Maxime Lucas

524 total citations · 1 hit paper
17 papers, 268 citations indexed

About

Maxime Lucas is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Maxime Lucas has authored 17 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 7 papers in Cognitive Neuroscience and 6 papers in Computer Networks and Communications. Recurrent topics in Maxime Lucas's work include Nonlinear Dynamics and Pattern Formation (6 papers), Neural dynamics and brain function (5 papers) and Complex Network Analysis Techniques (3 papers). Maxime Lucas is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (6 papers), Neural dynamics and brain function (5 papers) and Complex Network Analysis Techniques (3 papers). Maxime Lucas collaborates with scholars based in Italy, United Kingdom and Belgium. Maxime Lucas's co-authors include Federico Battiston, Yuanzhao Zhang, Giovanni Petri, Ross Duncan, Aneta Stefanovska, Iacopo Iacopini, Alain Barrat, Alice Patania, Enrico Amico and Andrea Santoro and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maxime Lucas

14 papers receiving 262 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.

Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes

2023 114 citations Yuanzhao Zhang, Maxime Lucas et al. Nature Communications profile →

Peers

Maxime Lucas

SNP

CNC

CN

MB

CTM

Ivan Bonamassa Israel

Ana P. Millán Spain

Vasileios Basios Belgium

Nikos E. Kouvaris Greece

S. Y. Yoon South Korea

Alice Patania United States

Gino Del Ferraro United States

Alessandro Muscoloni Germany

Dániel Ábel Hungary

Yukio-Pegio Gunji Japan

Ivan Bonamassa Israel

Maxime Lucas

299 ×2.2

SNP

162 ×2.2

CNC

81 ×1.4

CN

60 ×1.8

MB

58 ×1.8

CTM

Citations per year, relative to Maxime Lucas Maxime Lucas (= 1×) peers Ivan Bonamassa

Countries citing papers authored by Maxime Lucas

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Lucas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Lucas

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

All Works

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17 of 17 papers shown

1.

Battiston, Federico, et al.. (2025). Synergistic Signatures of Group Mechanisms in Higher-Order Systems. Physical Review Letters. 134(13). 137401–137401. 6 indexed citations

2.

Lucas, Maxime, et al.. (2025). Higher-order Laplacian renormalization. Nature Physics. 21(4). 661–668. 5 indexed citations

3.

Lucas, Maxime, et al.. (2025). Hamiltonian control to desynchronize Kuramoto oscillators with higher-order interactions. Physical review. E. 111(4). 44307–44307. 1 indexed citations

4.

Lucas, Maxime, et al.. (2025). On the state—nonstate theory of hypnosis: network and topological EEG findings. Cerebral Cortex. 35(10).

5.

Santoro, Andrea, Federico Battiston, Maxime Lucas, Giovanni Petri, & Enrico Amico. (2024). Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior. Nature Communications. 15(1). 10244–10244. 14 indexed citations

6.

Diwakar, P. G., et al.. (2024). Emotional Intelligence Levels of Teachers in Government and Private Mining Engineering Colleges of Urban and Rural Areas in Karnataka: A Comparative Study. Journal of Mines Metals and Fuels. 357–364.

7.

Zhang, Yuanzhao, Per Sebastian Skardal, Federico Battiston, Giovanni Petri, & Maxime Lucas. (2024). Deeper but smaller: Higher-order interactions increase linear stability but shrink basins. Science Advances. 10(40). eado8049–eado8049. 13 indexed citations

8.

Arnaudon, Alexis, Maxime Lucas, Robert L. Peach, et al.. (2024). A unified framework for simplicial Kuramoto models. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5). 10 indexed citations

9.

Lucas, Maxime, et al.. (2023). XGI: A Python package for higher-order interaction networks. The Journal of Open Source Software. 8(85). 5162–5162. 30 indexed citations

10.

Lucas, Maxime, et al.. (2023). Phasik: a Python package to identify system states in partially temporal networks. The Journal of Open Source Software. 8(91). 5872–5872. 1 indexed citations

11.

Lucas, Maxime, et al.. (2023). Inferring cell cycle phases from a partially temporal network of protein interactions. Cell Reports Methods. 3(2). 100397–100397. 8 indexed citations

12.

Lucas, Maxime, et al.. (2023). Simplicially driven simple contagion. Physical Review Research. 5(1). 18 indexed citations

13.

Zhang, Yuanzhao, Maxime Lucas, & Federico Battiston. (2023). Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes. Nature Communications. 14(1). 1605–1605. 114 indexed citations breakdown →

14.

Lucas, Maxime, et al.. (2021). Stabilization of cyclic processes by slowly varying forcing. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(12). 123129–123129. 7 indexed citations

15.

Lucas, Maxime, Duccio Fanelli, & Aneta Stefanovska. (2019). Nonautonomous driving induces stability in network of identical oscillators. Physical review. E. 99(1). 12309–12309. 10 indexed citations

16.

Lucas, Maxime, et al.. (2018). Stabilization of dynamics of oscillatory systems by nonautonomous perturbation. Physical review. E. 97(4). 42209–42209. 11 indexed citations

17.

Duncan, Ross & Maxime Lucas. (2014). Verifying the Steane code with Quantomatic. SHILAP Revista de lepidopterología. 171. 33–49. 20 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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