James M. Bern

563 citations
15 papers · 401 · h-index 10

Impact in

Papers in

James M. Bern

14 papers receiving 388 citations

Peers

James M. Bern
Comparison fields: 5 of 38
  • Control and Systems Engineering 203
  • Biomedical Engineering 239
  • Condensed Matter Physics 61
  • Computer Graphics and Computer-Aided Design 16
  • Mechanical Engineering 150
Replace Mark Plecnik with:
Mark Plecnik United States
Yanzi Miao China
Jonas Zehnder Canada
Ji Yeong Lee South Korea
Jungwon Seo Hong Kong
David Brandt Denmark
Tarik Tosun United States
Pablo Ramón Soria Spain
Alexandre Campos Brazil
Mingxue Cai China
James M. Bern relative to Mark Plecnik United States Mark Plecnik's profile →
Citations per field
00.5×2.7×
Mark Plecnik · 1×
Citations per year

Countries citing papers authored by James M. Bern

Since Specialization
Citations

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

Fields of papers citing papers by James M. Bern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside James M. Bern, 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 James M. Bern Line = papers co-authored together James M. Bern links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202071
2 201955
3 201846
4 201944
5 201739
6 201836
7 201728
8 201527
9 201917
10 202116
11 20247
12 20227
13 20226
14 20222
15 20240

About James M. Bern

James M. Bern is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 401 indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Robot Manipulation and Learning (7 papers), Modular Robots and Swarm Intelligence (7 papers), Micro and Nano Robotics (4 papers), Robotic Path Planning Algorithms (3 papers), Advanced Materials and Mechanics (2 papers), Human Motion and Animation (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (203 citations), Biomedical Engineering (239 citations), Condensed Matter Physics (61 citations), Computer Graphics and Computer-Aided Design (16 citations) and Mechanical Engineering (150 citations). James M. Bern has collaborated with scholars based in Switzerland, United States and Israel. Frequent co-authors include Stelian Coros, Roi Poranne, Daniela Rus, Nitish Kumar, Kai-Hung Chang, Joohyung Kim, Alexander Alspach, Katsu Yamane, Sehoon Ha and Cynthia Sung. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Robotics and 2022 International Conference on Robotics and Automation (ICRA).

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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