Peter S. Lum

7.2k total citations · 2 hit papers
93 papers, 5.2k citations indexed

About

Peter S. Lum is a scholar working on Rehabilitation, Neurology and Biomedical Engineering. According to data from OpenAlex, Peter S. Lum has authored 93 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Rehabilitation, 43 papers in Neurology and 38 papers in Biomedical Engineering. Recurrent topics in Peter S. Lum's work include Stroke Rehabilitation and Recovery (74 papers), Botulinum Toxin and Related Neurological Disorders (40 papers) and Muscle activation and electromyography studies (37 papers). Peter S. Lum is often cited by papers focused on Stroke Rehabilitation and Recovery (74 papers), Botulinum Toxin and Related Neurological Disorders (40 papers) and Muscle activation and electromyography studies (37 papers). Peter S. Lum collaborates with scholars based in United States, Italy and Greece. Peter S. Lum's co-authors include Charles G. Burgar, P. Shor, H. F. Machiel Van der Loos, Rahsaan J. Holley, David J. Reinkensmeyer, Alexander W. Dromerick, Elizabeth B. Brokaw, Sasha Blue Godfrey, Christopher N. Schabowsky and Carolynn Patten and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Peter S. Lum

89 papers receiving 5.0k citations

Hit Papers

Robot-assisted movement training compared with convention... 2001 2026 2009 2017 2002 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter S. Lum United States 35 4.2k 2.6k 1.7k 1.3k 1.0k 93 5.2k
Jane Burridge United Kingdom 41 3.0k 0.7× 2.1k 0.8× 1.6k 0.9× 847 0.7× 1.7k 1.6× 167 5.5k
Susan E. Fasoli United States 27 2.9k 0.7× 1.4k 0.5× 1.5k 0.8× 1.0k 0.8× 1.1k 1.0× 48 3.8k
Mindy Aisen United States 21 2.6k 0.6× 1.6k 0.6× 1.5k 0.8× 1.3k 1.0× 966 0.9× 48 4.3k
Derek G. Kamper United States 36 2.5k 0.6× 2.1k 0.8× 1.3k 0.8× 1.3k 1.0× 850 0.8× 131 4.1k
Julius P. A. Dewald United States 41 3.0k 0.7× 2.7k 1.0× 1.8k 1.1× 2.4k 1.9× 979 1.0× 151 5.5k
Agnès Roby-Brami France 39 2.0k 0.5× 1.6k 0.6× 1.0k 0.6× 1.8k 1.4× 921 0.9× 136 5.4k
Charles G. Burgar United States 18 2.5k 0.6× 1.8k 0.7× 1.1k 0.6× 900 0.7× 509 0.5× 27 3.2k
Olivier Lambercy Switzerland 33 2.2k 0.5× 2.5k 1.0× 702 0.4× 1.0k 0.8× 497 0.5× 165 4.3k
Gerard E. Francisco United States 37 2.1k 0.5× 1.2k 0.5× 1.8k 1.0× 811 0.6× 1.2k 1.1× 152 4.3k
John Chae United States 38 2.3k 0.6× 1.7k 0.7× 1.1k 0.6× 789 0.6× 770 0.8× 109 4.1k

Countries citing papers authored by Peter S. Lum

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Lum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Lum. 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 Peter S. Lum. The network helps show where Peter S. Lum may publish in the future.

Co-authorship network of co-authors of Peter S. Lum

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S. Lum. A scholar is included among the top collaborators of Peter S. Lum 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 Peter S. Lum. Peter S. Lum 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.
Bregman, Barbara S., et al.. (2024). Responsiveness to exoskeleton loading during bimanual reaching is associated with corticospinal tract integrity in stroke. Frontiers in Neuroscience. 18. 1348103–1348103. 1 indexed citations
2.
Liu, Kimberly, et al.. (2023). Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19. Healthcare. 11(6). 784–784. 1 indexed citations
3.
Dromerick, Alexander W., et al.. (2023). Measurement of Functional Use in Upper Extremity Prosthetic Devices Using Wearable Sensors and Machine Learning. Sensors. 23(6). 3111–3111. 3 indexed citations
4.
Cereatti, Andrea, et al.. (2022). Estimating infant upper extremities motion with an RGB-D camera and markerless deep neural network tracking: A validation study. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 2548–2551. 1 indexed citations
5.
Chang, Taeun, et al.. (2022). Hand Use and Grasp Sensor System in Monitoring Infant Fine Motor Development. Archives of Rehabilitation Research and Clinical Translation. 4(3). 100203–100203. 3 indexed citations
6.
Harris‐Love, Michelle, et al.. (2021). Shoulder position and handedness differentially affect excitability and intracortical inhibition of hand muscles. Experimental Brain Research. 239(5). 1517–1530. 2 indexed citations
7.
Fine, Michael, Peter S. Lum, Elizabeth B. Brokaw, et al.. (2016). Dynamic motor tracking is sensitive to subacute mTBI. Experimental Brain Research. 234(11). 3173–3184. 7 indexed citations
8.
McLeod, Adam, et al.. (2015). Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements. Archives of Physical Medicine and Rehabilitation. 97(2). 224–231. 25 indexed citations
9.
Burgar, Charles G., Peter S. Lum, A.M. Erika Scremin, et al.. (2011). Robot-assisted upper-limb therapy in acute rehabilitation setting following stroke: Department of Veterans Affairs multisite clinical trial. The Journal of Rehabilitation Research and Development. 48(4). 445–445. 129 indexed citations
10.
Brokaw, Elizabeth B., et al.. (2011). Hand Spring Operated Movement Enhancer (HandSOME): A Portable, Passive Hand Exoskeleton for Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(4). 391–399. 148 indexed citations
11.
Dromerick, Alexander W., et al.. (2010). Feedforward control strategies of subjects with transradial amputation in planar reaching. The Journal of Rehabilitation Research and Development. 47(3). 201–201. 34 indexed citations
12.
Brokaw, Elizabeth B., Rahsaan J. Holley, & Peter S. Lum. (2010). Hand Spring Operated Movement Enhancer (HandSOME) device for hand rehabilitation after stroke. PubMed. 2010. 5867–5870. 16 indexed citations
13.
Nef, Tobias & Peter S. Lum. (2009). Improving backdrivability in geared rehabilitation robots. Medical & Biological Engineering & Computing. 47(4). 441–447. 51 indexed citations
14.
Garvey, Marjorie A., Margot L. Giannetti, Katharine E. Alter, & Peter S. Lum. (2007). Cerebral palsy: New approaches to therapy. Current Neurology and Neuroscience Reports. 7(2). 147–155. 39 indexed citations
15.
Dromerick, Alexander W., Peter S. Lum, & Joseph Hidler. (2006). Activity-based therapies. PubMed. 3(4). 428–438. 60 indexed citations
16.
Lum, Peter S., et al.. (2004). Effects of velocity on maximal torque production in poststroke hemiparesis. Muscle & Nerve. 30(6). 732–742. 61 indexed citations
17.
Lum, Peter S., Charles G. Burgar, & P. Shor. (2004). Evidence for improved muscle activation patterns after retraining of reaching movements with the MIME robotic system in subjects with post-stroke hemiparesis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 12(2). 186–194. 212 indexed citations
18.
Patten, Carolynn, et al.. (2003). Reliability and responsiveness of elbow trajectory tracking. The Journal of Rehabilitation Research and Development. 40(6). 487–487. 42 indexed citations
19.
Lum, Peter S., Charles G. Burgar, Deborah Kenney, & H. F. Machiel Van der Loos. (1999). Quantification of force abnormalities during passive and active-assisted upper-limb reaching movements in post-stroke hemiparesis. IEEE Transactions on Biomedical Engineering. 46(6). 652–662. 115 indexed citations
20.
Reinkensmeyer, David J., Peter S. Lum, & Steven L. Lehman. (1992). Human control of a simple two-hand grasp. Biological Cybernetics. 67(6). 553–564. 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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