John Swensen

1.0k citations
40 papers · 616 · h-index 13

Impact in

Papers in

John Swensen

40 papers receiving 565 citations

Peers

John Swensen
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 179
  • Computer Vision and Pattern Recognition 225
  • Hardware and Architecture 59
  • Computational Mechanics 129
  • Biomedical Engineering 219
Replace Yuliy Schwartzburg with:
Yuliy Schwartzburg Switzerland
Markus Knauer Germany
Amir Vaxman Netherlands
Jiancheng Liu China
Florence Bertails France
H. J. Joo South Korea
Hugues Digonnet France
Yun Fei United States
Xiaodong Wei China
Robin Bouclier France
John Swensen relative to Yuliy Schwartzburg Switzerland Yuliy Schwartzburg's profile →
Citations per field
00.5×10×15×19.7×
Yuliy Schwartzburg · 1×
Citations per year

Countries citing papers authored by John Swensen

Since Specialization
Citations

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

Fields of papers citing papers by John Swensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984111
2 198481
3 200964
4 200757
5 198844
6 201426
7 201423
8 200621
9 201218
10 202216
11 201915
12 201814
13 202012
14 201810
15 20129
16 20148
17 20197
18 20207
19 20186
20 20126

About John Swensen

John Swensen is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 616 indexed citations. Recurring topics across this work include Soft Robotics and Applications (15 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Micro and Nano Robotics (6 papers), Robot Manipulation and Learning (6 papers), Modular Robots and Swarm Intelligence (5 papers), Advanced Vision and Imaging (5 papers), Advanced Materials and Mechanics (5 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (179 citations), Computer Vision and Pattern Recognition (225 citations), Hardware and Architecture (59 citations), Computational Mechanics (129 citations) and Biomedical Engineering (219 citations). John Swensen has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Noah J. Cowan, Aaron M. Dollar, Yale N. Patt, Joseph M. Romano, Fan Yang, Vinutha Kallem, Gregory D. Hager, Lael U. Odhner, Allison M. Okamura and Brandon Araki. Their work appears in journals such as PLoS ONE, Smart Materials and Structures, IEEE Transactions on Biomedical Engineering, Springer tracts in advanced robotics and Lecture notes in control and information sciences.

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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