Lucas Leclerc

494 total citations · 1 hit paper
8 papers, 282 citations indexed

About

Lucas Leclerc is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Lucas Leclerc has authored 8 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Lucas Leclerc's work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (3 papers) and Cold Atom Physics and Bose-Einstein Condensates (2 papers). Lucas Leclerc is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (3 papers) and Cold Atom Physics and Bose-Einstein Condensates (2 papers). Lucas Leclerc collaborates with scholars based in France, United States and Spain. Lucas Leclerc's co-authors include Guillaume Bornet, Khyati Meghani, Marcus Bintz, Pascal Scholl, Young Eun Choi, Ursula A. Matulonis, Yizhou He, Karin Shih, Andreas M. Läuchli and Thierry Lahaye and has published in prestigious journals such as Nature, Cell Reports and The European Physical Journal A.

In The Last Decade

Lucas Leclerc

7 papers receiving 275 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Continuous symmetry breaking in a two-dimensional Rydberg array

2023 108 citations Cheng Chen, Guillaume Bornet et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lucas Leclerc France	5	117	89	79	69	35	8	282
Benjamin H. Hinrichs United States	11	98 0.8×	135 1.5×	50 0.6×	118 1.7×	26 0.7×	31	446
Michael Ridley United Kingdom	13	132 1.1×	149 1.7×	31 0.4×	50 0.7×	50 1.4×	19	468
Kohtaro Kato Japan	12	174 1.5×	75 0.8×	100 1.3×	37 0.5×	12 0.3×	31	340
Hsiao-Mei Lu United States	10	96 0.8×	147 1.7×	14 0.2×	10 0.1×	37 1.1×	12	314
Takeshi Fukaya Japan	9	26 0.2×	91 1.0×	19 0.2×	35 0.5×	7 0.2×	36	263
David Peter Germany	8	258 2.2×	27 0.3×	104 1.3×	13 0.2×	17 0.5×	18	409
Seong Jun Cho South Korea	8	95 0.8×	205 2.3×	10 0.1×	96 1.4×	49 1.4×	19	398
Jorge Fernández-de-Cossio-Díaz France	12	40 0.3×	218 2.4×	26 0.3×	25 0.4×	37 1.1×	22	332
Gengyan Zhang China	7	108 0.9×	42 0.5×	90 1.1×	15 0.2×	10 0.3×	10	188
Miroslav Urbánek United States	7	151 1.3×	22 0.2×	146 1.8×	8 0.1×	21 0.6×	11	247

Countries citing papers authored by Lucas Leclerc

Since Specialization

Citations

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

Fields of papers citing papers by Lucas Leclerc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Leclerc

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

All Works

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8 of 8 papers shown

1.

Leclerc, Lucas, et al.. (2025). Analog QAOA with Bayesian optimisation on a neutral atom QPU. EPJ Quantum Technology. 13(1).

2.

Leclerc, Lucas, et al.. (2025). Implementing transferable annealing protocols for combinatorial optimization on neutral-atom quantum processors: A case study on smart charging of electric vehicles. Physical review. A. 111(3). 4 indexed citations

3.

Leclerc, Lucas, et al.. (2024). Graph algorithms with neutral atom quantum processors. The European Physical Journal A. 60(9). 8 indexed citations

4.

Albrecht, Boris, Lucas Leclerc, Slimane Thabet, et al.. (2023). Quantum feature maps for graph machine learning on a neutral atom quantum processor. Physical review. A. 107(4). 16 indexed citations

5.

Chen, Cheng, Guillaume Bornet, Marcus Bintz, et al.. (2023). Continuous symmetry breaking in a two-dimensional Rydberg array. Nature. 616(7958). 691–695. 108 indexed citations breakdown →

6.

Leclerc, Lucas, et al.. (2022). Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays. Quantum. 6. 629–629. 35 indexed citations

7.

Leclerc, Lucas, et al.. (2016). The Impact of Diet on Insulin Dynamics over a 2-Year Period in Children with a Family History of Obesity. 86. 2 indexed citations

8.

Choi, Young Eun, Khyati Meghani, Lucas Leclerc, et al.. (2016). Platinum and PARP Inhibitor Resistance Due to Overexpression of MicroRNA-622 in BRCA1-Mutant Ovarian Cancer. Cell Reports. 14(3). 429–439. 109 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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