Jonathan E. Luntz

1.3k citations
108 papers · 1.0k · h-index 17

Impact in

Papers in

Jonathan E. Luntz

102 papers receiving 1.0k citations

Peers

Jonathan E. Luntz
Comparison fields: 5 of 94
  • Control and Systems Engineering 305
  • Mechanical Engineering 360
  • Computer Vision and Pattern Recognition 183
  • Biomedical Engineering 309
  • Industrial and Manufacturing Engineering 66
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Zebing Mao Japan
John J. Uicker United States
Andrea Del Prete Italy
Ketao Zhang United Kingdom
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Ulrike Thomas Germany
Sandipan Mishra United States
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Citations per year

Countries citing papers authored by Jonathan E. Luntz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Luntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Luntz. 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 Jonathan E. Luntz. The network helps show where Jonathan E. Luntz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200270
2 201357
3 200757
4 200155
5 200649
6 201243
7 200241
8 200230
9 201527
10 199726
11 200225
12 200625
13 201024
14 202320
15 200619
16 201217
17 201017
18 201515
19 200215
20 200814

About Jonathan E. Luntz

Jonathan E. Luntz is a scholar working on Mechanical Engineering, Control and Systems Engineering, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 108 papers that have together received 1.0k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (36 papers), Shape Memory Alloy Transformations (24 papers), Robot Manipulation and Learning (23 papers), Robotic Path Planning Algorithms (17 papers), Advanced Materials and Mechanics (14 papers), Soft Robotics and Applications (12 papers), Structural Analysis and Optimization (9 papers) and Micro and Nano Robotics (7 papers). The work is most often cited by research in Control and Systems Engineering (305 citations), Mechanical Engineering (360 citations), Computer Vision and Pattern Recognition (183 citations), Biomedical Engineering (309 citations) and Industrial and Manufacturing Engineering (66 citations). Jonathan E. Luntz has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Diann Brei, Howie Choset, Hyungpil Moon, W. Messner, Julianna M. Abel, Dawn M. Tilbury, William C. MESSNER, Daniel H. Teitelbaum, A.A. Rizzi and Erdem Acar. Their work appears in journals such as Journal of Mechanical Design, Smart Materials and Structures, Journal of Surgical Research, IEEE Transactions on Robotics and Autonomous Robots.

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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