Thomas Low

573 total citations
27 papers, 347 citations indexed

About

Thomas Low is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Low has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 13 papers in Surgery and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Low's work include Surgical Simulation and Training (13 papers), Soft Robotics and Applications (13 papers) and Teleoperation and Haptic Systems (5 papers). Thomas Low is often cited by papers focused on Surgical Simulation and Training (13 papers), Soft Robotics and Applications (13 papers) and Teleoperation and Haptic Systems (5 papers). Thomas Low collaborates with scholars based in United States, Germany and Canada. Thomas Low's co-authors include Charles R. Doarn, Ken Goldberg, Andreas Nürnberger, Jeffrey Ichnowski, Timothy J. Broderick, Joseph Eckerle, Brijen Thananjeyan, Mehran Anvari, Minho Hwang and Daniel Seita and has published in prestigious journals such as IEEE Transactions on Robotics, Sensors and Actuators A Physical and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Thomas Low

27 papers receiving 331 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Low United States 12 177 122 74 63 39 27 347
Jay Carriere Canada 8 162 0.9× 79 0.6× 59 0.8× 45 0.7× 43 1.1× 22 386
Jian Guo China 14 381 2.2× 127 1.0× 62 0.8× 100 1.6× 45 1.2× 80 540
Chin-Boon Chng Singapore 11 140 0.8× 83 0.7× 131 1.8× 39 0.6× 64 1.6× 38 373
Marco Beccani United States 11 260 1.5× 136 1.1× 46 0.6× 69 1.1× 27 0.7× 19 466
Fabien Courrèges France 10 147 0.8× 73 0.6× 96 1.3× 63 1.0× 58 1.5× 22 359
Douglas P. Perrin United States 16 221 1.2× 198 1.6× 121 1.6× 81 1.3× 43 1.1× 40 602
Dennis Kundrat Germany 12 262 1.5× 162 1.3× 81 1.1× 43 0.7× 36 0.9× 27 433
Andrea Mariani Italy 13 324 1.8× 238 2.0× 132 1.8× 70 1.1× 103 2.6× 29 551
Diana C. W. Friedman United States 11 247 1.4× 258 2.1× 119 1.6× 84 1.3× 83 2.1× 17 473
Hamed Saeidi United States 13 231 1.3× 209 1.7× 68 0.9× 71 1.1× 126 3.2× 33 541

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-authorship network of co-authors of Thomas Low

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Low. A scholar is included among the top collaborators of Thomas Low 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 Thomas Low. Thomas Low is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Shengjie, Shujia Xu, Wenzhuo Wu, et al.. (2023). Tactile and Chemical Sensing With Haptic Feedback for a Telepresence Explosive Ordnance Disposal Robot. IEEE Transactions on Robotics. 39(5). 3368–3381. 12 indexed citations
2.
Agarwal, Mridul, Thomas Low, Andrew W. Kirkpatrick, et al.. (2023). ASAP: A Semi-Autonomous Precise System for Telesurgery During Communication Delays. IEEE Transactions on Medical Robotics and Bionics. 5(1). 66–78. 9 indexed citations
3.
Low, Thomas, Cregg Cowan, Brijen Thananjeyan, et al.. (2022). A Digital Twin Framework for Telesurgery in the Presence of Varying Network Quality of Service. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1325–1332. 9 indexed citations
4.
Hwang, Minho, Jeffrey Ichnowski, Brijen Thananjeyan, et al.. (2022). Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans. IEEE Transactions on Automation Science and Engineering. 20(2). 909–922. 19 indexed citations
5.
Hwang, Minho, Brijen Thananjeyan, Jeffrey Ichnowski, et al.. (2021). Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. 7166–7173. 23 indexed citations
6.
Hwang, Minho, Daniel Seita, Brijen Thananjeyan, et al.. (2020). Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. 22–29. 25 indexed citations
7.
Hwang, Minho, Brijen Thananjeyan, Daniel Seita, et al.. (2020). Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation. 3 indexed citations
8.
Zhang, Xingguang, et al.. (2019). DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. 6928–6934. 23 indexed citations
9.
Low, Thomas, et al.. (2017). Towards Identifying User Intentions in Exploratory Search using Gaze and Pupil Tracking. 273–276. 4 indexed citations
10.
Zhou, Tian, María Eugenia Cabrera, Thomas Low, Chandru P. Sundaram, & Juan Wachs. (2016). A Comparative Study for Telerobotic Surgery Using Free Hand Gestures. 5(2). 1–1. 11 indexed citations
11.
Low, Thomas, et al.. (2015). Ontology-supported Exploratory Search for Physical Training Exercises.. International Semantic Web Conference. 1 indexed citations
12.
Low, Thomas, et al.. (2014). Determining the Threshold of Time-Delay for Teleoperation Accuracy and Efficiency in Relation to Telesurgery. Telemedicine Journal and e-Health. 20(12). 1078–1086. 29 indexed citations
13.
Stober, Sebastian, et al.. (2013). Incremental Visualization Of Growing Music Collections.. Zenodo (CERN European Organization for Nuclear Research). 433–438. 4 indexed citations
14.
Low, Thomas, et al.. (2011). What are the real differences of children's and adults' web search. 1115–1116. 24 indexed citations
15.
King, H. Hawkeye, Blake Hannaford, Ka‐Wai Kwok, et al.. (2010). Plugfest 2009: Global interoperability in Telerobotics and telemedicine. PubMed. 2010. 1733–1738. 23 indexed citations
16.
Doarn, Charles R., Mehran Anvari, Thomas Low, & Timothy J. Broderick. (2009). Evaluation of Teleoperated Surgical Robots in an Enclosed Undersea Environment. Telemedicine Journal and e-Health. 15(4). 325–335. 37 indexed citations
17.
Doarn, Charles R., et al.. (2007). Telesurgery and Robotics. Telemedicine Journal and e-Health. 13(4). 369–380. 6 indexed citations
18.
19.
Eckerle, Joseph, et al.. (2001). <title>Biologically inspired hexapedal robot using field-effect electroactive elastomer artificial muscles</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4332. 269–280. 34 indexed citations
20.
Terry, S.C., Joseph Eckerle, Roy Kornbluh, Thomas Low, & C. M. Ablow. (1990). Silicon pressure transducer arrays for blood-pressure measurement. Sensors and Actuators A Physical. 23(1-3). 1070–1079. 23 indexed citations

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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