Valentin Dalibard

3.9k total citations
9 papers, 119 citations indexed

About

Valentin Dalibard is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Valentin Dalibard has authored 9 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Hardware and Architecture. Recurrent topics in Valentin Dalibard's work include Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Valentin Dalibard is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Valentin Dalibard collaborates with scholars based in United Kingdom, Germany and United States. Valentin Dalibard's co-authors include Eiko Yoneki, Amitabha Roy, Tom Zahavy, Tom Schaul, Yutian Chen, Chenjie Gu, Tim Harley, Ang Li, Robert Tjarko Lange and David Budden and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Proceedings of the Genetic and Evolutionary Computation Conference and CL Technical Reports.

In The Last Decade

Valentin Dalibard

7 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valentin Dalibard United Kingdom	5	64	50	39	25	24	9	119
Rajesh K. Karmani United States	5	50 0.8×	103 2.1×	30 0.8×	67 2.7×	7 0.3×	8	133
Sela Mador-Haim United States	4	51 0.8×	48 1.0×	62 1.6×	54 2.2×	5 0.2×	7	145
Victor Vu United States	5	206 3.2×	46 0.9×	79 2.0×	26 1.0×	11 0.5×	7	229
Vishal Saraswat India	8	94 1.5×	23 0.5×	34 0.9×	24 1.0×	36 1.5×	17	127
Sigrid Gürgens Germany	8	81 1.3×	62 1.2×	68 1.7×	12 0.5×	6 0.3×	19	137
Fabian Boemer United States	7	174 2.7×	26 0.5×	35 0.9×	14 0.6×	43 1.8×	8	218
Ileana Ober France	7	57 0.9×	28 0.6×	37 0.9×	42 1.7×	4 0.2×	21	147
Marc Stevens Netherlands	7	87 1.4×	36 0.7×	65 1.7×	12 0.5×	58 2.4×	20	217
Riadh Robbana Tunisia	6	31 0.5×	46 0.9×	35 0.9×	15 0.6×	10 0.4×	37	84
Yiqun Lisa Yin China	8	75 1.2×	52 1.0×	16 0.4×	10 0.4×	36 1.5×	19	127

Countries citing papers authored by Valentin Dalibard

Since Specialization

Citations

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

Fields of papers citing papers by Valentin Dalibard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Dalibard

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

All Works

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9 of 9 papers shown

1.

Bauzá, Maria, Jingyi Chen, Valentin Dalibard, et al.. (2025). DemoStart: Demonstration-Led Auto-Curriculum Applied to Sim-to-Real with Multi-Fingered Robots. 6756–6763.

2.

Lange, Robert Tjarko, et al.. (2023). Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 929–937. 10 indexed citations

3.

Lange, Robert Tjarko, et al.. (2023). Discovering Evolution Strategies via Meta-Black-Box Optimization. 29–30. 12 indexed citations

4.

Roy, Amitabha, et al.. (2021). Mitigating I/O latency in SSD-based graph traversal. CL Technical Reports.

5.

Dalibard, Valentin. (2021). A framework to build bespoke auto-tuners with structured Bayesian optimisation. CL Technical Reports. 1 indexed citations

6.

Li, Ang, Sagi Perel, Valentin Dalibard, et al.. (2019). A Generalized Framework for Population Based Training. 1791–1799. 26 indexed citations

7.

Dalibard, Valentin, et al.. (2017). BOAT. 479–488. 44 indexed citations

8.

Dalibard, Valentin, et al.. (2014). PrefEdge. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–12. 25 indexed citations

9.

Dalibard, Valentin & Eiko Yoneki. (2012). Community Detection in Multi-Layer Networks. 1 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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