M.D. Berkemeier

32 papers receiving 556 citations

Peers

M.D. Berkemeier
Comparison fields: 5 of 52
  • Control and Systems Engineering 325
  • Aerospace Engineering 222
  • Biomedical Engineering 367
  • Ocean Engineering 95
  • Computer Vision and Pattern Recognition 107
Replace Duncan W. Haldane with:
Duncan W. Haldane United States
J. Estremera Spain
Fabien Tâche Switzerland
Guanghua Zong China
Matteo-Claudio Palpacelli Italy
Vilas K. Chitrakaran United States
Michael Garrett United States
Fumiaki Takemura Japan
Mathieu Porez France
Takateru Urakubo Japan
M.D. Berkemeier relative to Duncan W. Haldane United States Duncan W. Haldane's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.D. Berkemeier

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Berkemeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.D. Berkemeier. 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 M.D. Berkemeier. The network helps show where M.D. Berkemeier may publish in the future.

Co-authors

The 12 scholars most cited alongside M.D. Berkemeier, 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 M.D. Berkemeier Line = papers co-authored together M.D. Berkemeier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999123
2 1998106
3 199885
4 199868
5 200232
6 200223
7 200217
8 200213
9 200211
10 200311
11 200810
12 200310
13 200310
14 20069
15 20068
16
Nonlinear control of a two-link hopping robot
19937
17 19937
18 20027
19 20046
20 20025

About M.D. Berkemeier

M.D. Berkemeier is a scholar working on Control and Systems Engineering, Biomedical Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 32 papers that have together received 600 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (16 papers), Control and Dynamics of Mobile Robots (13 papers), Robotic Path Planning Algorithms (11 papers), Biomimetic flight and propulsion mechanisms (8 papers), Vehicle Dynamics and Control Systems (5 papers), Robotics and Sensor-Based Localization (4 papers), Modular Robots and Swarm Intelligence (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Control and Systems Engineering (325 citations), Aerospace Engineering (222 citations), Biomedical Engineering (367 citations), Ocean Engineering (95 citations) and Computer Vision and Pattern Recognition (107 citations). M.D. Berkemeier has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Ronald S. Fearing, Karen A. Harper, Sheryl M. Grace, Andrew Smith, Lei Ma, Lili Ma, YangQuan Chen, Kevin L. Moore, David M. Bevly and Lili Ma. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research, IEEE Journal of Oceanic Engineering and International Journal of Robotics and Automation.

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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