João Ramos

648 total citations · 1 hit paper
26 papers, 392 citations indexed

About

João Ramos is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, João Ramos has authored 26 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 10 papers in Control and Systems Engineering and 6 papers in Mechanical Engineering. Recurrent topics in João Ramos's work include Robotic Locomotion and Control (19 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Muscle activation and electromyography studies (7 papers). João Ramos is often cited by papers focused on Robotic Locomotion and Control (19 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Muscle activation and electromyography studies (7 papers). João Ramos collaborates with scholars based in United States, South Korea and France. João Ramos's co-authors include Sangbae Kim, Albert Wang, Eiichi Yoshida, Jerry Pratt, Luigi Penco, Daniele Pucci, Serena Ivaldi, Kourosh Darvish, Rafael Cisneros and Marco Antônio Meggiolaro and has published in prestigious journals such as IEEE Transactions on Robotics, Science Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

João Ramos

21 papers receiving 376 citations

Hit Papers

Teleoperation of Humanoid Robots: A Survey 2023 2026 2024 2025 2023 25 50 75
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.

  1. Teleoperation of Humanoid Robots: A Survey
    2023 98 citations Kourosh Darvish, Luigi Penco et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Ramos United States 11 262 183 115 52 52 26 392
María Pozzi Italy 13 252 1.0× 253 1.4× 118 1.0× 72 1.4× 35 0.7× 38 449
Chiharu Ishii Japan 11 244 0.9× 155 0.8× 84 0.7× 78 1.5× 47 0.9× 77 393
Maged Iskandar Germany 12 119 0.5× 216 1.2× 141 1.2× 48 0.9× 37 0.7× 19 326
Yasuo HAYASHIBARA Japan 7 172 0.7× 220 1.2× 126 1.1× 85 1.6× 41 0.8× 39 333
Elahe Abdi Australia 10 129 0.5× 93 0.5× 82 0.7× 77 1.5× 38 0.7× 30 326
Tetsuya Morizono Japan 12 311 1.2× 300 1.6× 119 1.0× 129 2.5× 46 0.9× 37 479
Abdeldjallil Naceri Germany 11 197 0.8× 134 0.7× 85 0.7× 142 2.7× 109 2.1× 40 444
Tadashi Odashima Japan 8 248 0.9× 157 0.9× 97 0.8× 110 2.1× 42 0.8× 27 416
Milad Geravand Germany 10 208 0.8× 200 1.1× 103 0.9× 24 0.5× 26 0.5× 14 401
Eric Kubica Canada 12 227 0.9× 86 0.5× 92 0.8× 55 1.1× 29 0.6× 22 394

Countries citing papers authored by João Ramos

Since Specialization
Citations

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

Fields of papers citing papers by João Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of João Ramos. A scholar is included among the top collaborators of João Ramos 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 João Ramos. João Ramos 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.
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Ramos, João, et al.. (2024). Driving a Ballbot Wheelchair with Hands-Free Torso Control. 678–686. 1 indexed citations
3.
Peng, Bo, et al.. (2024). Online Learning-Based Inertial Parameter Identification of Unknown Object for Model-Based Control of Wheeled Humanoids. IEEE Robotics and Automation Letters. 9(12). 11154–11161.
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6.
Darvish, Kourosh, Luigi Penco, João Ramos, et al.. (2023). Teleoperation of Humanoid Robots: A Survey. IEEE Transactions on Robotics. 39(3). 1706–1727. 98 indexed citations breakdown →
7.
Ramos, João, et al.. (2023). Dynamic Mobile Manipulation via Whole-Body Bilateral Teleoperation of a Wheeled Humanoid. IEEE Robotics and Automation Letters. 9(2). 1214–1221. 9 indexed citations
8.
Ramos, João, et al.. (2023). A Large Force Haptic Interface with Modular Linear Actuators. Actuators. 12(7). 293–293. 2 indexed citations
9.
Chang, Y. C., et al.. (2023). A Study of Shared-Control With Bilateral Feedback for Obstacle Avoidance in Whole-Body Telelocomotion of a Wheeled Humanoid. IEEE Robotics and Automation Letters. 8(11). 6979–6986. 2 indexed citations
10.
Ramos, João, et al.. (2022). Tello Leg: The Study of Design Principles and Metrics for Dynamic Humanoid Robots. IEEE Robotics and Automation Letters. 7(4). 9318–9325. 24 indexed citations
11.
Ramos, João, et al.. (2022). Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9347–9354. 10 indexed citations
12.
Ramos, João, et al.. (2021). Dynamic Locomotion Teleoperation of a Reduced Model of a Wheeled Humanoid Robot Using a Whole-Body Human-Machine Interface. IEEE Robotics and Automation Letters. 7(2). 1872–1879. 11 indexed citations
13.
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Ramos, João, et al.. (2021). HOPPY: An Open-source Kit for Education with Dynamic Legged Robots. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7 indexed citations
15.
Ramos, João & Sangbae Kim. (2018). Humanoid Dynamic Synchronization Through Whole-Body Bilateral Feedback Teleoperation. IEEE Transactions on Robotics. 34(4). 953–965. 36 indexed citations
16.
Ramos, João & Sangbae Kim. (2018). Dynamic Bilateral Teleoperation of the Cart-Pole: A Study Toward the Synchronization of Human Operator and Legged Robot. IEEE Robotics and Automation Letters. 3(4). 3293–3299. 20 indexed citations
17.
Ramos, João, Benjamin Katz, Meng Yee Chuah, & Sangbae Kim. (2018). Facilitating Model-Based Control Through Software-Hardware Co-Design. 566–572. 18 indexed citations
18.
Ramos, João, Albert Wang, & Sangbae Kim. (2015). A Balance Feedback Human Machine Interface for humanoid teleoperation in dynamic tasks. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations
19.
Wang, Albert, et al.. (2015). The HERMES humanoid system: A platform for full-body teleoperation with balance feedback. 730–737. 40 indexed citations
20.
Ramos, João & Marco Antônio Meggiolaro. (2014). Use of surface electromyography for human amplification using an exoskeleton driven by artificial pneumatic muscles. 585–590. 15 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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