Sumner L. Norman

454 total citations
13 papers, 237 citations indexed

About

Sumner L. Norman is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sumner L. Norman has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sumner L. Norman's work include EEG and Brain-Computer Interfaces (9 papers), Muscle activation and electromyography studies (6 papers) and Neuroscience and Neural Engineering (5 papers). Sumner L. Norman is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Muscle activation and electromyography studies (6 papers) and Neuroscience and Neural Engineering (5 papers). Sumner L. Norman collaborates with scholars based in United States, France and Israel. Sumner L. Norman's co-authors include David J. Reinkensmeyer, Richard A. Andersen, Mikhail G. Shapiro, Eric T. Wolbrecht, Whitney S. Griggs, Steven C. Cramer, Mickaël Tanter, Jonathan R. Wolpaw, Charlie Demené and David Maresca and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Sumner L. Norman

12 papers receiving 231 citations

Peers

Sumner L. Norman
Bryan R. Schlink United States
Léo M. Walton United States
Zack Nigogosyan United States
Roni O. Maimon-Mor United Kingdom
John McLinden United States
Paulina Kieliba United Kingdom
Wan-wa Wong Hong Kong
Bryan R. Schlink United States
Sumner L. Norman
Citations per year, relative to Sumner L. Norman Sumner L. Norman (= 1×) peers Bryan R. Schlink

Countries citing papers authored by Sumner L. Norman

Since Specialization
Citations

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

Fields of papers citing papers by Sumner L. Norman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumner L. Norman. 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 Sumner L. Norman. The network helps show where Sumner L. Norman may publish in the future.

Co-authorship network of co-authors of Sumner L. Norman

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

All Works

13 of 13 papers shown
1.
Griggs, Whitney S., Sumner L. Norman, Mickaël Tanter, et al.. (2025). Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area. Nature Communications. 16(1). 8752–8752. 1 indexed citations
2.
Rabut, Claire, Sumner L. Norman, Whitney S. Griggs, et al.. (2024). Functional ultrasound imaging of human brain activity through an acoustically transparent cranial window. Science Translational Medicine. 16(749). eadj3143–eadj3143. 22 indexed citations
3.
Norman, Sumner L., et al.. (2024). An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity. Journal of Neural Engineering. 21(6). 66011–66011.
4.
Griggs, Whitney S., Sumner L. Norman, Thomas Deffieux, et al.. (2023). Decoding motor plans using a closed-loop ultrasonic brain–machine interface. Nature Neuroscience. 27(1). 196–207. 24 indexed citations
5.
Norman, Sumner L., Jonathan R. Wolpaw, & David J. Reinkensmeyer. (2022). Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model. Brain Communications. 4(6). fcac264–fcac264. 8 indexed citations
6.
Norman, Sumner L., David Maresca, Whitney S. Griggs, et al.. (2021). Single-trial decoding of movement intentions using functional ultrasound neuroimaging. Neuron. 109(9). 1554–1566.e4. 57 indexed citations
7.
Aflalo, Tyson, Srinivas Chivukula, Spencer Kellis, et al.. (2020). The human primary somatosensory cortex encodes imagined movement in the absence of sensory information. Communications Biology. 3(1). 757–757. 23 indexed citations
8.
McFarland, Dennis J., Sumner L. Norman, William A. Sarnacki, et al.. (2020). BCI-based sensorimotor rhythm training can affect individuated finger movements. 7(1-2). 38–46. 7 indexed citations
9.
Norman, Sumner L., Dennis J. McFarland, Steven C. Cramer, et al.. (2018). Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke. Journal of Neural Engineering. 15(5). 56026–56026. 36 indexed citations
10.
Norman, Sumner L.. (2017). Brain Computer Interface Design for Robot Assisted Neurorehabilitation. eScholarship (California Digital Library). 1 indexed citations
11.
Norman, Sumner L., Joan Lobo-Prat, & David J. Reinkensmeyer. (2017). How do strength and coordination recovery interact after stroke? A computational model for informing robotic training. PubMed. 2017. 181–186. 4 indexed citations
12.
Norman, Sumner L., Mark Dennison, Eric T. Wolbrecht, et al.. (2016). Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(8). 911–919. 32 indexed citations
13.
Norman, Sumner L., et al.. (2014). Planar Hand Motion Guidance Using Fingertip Skin-Stretch Feedback. IEEE Transactions on Haptics. 7(2). 121–130. 22 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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