Kelsie Pejsa

1.4k total citations · 1 hit paper
15 papers, 783 citations indexed

About

Kelsie Pejsa is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Kelsie Pejsa has authored 15 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Kelsie Pejsa's work include EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (9 papers) and Muscle activation and electromyography studies (5 papers). Kelsie Pejsa is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (9 papers) and Muscle activation and electromyography studies (5 papers). Kelsie Pejsa collaborates with scholars based in United States and United Kingdom. Kelsie Pejsa's co-authors include Richard A. Andersen, Charles Y. Liu, Spencer Kellis, Brian Lee, Tyson Aflalo, Christian Klaes, Mindy Aisen, Christi Heck, Ying Shi and Luke Bashford and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Kelsie Pejsa

14 papers receiving 773 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decoding motor imagery from the posterior parietal cortex of a tetraplegic human

2015 387 citations Tyson Aflalo, Spencer Kellis et al. Science profile →

Peers

Kelsie Pejsa

CN

CMN

BE

EEE

SP

Christian Klaes Germany

Grant H. Mulliken United States

Robert D. Flint United States

Donald T. Avansino United States

Évariste Demandt Germany

Andrea Biasiucci Switzerland

Kazutaka Takahashi United States

Alan D. Degenhart United States

Trent J. Bradberry United States

Vera Kaiser Austria

Christian Klaes Germany

Kelsie Pejsa

970 ×1.4

CN

491 ×1.1

CMN

215 ×1.1

BE

134 ×1.1

EEE

135 ×1.9

SP

Citations per year, relative to Kelsie Pejsa Kelsie Pejsa (= 1×) peers Christian Klaes

Countries citing papers authored by Kelsie Pejsa

Since Specialization

Citations

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

Fields of papers citing papers by Kelsie Pejsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelsie Pejsa

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Bashford, Luke, et al.. (2025). Visual context affects the perceived timing of tactile sensations elicited through intracortical microstimulation: a case study of two participants. Journal of Neurophysiology. 134(5). 1785–1803.

2.

Bashford, Luke, et al.. (2025). Charge density of multi-channel intra-cortical micro-stimulation modulates intensity and naturalness of evoked somatosensations. Journal of Neural Engineering. 22(6). 66025–66025. 1 indexed citations

3.

Bashford, Luke, et al.. (2024). Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans. Journal of Neural Engineering. 21(4). 46059–46059. 3 indexed citations

4.

Pejsa, Kelsie, et al.. (2024). Representation of internal speech by single neurons in human supramarginal gyrus. Nature Human Behaviour. 8(6). 1136–1149. 22 indexed citations

5.

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

6.

Bashford, Luke, et al.. (2023). Multi-channel intra-cortical micro-stimulation robustly evokes stable, somatosensory percepts; with reaction times significantly faster than natural occurring stimuli in a human participant. Brain stimulation. 16(1). 182–182. 1 indexed citations

7.

Kellis, Spencer, et al.. (2022). Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human. Neuron. 110(11). 1777–1787.e3. 26 indexed citations

8.

Chivukula, Srinivas, et al.. (2021). Neural encoding of actual and imagined touch within human posterior parietal cortex. eLife. 10. 19 indexed citations

9.

Bashford, Luke, Spencer Kellis, Kelsie Pejsa, et al.. (2021). The Neurophysiological Representation of Imagined Somatosensory Percepts in Human Cortex. Journal of Neuroscience. 41(10). 2177–2185. 16 indexed citations

10.

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

11.

Aflalo, Tyson, et al.. (2019). Intrinsic Variable Learning for Brain-Machine Interface Control by Human Anterior Intraparietal Cortex. Neuron. 102(3). 694–705.e3. 28 indexed citations

12.

Salas, M, Luke Bashford, Spencer Kellis, et al.. (2018). Proprioceptive and cutaneous sensations in humans elicited by intracortical microstimulation. eLife. 7. 161 indexed citations

13.

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 →

14.

Klaes, Christian, Spencer Kellis, Tyson Aflalo, et al.. (2015). Hand Shape Representations in the Human Posterior Parietal Cortex. Journal of Neuroscience. 35(46). 15466–15476. 58 indexed citations

15.

Katyal, Kapil D., Matthew S. Johannes, Spencer Kellis, et al.. (2014). A collaborative BCI approach to autonomous control of a prosthetic limb system. 1479–1482. 31 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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