Mark A. Minor

1.9k citations
97 papers · 1.5k · h-index 20

Impact in

Papers in

Mark A. Minor

93 papers receiving 1.4k citations

Peers

Mark A. Minor
Comparison fields: 5 of 97
  • Control and Systems Engineering 673
  • Computer Vision and Pattern Recognition 417
  • Biomedical Engineering 846
  • Human-Computer Interaction 82
  • Mechanical Engineering 416
Replace Pinhas Ben‐Tzvi with:
Pinhas Ben‐Tzvi United States
Kenjiro Tadakuma Japan
Evangelos Papadopoulos Greece
Gen Endo Japan
Sungchul Kang South Korea
Raffaella Carloni Netherlands
Aiguo Ming Japan
Kok-Meng Lee United States
Chee–Meng Chew Singapore
Paolo Gallina Italy
Mark A. Minor relative to Pinhas Ben‐Tzvi United States Pinhas Ben‐Tzvi's profile →
Citations per field
00.5×1.5×
Pinhas Ben‐Tzvi · 1×
Citations per year

Countries citing papers authored by Mark A. Minor

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Minor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012134
2 2002114
3 200295
4 200383
5 201865
6 200861
7 200255
8 201152
9 201639
10 200837
11 200628
12 200328
13 201527
14 201027
15 200326
16 200625
17 200223
18 200422
19 200622
20 200720

About Mark A. Minor

Mark A. Minor is a scholar working on Biomedical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace Engineering, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (38 papers), Control and Dynamics of Mobile Robots (34 papers), Robotic Path Planning Algorithms (25 papers), Soft Robotics and Applications (16 papers), Vehicle Dynamics and Control Systems (12 papers), Modular Robots and Swarm Intelligence (12 papers), Dynamics and Control of Mechanical Systems (9 papers) and Prosthetics and Rehabilitation Robotics (8 papers). The work is most often cited by research in Control and Systems Engineering (673 citations), Computer Vision and Pattern Recognition (417 citations), Biomedical Engineering (846 citations), Human-Computer Interaction (82 citations) and Mechanical Engineering (416 citations). Mark A. Minor has collaborated with scholars based in United States, China and India. Frequent co-authors include Ranjan Mukherjee, Jay T. Pukrushpan, Youngshik Kim, R. Lal Tummala, Jake J. Abbott, Dean M. Aslam, Yue Wang, Sanford G. Meek, Erik D. Engeberg and Jizhong Xiao. Their work appears in journals such as IEEE Transactions on Robotics, The International Journal of Robotics Research, IEEE/ASME Transactions on Mechatronics, Journal of Mechanical Design and IEEE Robotics and Automation Letters.

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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