Spencer Kellis

3.2k citations
76 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Spencer Kellis

71 papers receiving 1.9k citations

Hit Papers

Decoding motor imagery from the posterior parietal cortex of a tetraplegic human 2015 · 387 citations
3872015202620182022100200300

Peers

Spencer Kellis
Comparison fields: 5 of 93
  • Cognitive Neuroscience 1.6k
  • Cellular and Molecular Neuroscience 1.2k
  • Human-Computer Interaction 64
  • Biomedical Engineering 423
  • Neurology 126
Replace Blaise Yvert with:
Blaise Yvert France
Solaiman Shokur Switzerland
Lin Yao China
Marc W. Slutzky United States
Carlos E. Vargas-Irwin United States
Sam Musallam United States
Chethan Pandarinath United States
Erik J. Aarnoutse Netherlands
Sergey D. Stavisky United States
Shih‐Cheng Yen Singapore
Spencer Kellis relative to Blaise Yvert France Blaise Yvert's profile →
Citations per field
00.5×3.8×
Blaise Yvert · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Spencer Kellis, 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 Spencer Kellis Line = papers co-authored together Spencer Kellis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decoding motor imagery from the posterior parietal cortex of a tetraplegic human
Hit paper breakdown →
2015387
2 2010179
3 2018161
4 201697
5 200487
6 201480
7 201466
8 201564
9 201558
10 200957
11 201856
12 201955
13 201946
14 201644
15 202131
16 201431
17 202226
18 202023
19 202221
20 201320

About Spencer Kellis

Spencer Kellis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Hardware and Architecture and Biomedical Engineering, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (56 papers), Neuroscience and Neural Engineering (44 papers), Neural dynamics and brain function (34 papers), Muscle activation and electromyography studies (11 papers), Advanced Memory and Neural Computing (10 papers), Neurological disorders and treatments (9 papers), Memory and Neural Mechanisms (5 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.2k citations), Human-Computer Interaction (64 citations), Biomedical Engineering (423 citations) and Neurology (126 citations). Spencer Kellis has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Journal of Neural Engineering, Neurosurgical FOCUS, Clinical Neurophysiology, World Neurosurgery and Neuroscience Research.

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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