Máximo A. Roa

4.0k total citations
123 papers, 2.6k citations indexed

About

Máximo A. Roa is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Máximo A. Roa has authored 123 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Control and Systems Engineering, 69 papers in Biomedical Engineering and 30 papers in Mechanical Engineering. Recurrent topics in Máximo A. Roa's work include Robot Manipulation and Learning (81 papers), Soft Robotics and Applications (33 papers) and Robotic Mechanisms and Dynamics (26 papers). Máximo A. Roa is often cited by papers focused on Robot Manipulation and Learning (81 papers), Soft Robotics and Applications (33 papers) and Robotic Mechanisms and Dynamics (26 papers). Máximo A. Roa collaborates with scholars based in Germany, Spain and Italy. Máximo A. Roa's co-authors include Raúl Suárez, Christian Ott, Bernd Henze, Alin Albu‐Schäffer, Johannes Englsberger, Gerd Hirzinger, Christoph Borst, A. Werner, G. Hirzinger and Werner Friedl and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Máximo A. Roa

113 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Máximo A. Roa Germany 25 1.8k 1.6k 448 330 239 123 2.6k
Ludovic Righetti United States 34 2.3k 1.3× 1.8k 1.1× 444 1.0× 403 1.2× 347 1.5× 113 3.6k
Michael Gienger Germany 29 1.1k 0.6× 1.5k 0.9× 248 0.6× 561 1.7× 209 0.9× 101 2.3k
G. Hirzinger Germany 27 1.7k 1.0× 2.0k 1.2× 864 1.9× 638 1.9× 258 1.1× 91 3.2k
Jaeheung Park South Korea 23 1.1k 0.6× 1.3k 0.8× 492 1.1× 413 1.3× 110 0.5× 160 2.0k
Michael Mistry United Kingdom 26 1.8k 1.0× 1.6k 1.0× 459 1.0× 380 1.2× 152 0.6× 80 2.6k
Luis Sentis United States 20 1.8k 1.0× 1.5k 0.9× 441 1.0× 377 1.1× 126 0.5× 102 2.5k
Gill A. Pratt United States 21 3.2k 1.8× 1.6k 1.0× 586 1.3× 245 0.7× 209 0.9× 39 3.9k
Sang–Rok Oh South Korea 24 966 0.5× 1.3k 0.8× 524 1.2× 444 1.3× 164 0.7× 218 2.2k
Katsu Yamane United States 30 1.6k 0.9× 1.8k 1.1× 294 0.7× 936 2.8× 281 1.2× 138 2.9k
Hirohiko Arai Japan 22 1.3k 0.7× 1.5k 0.9× 656 1.5× 394 1.2× 136 0.6× 111 2.4k

Countries citing papers authored by Máximo A. Roa

Since Specialization
Citations

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

Fields of papers citing papers by Máximo A. Roa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máximo A. Roa. 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 Máximo A. Roa. The network helps show where Máximo A. Roa may publish in the future.

Co-authorship network of co-authors of Máximo A. Roa

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

All Works

20 of 20 papers shown
1.
Sun, Yu, Berk Çallı, Francis wyffels, et al.. (2024). Robotic Grasping and Manipulation Competition at the 2024 IEEE/RAS International Conference on Robotics and Automation [Competitions]. IEEE Robotics & Automation Magazine. 31(4). 174–185.
2.
Martínez-Cantín, Rubén, et al.. (2024). Bayesian Optimization for Robust Robotic Grasping Using a Sensorized Compliant Hand. IEEE Robotics and Automation Letters. 9(11). 10503–10510. 1 indexed citations
3.
D’Avella, Salvatore, et al.. (2023). The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation: Evaluating the Perception, Planning, Control, and Grasping of Manipulation Systems. IEEE Robotics & Automation Magazine. 31(4). 45–58. 7 indexed citations
4.
Lehner, Peter, et al.. (2023). CollisionGP: Gaussian Process-Based Collision Checking for Robot Motion Planning. IEEE Robotics and Automation Letters. 8(7). 4036–4043. 7 indexed citations
5.
Liu, Wei, Yuzhe Qin, Fanbo Xiang, et al.. (2021). OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. IEEE Robotics and Automation Letters. 7(1). 486–493. 33 indexed citations
6.
Sun, Yu, Joe Falco, Máximo A. Roa, & Berk Çallı. (2021). Research Challenges and Progress in Robotic Grasping and Manipulation Competitions. IEEE Robotics and Automation Letters. 7(2). 874–881. 42 indexed citations
7.
Friedl, Werner & Máximo A. Roa. (2021). Experimental Evaluation of Tactile Sensors for Compliant Robotic Hands. Frontiers in Robotics and AI. 8. 704416–704416. 7 indexed citations
8.
Kheddar, Abderrahmane, Máximo A. Roa, Pierre-Brice Wieber, et al.. (2019). Humanoid Robots in Aircraft Manufacturing: The Airbus Use Cases. IEEE Robotics & Automation Magazine. 26(4). 30–45. 59 indexed citations
9.
Bekiroglu, Yasemin, Naresh Marturi, Máximo A. Roa, et al.. (2019). Benchmarking Protocol for Grasp Planning Algorithms. IEEE Robotics and Automation Letters. 5(2). 315–322. 24 indexed citations
10.
Perzylo, Alexander, Markus Rickert, Nikhil Somani, et al.. (2019). SMErobotics: Smart Robots for Flexible Manufacturing. IEEE Robotics & Automation Magazine. 26(1). 78–90. 61 indexed citations
11.
Biannic, Jean‐Marc, et al.. (2019). Autonomous assembly of large structures in space: a technology review. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
12.
Henze, Bernd, Ribin Balachandran, Máximo A. Roa, Christian Ott, & Alin Albu‐Schäffer. (2018). Passivity Analysis and Control of Humanoid Robots on Movable Ground. IEEE Robotics and Automation Letters. 3(4). 3457–3464. 12 indexed citations
13.
Harada, Kensuke, Máximo A. Roa, & Akihiko Yamaguchi. (2017). Special issue on advanced manipulation. Advanced Robotics. 31(19-20). 1029–1029. 1 indexed citations
14.
Kaßecker, Michael, et al.. (2016). A Complete Automated Chain for Flexible Assembly using Recognition, Planning and Sensor-Based Execution. elib (German Aerospace Center). 1–8. 13 indexed citations
15.
Gijsberts, Arjan, David González, A. Werner, et al.. (2014). Stable myoelectric control of a hand prosthesis using non-linear incremental learning. Frontiers in Neurorobotics. 8. 8–8. 101 indexed citations
16.
Kopicki, Marek, Rustam Stolkin, Christoph Borst, et al.. (2013). Sequential trajectory re-planning with tactile information gain for dexterous grasping under object-pose uncertainty. elib (German Aerospace Center). 4013–4020. 10 indexed citations
17.
Hertkorn, Katharina, Máximo A. Roa, Carsten Preusche, Christoph Borst, & Gerd Hirzinger. (2012). Identification of contact formations: Resolving ambiguous force torque information. elib (German Aerospace Center). 3278–3284. 12 indexed citations
18.
Roa, Máximo A., et al.. (2008). Factores que influyen en el crecimiento endocondral: experimentos y modelos. 22(1). 0–0. 4 indexed citations
19.
Garzón–Alvarado, Diego Alexander, et al.. (2008). Predicción del proceso de remodelación ósea para diferentes implantes de cadera al utilizar optimización topológica. 22(2). 0–0.
20.
Roa, Máximo A., et al.. (2005). Modelamiento de la marcha humana por medio de gráficos de unión. Tecnura. 8(16). 26–42. 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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