Greg Starr

655 citations
35 papers · 505 · h-index 10

Impact in

Papers in

Greg Starr

35 papers receiving 484 citations

Peers

Greg Starr
Comparison fields: 5 of 35
  • Control and Systems Engineering 375
  • Nuclear and High Energy Physics 68
  • Mechanical Engineering 180
  • Astronomy and Astrophysics 54
  • Computer Vision and Pattern Recognition 69
Replace Shanshuang Shi with:
Shanshuang Shi China
Takashi Umeno Japan
Xiaoyan Chen China
H. Adachi Japan
Junggi Lee South Korea
Tao Yuan China
Luca Rosario Buonocore Switzerland
Robert S. Ball United States
Luke Dosiek United States
Greg Starr relative to Shanshuang Shi China Shanshuang Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Greg Starr

Since Specialization
Citations

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

Fields of papers citing papers by Greg Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Greg Starr, 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 Greg Starr Line = papers co-authored together Greg Starr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985137
2 199172
3 200759
4 198626
5 200423
6 200723
7 200221
8 200220
9 200618
10 199016
11 200210
12 20049
13 20069
14 20046
15 20076
16 20036
17 20035
18 20044
19 20024
20 19834

About Greg Starr

Greg Starr is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 35 papers that have together received 505 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Robotic Mechanisms and Dynamics (10 papers), Dynamics and Control of Mechanical Systems (7 papers), Teleoperation and Haptic Systems (6 papers), Iterative Learning Control Systems (5 papers), Soft Robotics and Applications (5 papers), Advanced Vision and Imaging (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (375 citations), Nuclear and High Energy Physics (68 citations), Mechanical Engineering (180 citations), Astronomy and Astrophysics (54 citations) and Computer Vision and Pattern Recognition (69 citations). Greg Starr has collaborated with scholars based in United States, Greece and Australia. Frequent co-authors include John Wood, Ron Lumia, Rush D. Robinett, Gordon G. Parker, David Wilson, Jing Zhang, Ben Jones, Igal M. Shohet, Patrick S. Hamilton and Mohammad Jamshidi. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Journal of Guidance Control and Dynamics, Journal of Dynamic Systems Measurement and Control, Robotics and Computer-Integrated Manufacturing and IEEE Transactions on Robotics.

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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