Spencer Kellis

3.2k total citations · 1 hit paper
76 papers, 2.0k citations indexed

About

Spencer Kellis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Spencer Kellis has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 49 papers in Cellular and Molecular Neuroscience and 16 papers in Biomedical Engineering. Recurrent topics in Spencer Kellis's work include EEG and Brain-Computer Interfaces (56 papers), Neuroscience and Neural Engineering (44 papers) and Neural dynamics and brain function (34 papers). Spencer Kellis is often cited by papers focused on EEG and Brain-Computer Interfaces (56 papers), Neuroscience and Neural Engineering (44 papers) and Neural dynamics and brain function (34 papers). Spencer Kellis collaborates with scholars based in United States, United Kingdom and Germany. Spencer Kellis's co-authors include Richard A. Andersen, Charles Y. Liu, Brian Lee, Tyson Aflalo, Christian Klaes, Bradley Greger, P.A. House, Kelsie Pejsa, Richard B. Brown and Ying Shi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Spencer Kellis

71 papers receiving 1.9k citations

Hit Papers

Decoding motor imagery from the posterior parietal cortex... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Spencer Kellis United States 20 1.6k 1.2k 423 388 126 76 2.0k
Marc W. Slutzky United States 22 1.7k 1.1× 1.0k 0.9× 493 1.2× 336 0.9× 123 1.0× 54 2.1k
Francis R. Willett United States 17 1.8k 1.1× 1.2k 1.1× 524 1.2× 508 1.3× 120 1.0× 31 2.2k
Erik J. Aarnoutse Netherlands 22 1.6k 1.0× 815 0.7× 178 0.4× 256 0.7× 137 1.1× 50 1.8k
Chethan Pandarinath United States 19 1.6k 1.0× 1.2k 1.0× 312 0.7× 517 1.3× 97 0.8× 38 2.1k
Sam Musallam United States 17 1.5k 0.9× 1.2k 1.0× 437 1.0× 447 1.2× 118 0.9× 32 1.9k
Maryam Saleh United States 7 2.3k 1.4× 1.9k 1.7× 733 1.7× 623 1.6× 94 0.7× 9 2.7k
Justin C. Sanchez United States 29 1.8k 1.1× 1.8k 1.6× 574 1.4× 631 1.6× 300 2.4× 121 2.9k
Roy E. Crist United States 8 2.7k 1.7× 1.5k 1.3× 438 1.0× 398 1.0× 58 0.5× 8 3.1k
Sergey D. Stavisky United States 20 1.7k 1.0× 980 0.8× 289 0.7× 438 1.1× 63 0.5× 39 1.8k

Countries citing papers authored by Spencer Kellis

Since Specialization
Citations

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

Fields of papers citing papers by Spencer Kellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spencer Kellis

This figure shows the co-authorship network connecting the top 25 collaborators of Spencer Kellis. A scholar is included among the top collaborators of Spencer Kellis 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 Spencer Kellis. Spencer Kellis 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.
Wang, Po T., et al.. (2026). Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback. Brain stimulation. 103065–103065.
3.
Aflalo, Tyson, et al.. (2024). Enhanced control of a brain–computer interface by tetraplegic participants via neural-network-mediated feature extraction. Nature Biomedical Engineering. 9(6). 917–934. 5 indexed citations
4.
Wang, Po T., Luke Bashford, Spencer Kellis, et al.. (2023). Suppression of cortical electrostimulation artifacts using pre-whitening and null projection. Journal of Neural Engineering. 20(5). 56018–56018. 2 indexed citations
5.
Li, Jun, et al.. (2023). Stereotactic frame-based electrode insertion: the accuracy of increasingly oblique insertion angles. Turkish Neurosurgery. 34(1). 128–134.
6.
Wang, Po T., Susan J. Shaw, Hui Gong, et al.. (2023). Benchtop and bedside validation of a low-cost programmable cortical stimulator in a testbed for bi-directional brain-computer-interface research. Frontiers in Neuroscience. 16. 1075971–1075971. 7 indexed citations
7.
Bashford, Luke, Spencer Kellis, Kelsie Pejsa, et al.. (2023). S1 represents multisensory contexts and somatotopic locations within and outside the bounds of the cortical homunculus. Cell Reports. 42(4). 112312–112312. 7 indexed citations
8.
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
9.
Nune, George, Daniel R. Kramer, Morgan B. Lee, et al.. (2020). Gamma-band modulation in the human amygdala during reaching movements. Neurosurgical FOCUS. 49(1). E4–E4. 3 indexed citations
10.
Nune, George, et al.. (2020). Beta-band modulation in the human hippocampus during a conflict response task. Journal of Neural Engineering. 17(6). 66003–66003. 6 indexed citations
11.
Lee, Morgan B., et al.. (2019). Clinical neuroprosthetics: Today and tomorrow. Journal of Clinical Neuroscience. 68. 13–19. 15 indexed citations
12.
Kramer, Daniel R., et al.. (2019). Functional Frequency Discrimination From Cortical Somatosensory Stimulation in Humans. Frontiers in Neuroscience. 13. 832–832. 5 indexed citations
13.
Kramer, Daniel R., George Nune, Morgan B. Lee, et al.. (2019). Directional tuning during reach planning in the supramarginal gyrus using local field potentials. Journal of Clinical Neuroscience. 64. 214–219. 7 indexed citations
14.
Lee, Brian, Daniel R. Kramer, M Salas, et al.. (2018). Engineering Artificial Somatosensation Through Cortical Stimulation in Humans. Frontiers in Systems Neuroscience. 12. 24–24. 56 indexed citations
15.
Aflalo, Tyson, Spencer Kellis, Christian Klaes, et al.. (2015). Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science. 348(6237). 906–910. 387 indexed citations breakdown →
16.
Andersen, Richard A., Spencer Kellis, Christian Klaes, & Tyson Aflalo. (2014). Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces. Current Biology. 24(18). R885–R897. 66 indexed citations
17.
Stacey, William C., Spencer Kellis, Paras R. Patel, Bradley Greger, & Christopher R. Butson. (2012). Signal distortion from microelectrodes in clinical EEG acquisition systems. Journal of Neural Engineering. 9(5). 56007–56007. 15 indexed citations
18.
Kellis, Spencer, et al.. (2011). Platinum microwire for subdural electrocorticography over human neocortex: Millimeter-scale spatiotemporal dynamics. PubMed. 2011. 4761–5. 9 indexed citations
19.
Kellis, Spencer, Kai J. Miller, Kyle E. Thomson, et al.. (2010). Decoding spoken words using local field potentials recorded from the cortical surface. Journal of Neural Engineering. 7(5). 56007–56007. 179 indexed citations
20.
Baker, Justin, et al.. (2009). Multi-scale recordings for neuroprosthetic control of finger movements. PubMed. 2009. 4573–4577. 12 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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