Peter Berkelman

55 papers receiving 1.0k citations

Peers

Peter Berkelman
Comparison fields: 5 of 77
  • Human-Computer Interaction 138
  • Control and Systems Engineering 326
  • Biomedical Engineering 594
  • Cognitive Neuroscience 206
  • Mechanical Engineering 329
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Mohsen Mahvash United States
Kourosh Zareinia Canada
Ana Luisa Trejos Canada
Panadda Marayong United States
Evren Samur Türkiye
H. Hawkeye King United States
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Citations per year

Countries citing papers authored by Peter Berkelman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Berkelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003131
2 201185
3 200973
4 200270
5 200060
6 200348
7 200446
8 200240
9 200335
10 200734
11 199632
12 200627
13 201424
14 200223
15 200222
16 200320
17 200519
18
Tool-based haptic interaction with dynamic physical simulations using lorentz magnetic levitation
199919
19 201718
20 201217

About Peter Berkelman

Peter Berkelman is a scholar working on Biomedical Engineering, Mechanical Engineering, Cognitive Neuroscience, Surgery and Control and Systems Engineering, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Soft Robotics and Applications (26 papers), Teleoperation and Haptic Systems (22 papers), Tactile and Sensory Interactions (18 papers), Surgical Simulation and Training (16 papers), Magnetic Bearings and Levitation Dynamics (9 papers), Inertial Sensor and Navigation (6 papers), Augmented Reality Applications (6 papers) and Virtual Reality Applications and Impacts (5 papers). The work is most often cited by research in Human-Computer Interaction (138 citations), Control and Systems Engineering (326 citations), Biomedical Engineering (594 citations), Cognitive Neuroscience (206 citations) and Mechanical Engineering (329 citations). Peter Berkelman has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Ralph Hollis, Ji Ma, Russell H. Taylor, Louis L. Whitcomb, Peter S. Jensen, Jocelyne Troccaz, Philippe Cinquin, Muneaki Miyasaka, Christian Létoublon and Roberta L. Klatzky. Their work appears in journals such as The International Journal of Robotics Research, IEEE Magnetics Letters, Computer Aided Surgery, IEEE Transactions on Robotics and Automation and Journal of Endourology.

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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