Benjamin Johnson

25 papers receiving 384 citations

Peers

Benjamin Johnson
Comparison fields: 5 of 64
  • Condensed Matter Physics 183
  • Software 23
  • Mechanical Engineering 156
  • Biomedical Engineering 176
  • Computational Theory and Mathematics 39
Replace Haruhisa Kurokawa with:
Haruhisa Kurokawa Japan
M. Last United States
Laurent Arcese France
Felix Becker Germany
Matthieu Fruchard France
Min Tan China
Xiaopeng Yu China
Richard Gourdeau Canada
Huifang Dong China
Paolo Corradi Italy
Benjamin Johnson relative to Haruhisa Kurokawa Japan Haruhisa Kurokawa's profile →
Citations per field
00.5×11.5×
Haruhisa Kurokawa · 1×
Citations per year

Countries citing papers authored by Benjamin Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201858
3 202154
4 201740
5 202035
6 201123
7 201921
8 200918
9 202014
10 201710
11 20128
12
Coordinating Robot Teams for Disaster Relief
20156
13 20096
14 20125
15 20155
16 20094
17 20133
18 20203
19 20163
20 20192

About Benjamin Johnson

Benjamin Johnson is a scholar working on Biomedical Engineering, Computational Theory and Mathematics, Condensed Matter Physics, Mechanical Engineering and Artificial Intelligence, having authored 25 papers that have together received 390 indexed citations. Recurring topics across this work include Formal Methods in Verification (8 papers), Soft Robotics and Applications (7 papers), Micro and Nano Robotics (7 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Path Planning Algorithms (4 papers), AI-based Problem Solving and Planning (4 papers), Spine and Intervertebral Disc Pathology (3 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Condensed Matter Physics (183 citations), Software (23 citations), Mechanical Engineering (156 citations), Biomedical Engineering (176 citations) and Computational Theory and Mathematics (39 citations). Benjamin Johnson has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include David J. Cappelleri, Sagar Chowdhury, Wuming Jing, Maria Guix, Hadas Kress‐Gazit, Chenghao Bi, Jian-Xiong Wang, Dean B. Edwards, Michael O’Rourke and Gui‐Shi Liu. Their work appears in journals such as Robotics, The International Journal of Robotics Research, IEEE Transactions on Automation Science and Engineering, Journal of Mechanisms and Robotics and Materials Today.

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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