J. Michael McCarthy

6.7k citations
231 papers · 4.5k · h-index 32

Impact in

Papers in

J. Michael McCarthy

222 papers receiving 4.3k citations

Peers

J. Michael McCarthy
Comparison fields: 5 of 175
  • Control and Systems Engineering 2.5k
  • Industrial and Manufacturing Engineering 517
  • Mechanical Engineering 1.1k
  • Biomedical Engineering 1.2k
  • Computational Mechanics 587
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Citations per field
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Citations per year

Countries citing papers authored by J. Michael McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Michael McCarthy, 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 J. Michael McCarthy Line = papers co-authored together J. Michael McCarthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003386
2 2000373
3 2010212
4 1995201
5 2003158
6 2000130
7 1989115
8 2003104
9 199877
10 198871
11 198864
12 199954
13 198151
14 200251
15 200750
16 198547
17 200646
18 198545
19
Dynamics of Software Development
199545
20 199844

About J. Michael McCarthy

J. Michael McCarthy is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 231 papers that have together received 4.5k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (141 papers), Robot Manipulation and Learning (47 papers), Advanced Numerical Analysis Techniques (35 papers), Manufacturing Process and Optimization (33 papers), Soft Robotics and Applications (24 papers), Robotic Path Planning Algorithms (22 papers), Modular Robots and Swarm Intelligence (18 papers) and Dynamics and Control of Mechanical Systems (18 papers). The work is most often cited by research in Control and Systems Engineering (2.5k citations), Industrial and Manufacturing Engineering (517 citations), Mechanical Engineering (1.1k citations), Biomedical Engineering (1.2k citations) and Computational Mechanics (587 citations). J. Michael McCarthy has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Gim Song Soh, Alba Pérez-Gracia, Hai‐Jun Su, Mark Plecnik, Gordon R. Pennock, Joseph Edward Shigley, John J. Uicker, Robert L. Norton, John C. Kramlich and J.A. Cole. Their work appears in journals such as Journal of Mechanical Design, Mechanism and Machine Theory, Journal of Mechanisms and Robotics, Journal of Computing and Information Science in Engineering and Journal of Applied Mechanics.

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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