Michael Mistry

4k citations
94 papers · 3.2k · h-index 29

Impact in

Papers in

Michael Mistry

92 papers receiving 3.1k citations

Peers

Michael Mistry
Comparison fields: 5 of 73
  • Control and Systems Engineering 1.2k
  • Biomedical Engineering 1.8k
  • Artificial Intelligence 331
  • Computer Vision and Pattern Recognition 175
  • Cognitive Neuroscience 147
Replace Luis Sentis with:
Luis Sentis United States
Máximo A. Roa Germany
Michael Gienger Germany
Matei Ciocarlie United States
Juan Antonio Corrales Ramón France
Nicolas Mansard France
Mehmet R. Doğar United Kingdom
Martijn Wisse Netherlands
Thomas Wimböck Germany
Arne Roennau Germany
Michael Mistry relative to Luis Sentis United States Luis Sentis's profile →
Citations per field
00.5×1.5×
Luis Sentis · 1×
Citations per year

Countries citing papers authored by Michael Mistry

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Mistry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Mistry Line = papers co-authored together Michael Mistry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008318
2 2010262
3 2010200
4 2013159
5 2010145
6 2009135
7 2011119
8 2007115
9 200793
10 200574
11 201361
12 200858
13 201158
14 201258
15 201254
16 200649
17 201747
18 200938
19 201738
20 202038

About Michael Mistry

Michael Mistry is a scholar working on Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience, Mechanical Engineering and Artificial Intelligence, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (43 papers), Robot Manipulation and Learning (23 papers), Robotic Mechanisms and Dynamics (22 papers), Motor Control and Adaptation (9 papers), Teleoperation and Haptic Systems (8 papers), Reinforcement Learning in Robotics (6 papers), Dynamics and Control of Mechanical Systems (6 papers) and Social Robot Interaction and HRI (5 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Biomedical Engineering (1.8k citations), Artificial Intelligence (331 citations), Computer Vision and Pattern Recognition (175 citations) and Cognitive Neuroscience (147 citations). Michael Mistry has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Stefan Schaal, Jonas Buchli, Mrinal Kalakrishnan, Jan Peters, Ludovic Righetti, Peter Pástor, Rick Cory, Guiyang Xin, Hsiu-Chin Lin and Firdaus E. Udwadia. Their work appears in journals such as The International Journal of Robotics Research, Nonlinear Dynamics, IEEE Robotics and Automation Letters, Robotics and Autonomous Systems and Autonomous Robots.

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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