Maxime Lucas
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
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- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- Complex Network Analysis Techniques 4
- Opinion Dynamics and Social Influence 4
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- Neural dynamics and brain function 5
- Functional Brain Connectivity Studies 3
- Co-authors
- Federico Battiston (5 shared papers)Yuanzhao Zhang (3 shared papers)Giovanni Petri (8 shared papers)Aneta Stefanovska (3 shared papers)Ross Duncan (1 shared paper)Iacopo Iacopini (2 shared papers)Andrea Santoro (1 shared paper)Alice Patania (1 shared paper)
- Journals
- Nature Communications (3 papers)Physical review. E (3 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)Nature Physics (1 paper)Physical Review Research (1 paper)
- Partner nations
- ItalyUnited KingdomBelgium
In The Last Decade
Maxime Lucas
15 papers receiving 308 citations
Maxime Lucas's Hit Papers
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 155
- Cognitive Neuroscience 70
- Computer Networks and Communications 87
- Computational Mathematics 2
- Modeling and Simulation 14
Countries citing papers authored by Maxime Lucas
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
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-authors
The 25 scholars most cited alongside Maxime Lucas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes Hit paper breakdown → | 2023 | 128 |
| 2 | 2023 | 33 | |
| 3 | 2024 | 26 | |
| 4 | 2014 | 20 | |
| 5 | 2023 | 18 | |
| 6 | 2024 | 18 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2025 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 |
About Maxime Lucas
Maxime Lucas is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Biomedical Engineering and Molecular Biology, having authored 19 papers that have together received 315 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (6 papers), Neural dynamics and brain function (5 papers), Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Slime Mold and Myxomycetes Research (3 papers), Functional Brain Connectivity Studies (3 papers), Data Visualization and Analytics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (155 citations), Cognitive Neuroscience (70 citations), Computer Networks and Communications (87 citations), Computational Mathematics (2 citations) and Modeling and Simulation (14 citations). Maxime Lucas has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Federico Battiston, Yuanzhao Zhang, Giovanni Petri, Aneta Stefanovska, Ross Duncan, Iacopo Iacopini, Andrea Santoro, Alice Patania, Alain Barrat and Enrico Amico. Their work appears in journals such as Nature Communications, Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science, Nature Physics and Physical Review Research.
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.