optimization and Packing Problems (17 papers). Thibaut Vidal is often cited by papers focused on Vehicle Routing Optimization Methods (51 papers), Transportation and Mobility Innovations (25 papers) and Optimization and Packing Problems (17 papers). Thibaut Vidal collaborates with scholars based in Brazil, Canada and France. Thibaut Vidal's co-authors include Michel Gendreau, Teodor Gabriel Crainic, Christian Prins, Anand Subramanian, Richard F. Hartl, Walter Rei, Nadia Lahrichi, Artur Alves Pessoa, Marcus Poggi and Luiz Satoru Ochi and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Operations Research.

In The Last Decade

Thibaut Vidal

63 papers receiving 3.6k citations

Hit Papers

A Hybrid Genetic Algorithm for Multidepot and Periodic Ve... 2012 2026 2016 2021 2012 2012 2013 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thibaut Vidal Brazil 28 3.1k 1.6k 1.2k 491 327 69 3.7k
Dominique Feillet France 37 3.5k 1.1× 1.6k 1.1× 1.3k 1.2× 340 0.7× 703 2.1× 97 4.2k
Roberto Baldacci Italy 35 3.5k 1.1× 1.8k 1.2× 1.6k 1.3× 215 0.4× 490 1.5× 108 4.2k
Juan‐José Salazar‐González Spain 34 2.7k 0.9× 1.0k 0.7× 835 0.7× 495 1.0× 436 1.3× 105 3.4k
Olli Bräysy Finland 23 3.1k 1.0× 1.6k 1.1× 1.1k 0.9× 559 1.1× 340 1.0× 40 3.5k
Anand Subramanian Brazil 29 2.0k 0.7× 1.1k 0.7× 716 0.6× 352 0.7× 350 1.1× 96 2.8k
Claudia Archetti Italy 40 4.0k 1.3× 1.8k 1.2× 1.7k 1.5× 306 0.6× 466 1.4× 133 4.8k
Eduardo Uchoa Brazil 28 2.3k 0.7× 937 0.6× 635 0.5× 318 0.6× 224 0.7× 85 2.8k
Guy Desaulniers Canada 39 3.6k 1.2× 1.5k 1.0× 879 0.8× 195 0.4× 608 1.9× 187 4.4k
Aristide Mingozzi Italy 33 3.4k 1.1× 1.7k 1.1× 1.3k 1.1× 229 0.5× 505 1.5× 49 4.0k
Christos D. Tarantilis Greece 39 2.9k 0.9× 1.2k 0.8× 896 0.8× 357 0.7× 249 0.8× 77 3.3k

Countries citing papers authored by Thibaut Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Thibaut Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thibaut Vidal. 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 Thibaut Vidal. The network helps show where Thibaut Vidal may publish in the future.

Co-authorship network of co-authors of Thibaut Vidal

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

All Works

20 of 20 papers shown
1.
Vidal, Thibaut, et al.. (2025). Adaptive Partitioning for Chance-Constrained Problems with Finite Support. SIAM Journal on Optimization. 35(1). 476–505.
2.
Schiffer, Maximilian, et al.. (2025). Support vector machines with the hard-margin loss: optimal training via combinatorial Benders’ cuts. Journal of Global Optimization. 92(1). 205–225.
3.
Gendreau, Michel, et al.. (2025). Workload equity in multiperiod vehicle routing problems. International Transactions in Operational Research. 33(1). 245–267. 1 indexed citations
4.
Archetti, Claudia, et al.. (2025). Large neighborhood and hybrid genetic search for inventory routing problems. European Journal of Operational Research.
5.
Delage, Erick, et al.. (2024). A survey of contextual optimization methods for decision-making under uncertainty. European Journal of Operational Research. 320(2). 271–289. 36 indexed citations
6.
Garcia, Joaquim Dias, et al.. (2024). Regularization and optimization in model-based clustering. Pattern Recognition. 150. 110310–110310. 7 indexed citations
7.
Martinelli, Rafael, et al.. (2023). Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. Transportation Science. 57(3). 631–646. 6 indexed citations
8.
Florio, Alexandre M., Dominique Feillet, Marcus Poggi, & Thibaut Vidal. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science. 56(5). 1393–1408. 13 indexed citations
9.
Florio, Alexandre M., Michel Gendreau, Richard F. Hartl, Stefan Minner, & Thibaut Vidal. (2022). Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut. European Journal of Operational Research. 306(3). 1081–1093. 14 indexed citations
10.
Martinelli, Rafael, et al.. (2022). Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem. Transportation Science. 57(2). 463–481. 4 indexed citations
11.
Vidal, Thibaut & Maximilian Schiffer. (2020). Born-again Tree Ensembles. PolyPublie (École Polytechnique de Montréal). 1. 9743–9753. 1 indexed citations
12.
Vidal, Thibaut, et al.. (2020). The vehicle routing problem with arrival time diversification on a multigraph. European Journal of Operational Research. 286(2). 564–575. 20 indexed citations
13.
Vidal, Thibaut. (2020). Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood. arXiv (Cornell University). 112 indexed citations
14.
Fagerholt, Kjetil, et al.. (2019). Bi-objective offshore supply vessel planning with costs and persistence objectives. Computers & Operations Research. 111. 285–296. 11 indexed citations
15.
Matl, Piotr, Richard F. Hartl, & Thibaut Vidal. (2019). Leveraging single‐objective heuristics to solve bi‐objective problems: Heuristic box splitting and its application to vehicle routing. Networks. 73(4). 382–400. 14 indexed citations
16.
Hiermann, Gerhard, Richard F. Hartl, Jakob Puchinger, & Thibaut Vidal. (2018). Routing a mix of conventional, plug-in hybrid, and electric vehicles. European Journal of Operational Research. 272(1). 235–248. 152 indexed citations
17.
Hà, Minh Hoàng, et al.. (2017). The vehicle routing problem with service level constraints. European Journal of Operational Research. 265(2). 544–558. 43 indexed citations
18.
Martinelli, Rafael, et al.. (2017). The minimum distance superset problem: formulations and algorithms. Journal of Global Optimization. 72(1). 27–53. 2 indexed citations
19.
Uchoa, Eduardo, Diego Pecin, Artur Alves Pessoa, et al.. (2016). New benchmark instances for the Capacitated Vehicle Routing Problem. European Journal of Operational Research. 257(3). 845–858. 277 indexed citations breakdown →
20.
Vidal, Thibaut, Teodor Gabriel Crainic, Michel Gendreau, & Christian Prins. (2015). Timing problems and algorithms: Time decisions for sequences of activities. Networks. 65(2). 102–128. 30 indexed citations

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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