Garth Zeglin

890 total citations
14 papers, 579 citations indexed

About

Garth Zeglin is a scholar working on Biomedical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Garth Zeglin has authored 14 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Garth Zeglin's work include Robotic Locomotion and Control (9 papers), Robot Manipulation and Learning (6 papers) and Prosthetics and Rehabilitation Robotics (4 papers). Garth Zeglin is often cited by papers focused on Robotic Locomotion and Control (9 papers), Robot Manipulation and Learning (6 papers) and Prosthetics and Rehabilitation Robotics (4 papers). Garth Zeglin collaborates with scholars based in United States, Netherlands and Japan. Garth Zeglin's co-authors include Bryan L. Brown, Christopher G. Atkeson, Jun Morimoto, Gordon Cheng, Martijn Wisse, Stuart Anderson, Nancy S. Pollard, D.G.E. Hobbelen, Lillian Chang and Gen Endo and has published in prestigious journals such as mediaTUM (Technical University of Munich) and Figshare.

In The Last Decade

Garth Zeglin

14 papers receiving 539 citations

Peers

Garth Zeglin
Comparison fields: 5 of 48
  • Biomedical Engineering 449
  • Control and Systems Engineering 231
  • Artificial Intelligence 85
  • Aerospace Engineering 79
  • Mechanical Engineering 78
Replace Kaveh Akbari Hamed with:
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Frank Permenter United States
Kemalettin Erbatur Türkiye
Ruben Grandia Switzerland
Young-Dae Hong South Korea
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Ayonga Hereid United States
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Kaveh Akbari Hamed United States View profile →
Citations per field, relative to Garth Zeglin
Garth Zeglin · 1×
Citations per year, relative to Garth Zeglin
Garth Zeglin · 1×

Countries citing papers authored by Garth Zeglin

Since Specialization
Citations

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

Fields of papers citing papers by Garth Zeglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garth Zeglin

This figure shows the co-authorship network connecting the top 25 collaborators of Garth Zeglin. A scholar is included among the top collaborators of Garth Zeglin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garth Zeglin. Garth Zeglin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 25
2 14
3 2
4 9
5 14
6 25
7 16
8 54
9 44
10 34
11 50
12 90
13 137
14 65

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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2026