David T. Bundy

1.4k total citations
27 papers, 951 citations indexed

About

David T. Bundy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, David T. Bundy has authored 27 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 3 papers in Human-Computer Interaction. Recurrent topics in David T. Bundy's work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (14 papers) and Neural dynamics and brain function (13 papers). David T. Bundy is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (14 papers) and Neural dynamics and brain function (13 papers). David T. Bundy collaborates with scholars based in United States, United Kingdom and Sweden. David T. Bundy's co-authors include Eric C. Leuthardt, Mohit Sharma, Mrinal Pahwa, Jarod L. Roland, Nicholas Szrama, Daniel W. Moran, Gerwin Schalk, Maurizio Corbetta, Charles M. Gaona and Randolph J. Nudo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

David T. Bundy

26 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Bundy United States 16 823 408 207 125 86 27 951
Bálint Várkuti Germany 9 502 0.6× 176 0.4× 93 0.4× 97 0.8× 39 0.5× 14 642
Brittany M. Young United States 16 502 0.6× 172 0.4× 152 0.7× 165 1.3× 27 0.3× 28 855
О. А. Мокиенко Russia 13 480 0.6× 204 0.5× 213 1.0× 48 0.4× 47 0.5× 40 617
Marco Rocha Curado Germany 9 790 1.0× 442 1.1× 364 1.8× 31 0.2× 88 1.0× 18 975
Floriana Pichiorri Italy 17 1.2k 1.4× 512 1.3× 395 1.9× 62 0.5× 115 1.3× 60 1.4k
Simon A. Overduin United States 11 892 1.1× 220 0.5× 503 2.4× 35 0.3× 40 0.5× 14 999
Eliana García‐Cossio Germany 9 967 1.2× 438 1.1× 447 2.2× 35 0.3× 66 0.8× 11 1.1k
Patricia Linortner Austria 9 341 0.4× 231 0.6× 74 0.4× 51 0.4× 62 0.7× 12 566
Manuel Agostini Germany 3 653 0.8× 331 0.8× 291 1.4× 18 0.1× 54 0.6× 3 723
Vera Kaiser Austria 14 937 1.1× 538 1.3× 273 1.3× 58 0.5× 158 1.8× 25 1.0k

Countries citing papers authored by David T. Bundy

Since Specialization
Citations

This map shows the geographic impact of David T. Bundy'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 David T. Bundy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Bundy more than expected).

Fields of papers citing papers by David T. Bundy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Bundy. 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 David T. Bundy. The network helps show where David T. Bundy may publish in the future.

Co-authorship network of co-authors of David T. Bundy

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Bundy. A scholar is included among the top collaborators of David T. Bundy 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 David T. Bundy. David T. Bundy 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.
Bundy, David T., Scott Barbay, Heather M. Hudson, et al.. (2022). Stimulation-Evoked Effective Connectivity (SEEC): An in-vivo approach for defining mesoscale corticocortical connectivity. Journal of Neuroscience Methods. 384. 109767–109767. 2 indexed citations
2.
Barbay, Scott, Hongyu Zhang, Shawn B. Frost, et al.. (2021). A cortical injury model in a non-human primate to assess execution of reach and grasp actions: implications for recovery after traumatic brain injury. Journal of Neuroscience Methods. 361. 109283–109283. 7 indexed citations
3.
Sterzi, Silvia, Felipe Fregni, Colleen A. Hanlon, et al.. (2020). Effects of tDCS on spontaneous spike activity in a healthy ambulatory rat model. Brain stimulation. 13(6). 1566–1576. 6 indexed citations
4.
Bundy, David T., et al.. (2019). Chronic stability of single-channel neurophysiological correlates of gross and fine reaching movements in the rat. PLoS ONE. 14(10). e0219034–e0219034. 6 indexed citations
5.
Bundy, David T., Nicholas Szrama, Mrinal Pahwa, & Eric C. Leuthardt. (2018). Unilateral, 3D Arm Movement Kinematics Are Encoded in Ipsilateral Human Cortex. Journal of Neuroscience. 38(47). 10042–10056. 39 indexed citations
6.
Hawasli, Ammar H., Ravi V. Chacko, Nicholas Szrama, et al.. (2017). Electrophysiological Sequelae of Hemispherotomy in Ipsilateral Human Cortex. Frontiers in Human Neuroscience. 11. 149–149. 4 indexed citations
7.
Bandt, S. Kathleen, Jarod L. Roland, Mrinal Pahwa, et al.. (2017). The impact of high grade glial neoplasms on human cortical electrophysiology. PLoS ONE. 12(3). e0173448–e0173448. 4 indexed citations
8.
Bundy, David T., Mrinal Pahwa, Nicholas Szrama, & Eric C. Leuthardt. (2016). Decoding three-dimensional reaching movements using electrocorticographic signals in humans. Journal of Neural Engineering. 13(2). 26021–26021. 74 indexed citations
9.
Guggenmos, David J., et al.. (2016). Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients. Frontiers in Cellular Neuroscience. 9. 497–497. 26 indexed citations
10.
Pahwa, Mrinal, et al.. (2015). Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications. PLoS ONE. 10(11). e0142947–e0142947. 7 indexed citations
11.
Bandt, S. Kathleen, David T. Bundy, Ammar H. Hawasli, et al.. (2014). The Role of Resting State Networks in Focal Neocortical Seizures. PLoS ONE. 9(9). e107401–e107401. 17 indexed citations
12.
Mitchell, Timothy J., Carl D. Hacker, Jonathan D. Breshears, et al.. (2013). A Novel Data-Driven Approach to Preoperative Mapping of Functional Cortex Using Resting-State Functional Magnetic Resonance Imaging. Neurosurgery. 73(6). 969–983. 99 indexed citations
13.
Breshears, Jonathan D., Charles M. Gaona, Jarod L. Roland, et al.. (2012). Mapping Sensorimotor Cortex With Slow Cortical Potential Resting-State Networks While Awake and Under Anesthesia. Neurosurgery. 71(2). 305–316. 24 indexed citations
14.
Bundy, David T., et al.. (2012). Using ipsilateral motor signals in the unaffected cerebral hemisphere as a signal platform for brain–computer interfaces in hemiplegic stroke survivors. Journal of Neural Engineering. 9(3). 36011–36011. 44 indexed citations
15.
Somers, Thomas, et al.. (2012). IPSIHAND BRAVO: An improved EEG-based brain-computer interface for hand motor control rehabilitation. PubMed. 1327. 1749–1752. 9 indexed citations
16.
Gaona, Charles M., Mohit Sharma, Zachary V. Freudenburg, et al.. (2011). Nonuniform High-Gamma (60–500 Hz) Power Changes Dissociate Cognitive Task and Anatomy in Human Cortex. Journal of Neuroscience. 31(6). 2091–2100. 71 indexed citations
17.
Fok, S.C., R H Schwartz, Charles B. Holmes, et al.. (2011). An EEG-based brain computer interface for rehabilitation and restoration of hand control following stroke using ipsilateral cortical physiology. PubMed. 2011. 6277–6280. 51 indexed citations
18.
Bundy, David T., et al.. (2011). IpsiHand: An EEG-based Brain Computer Interface for Rehabilitation and Restoration of Hand Control Following Stroke and Traumatic Brain Injury Using Ipsilateral Cortical Physiology. Open Scholarship Institutional Repository (Washington University in St. Louis). 2 indexed citations
19.
Breshears, Jonathan D., Charles M. Gaona, Jarod L. Roland, et al.. (2011). Decoding Motor Signals From the Pediatric Cortex: Implications for Brain-Computer Interfaces in Children. PEDIATRICS. 128(1). e160–e168. 19 indexed citations
20.
Leuthardt, Eric C., et al.. (2009). Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces. Neurosurgical FOCUS. 27(1). E10–E10. 77 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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