G. Starr

651 citations
34 papers · 405 · h-index 10

Impact in

    • Dynamics and Control of Mechanical Systems
    • Robot Manipulation and Learning
    • Robotic Mechanisms and Dynamics
    • Vibration and Dynamic Analysis
    • Hydraulic and Pneumatic Systems
    • Teleoperation and Haptic Systems
    • Advanced Measurement and Metrology Techniques

Papers in

G. Starr

34 papers receiving 392 citations

Peers

G. Starr
Comparison fields: 5 of 31
  • Control and Systems Engineering 354
  • Mechanical Engineering 171
  • Computer Vision and Pattern Recognition 64
  • Automotive Engineering 27
  • Biomedical Engineering 97
Replace Jeffrey C. Trinkle with:
Jeffrey C. Trinkle United States
Jiangbo Zhao China
Jae-Bok Song South Korea
Jae H. Chung United States
Ji Yeong Lee South Korea
José Maurício Santos Torres da Motta Brazil
Ahmed Abo-Ismail Egypt
Lingyu Kong China
Chang-Wan Ha South Korea
Xueyan Xing China
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Citations per field
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Jeffrey C. Trinkle · 1×
Citations per year

Countries citing papers authored by G. Starr

Since Specialization
Citations

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

Fields of papers citing papers by G. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985136
2 200748
3 198627
4 200722
5 200220
6 200419
7 200617
8 200216
9 199014
10 200211
11 20069
12 20048
13 20046
14 20075
15 20035
16 20034
17 20024
18 19834
19 20044
20 20053

About G. Starr

G. Starr is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 34 papers that have together received 405 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), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (354 citations), Mechanical Engineering (171 citations), Computer Vision and Pattern Recognition (64 citations), Automotive Engineering (27 citations) and Biomedical Engineering (97 citations). G. Starr has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include John Wood, R. Lumia, David G. Wilson, Gordon G. Parker, Rush D. Robinett, Jing Zhang, P.S. Hamilton, Ben Jones, Igal M. Shohet 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, IEEE Transactions on Robotics and Robotics and Computer-Integrated Manufacturing.

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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