Thomas Low

19 papers receiving 361 citations

Peers

Thomas Low
Comparison fields: 5 of 45
  • Control and Systems Engineering 87
  • Biomedical Engineering 122
  • Mechanical Engineering 112
  • Health Informatics 7
  • Surgery 89
Replace Kim Mathiassen with:
Kim Mathiassen Norway
Jelizaveta Konstantinova United Kingdom
Diana C. W. Friedman United States
Moji Ghodoussi United States
Philip R. Roan United States
Marco Beccani United States
Nikhil Deshpande Italy
Nima Enayati Italy
Fangxun Zhong Hong Kong
Konrad Leibrandt United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Low

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200951
2 200139
3 201437
4 202033
5 201029
6 202128
7 199024
8 201924
9 202224
10 202314
11 201613
12 202212
13 202311
14 200810
15 20078
16 20237
17 20235
18
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
20204
19 20233

About Thomas Low

Thomas Low is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Surgery and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 376 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (9 papers), Surgical Simulation and Training (7 papers), Soft Robotics and Applications (7 papers), Robot Manipulation and Learning (5 papers), Telemedicine and Telehealth Implementation (1 paper), Robotic Mechanisms and Dynamics (1 paper), Robotic Locomotion and Control (1 paper) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Control and Systems Engineering (87 citations), Biomedical Engineering (122 citations), Mechanical Engineering (112 citations), Health Informatics (7 citations) and Surgery (89 citations). Thomas Low has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Charles R. Doarn, Timothy J. Broderick, Mehran Anvari, Brijen Thananjeyan, Jeffrey Ichnowski, Minho Hwang, Daniel Seita, Joseph S. Eckerle, Ken Y. Goldberg and Scott Stanford. Their work appears in journals such as Telemedicine Journal and e-Health, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Robotics, Sensors and Actuators A Physical and IEEE Transactions on Medical Robotics and Bionics.

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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