Maximilien Naveau

689 total citations
10 papers, 142 citations indexed

About

Maximilien Naveau is a scholar working on Biomedical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Maximilien Naveau has authored 10 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Control and Systems Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Maximilien Naveau's work include Robotic Locomotion and Control (7 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Modular Robots and Swarm Intelligence (2 papers). Maximilien Naveau is often cited by papers focused on Robotic Locomotion and Control (7 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Modular Robots and Swarm Intelligence (2 papers). Maximilien Naveau collaborates with scholars based in France, Germany and United States. Maximilien Naveau's co-authors include Olivier Stasse, Philippe Souères, Katja Mombaur, Christian Kirches, Michel Taïx, Nicolas Mansard, Guilhem Saurel, Pierre Fernbach, Albert Mukovskiy and Debora Clever and has published in prestigious journals such as Robotics and Autonomous Systems, IEEE Robotics and Automation Letters and Frontiers in Robotics and AI.

In The Last Decade

Maximilien Naveau

10 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maximilien Naveau France	6	114	55	26	18	16	10	142
Andreea Radulescu United Kingdom	8	153 1.3×	77 1.4×	26 1.0×	14 0.8×	30 1.9×	11	198
Yukai Gong United States	5	210 1.8×	82 1.5×	34 1.3×	28 1.6×	31 1.9×	7	235
Jesper Smith United States	5	182 1.6×	85 1.5×	29 1.1×	4 0.2×	30 1.9×	6	214
Nicholas Rotella Germany	4	149 1.3×	115 2.1×	17 0.7×	9 0.5×	30 1.9×	6	191
Hervé Audren France	6	179 1.6×	126 2.3×	36 1.4×	8 0.4×	19 1.2×	8	203
Matthew Chignoli United States	8	214 1.9×	118 2.1×	51 2.0×	21 1.2×	47 2.9×	10	272
Pierre Fernbach France	8	140 1.2×	97 1.8×	104 4.0×	25 1.4×	12 0.8×	10	194
Hyun-Min Joe South Korea	5	204 1.8×	86 1.6×	31 1.2×	3 0.2×	39 2.4×	14	233
K. Mitobe Japan	9	266 2.3×	141 2.6×	22 0.8×	16 0.9×	39 2.4×	16	315
Jeremy Dao United States	9	150 1.3×	55 1.0×	18 0.7×	59 3.3×	11 0.7×	11	169

Countries citing papers authored by Maximilien Naveau

Since Specialization

Citations

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

Fields of papers citing papers by Maximilien Naveau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilien Naveau

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

All Works

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10 of 10 papers shown

1.

Rotella, Nicholas, et al.. (2023). On the Use of Torque Measurement in Centroidal State Estimation. 9931–9937. 3 indexed citations

2.

Naveau, Maximilien, Pierre Fernbach, Guilhem Saurel, et al.. (2022). Whole-Body Model Predictive Control for Biped Locomotion on a Torque-Controlled Humanoid Robot. 638–644. 28 indexed citations

3.

Fernbach, Pierre, et al.. (2022). Torque Controlled Locomotion of a Biped Robot with Link Flexibility. arXiv (Cornell University). 101. 9–16. 4 indexed citations

4.

Berenz, Vincent, et al.. (2021). The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes. The Journal of Open Source Software. 6(66). 2752–2752. 2 indexed citations

5.

Grimminger, Felix, Maximilien Naveau, Ludovic Righetti, et al.. (2020). A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. 6 indexed citations

6.

Stasse, Olivier, et al.. (2018). Benchmarking the HRP-2 Humanoid Robot During Locomotion. Frontiers in Robotics and AI. 5. 122–122. 8 indexed citations

7.

Mukovskiy, Albert, et al.. (2017). Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems. 91. 270–283. 16 indexed citations

8.

Clever, Debora, et al.. (2017). COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2. IEEE Robotics and Automation Letters. 2(2). 977–984. 17 indexed citations

9.

Naveau, Maximilien, et al.. (2016). A Reactive Walking Pattern Generator Based on Nonlinear Model Predictive Control. IEEE Robotics and Automation Letters. 2(1). 10–17. 56 indexed citations

10.

Naveau, Maximilien, et al.. (2013). MARIUS project: Design of a sail robot for oceanographic missions. 2013 OCEANS - San Diego. 1–6. 2 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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