Thomas Low

31 papers receiving 396 citations

Peers

Thomas Low
Comparison fields: 5 of 76
  • Health Informatics 7
  • Human-Computer Interaction 27
  • Biomedical Engineering 175
  • Computer Vision and Pattern Recognition 83
  • Surgery 120
Replace Rahul Agarwal with:
Rahul Agarwal United States
Chin-Boon Chng Singapore
Jian Guo China
Sotos Voskarides Cyprus
Diana C. W. Friedman United States
Andrea Mariani Italy
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Jay Carriere Canada
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Thomas Low relative to Rahul Agarwal United States Rahul Agarwal's profile →
Citations per field
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Rahul Agarwal · 1×
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

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200950
2 200139
3 201432
4 201029
5 202027
6 201127
7 199024
8 201923
9 202123
10 202222
11 201217
12 202312
13 201612
14 202211
15 200810
16 20239
17 20078
18 20237
19 20135
20 20025

About Thomas Low

Thomas Low is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Mechanical Engineering and Information Systems, having authored 31 papers that have together received 418 indexed citations. Recurring topics across this work include Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers), Teleoperation and Haptic Systems (5 papers), Anatomy and Medical Technology (4 papers), Augmented Reality Applications (4 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Web Data Mining and Analysis (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Health Informatics (7 citations), Human-Computer Interaction (27 citations), Biomedical Engineering (175 citations), Computer Vision and Pattern Recognition (83 citations) and Surgery (120 citations). Thomas Low has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Charles R. Doarn, Andreas Nürnberger, Mehran Anvari, Timothy J. Broderick, Danyal Fer, Brijen Thananjeyan, Joseph Eckerle, Jeffrey Ichnowski, Daniel Seita and Minho Hwang. Their work appears in journals such as Telemedicine Journal and e-Health, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Medical Robotics and Bionics, IEEE Transactions on Robotics and Sensors and Actuators A Physical.

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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