Kai J. Miller

14.2k total citations · 4 hit papers
186 papers, 9.1k citations indexed

About

Kai J. Miller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kai J. Miller has authored 186 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Cognitive Neuroscience, 73 papers in Cellular and Molecular Neuroscience and 64 papers in Neurology. Recurrent topics in Kai J. Miller's work include EEG and Brain-Computer Interfaces (108 papers), Neural dynamics and brain function (73 papers) and Neuroscience and Neural Engineering (58 papers). Kai J. Miller is often cited by papers focused on EEG and Brain-Computer Interfaces (108 papers), Neural dynamics and brain function (73 papers) and Neuroscience and Neural Engineering (58 papers). Kai J. Miller collaborates with scholars based in United States, Netherlands and United Kingdom. Kai J. Miller's co-authors include Jeffrey G. Ojemann, Rajesh P. N. Rao, Gerwin Schalk, Marcel den Nijs, Dora Hermes, Eric C. Leuthardt, Eberhard E. Fetz, Daniel W. Moran, Nicholas Anderson and L. B. Sorensen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Kai J. Miller

169 papers receiving 9.0k citations

Hit Papers

Review of the BCI Competition IV 2007 2026 2013 2019 2012 2007 2009 2013 250 500 750

Peers

Kai J. Miller
Nathan E. Crone United States
Leigh R. Hochberg United States
Tonio Ball Germany
Jaimie M. Henderson United States
Gerhard M. Friehs United States
Gerwin Schalk United States
Mikhail Lebedev United States
Chang‐Hwan Im South Korea
Nathan E. Crone United States
Kai J. Miller
Citations per year, relative to Kai J. Miller Kai J. Miller (= 1×) peers Nathan E. Crone

Countries citing papers authored by Kai J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Kai J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai J. Miller. 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 Kai J. Miller. The network helps show where Kai J. Miller may publish in the future.

Co-authorship network of co-authors of Kai J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Kai J. Miller. A scholar is included among the top collaborators of Kai J. Miller 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 Kai J. Miller. Kai J. Miller 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.
Vasquez, Alejandra, et al.. (2025). Radiofrequency thermocoagulation in focal epilepsy: A retrospective cohort study. Epilepsia Open. 10(2). 529–538.
2.
Cooray, Gerald, et al.. (2025). Cortico‐cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization. Epilepsia. 66(9). 3087–3104. 1 indexed citations
3.
Agashe, Shruti, Gamaleldin Osman, W. D. Sheffield, et al.. (2025). Thalamocortical network neuromodulation for epilepsy. Brain Communications. 7(5). fcaf270–fcaf270.
4.
Gregg, Nicholas M., Harvey Huang, Václav Křemen, et al.. (2025). Thalamic Stimulation Induced Changes in Network Connectivity and Excitability in Epilepsy. Annals of Neurology. 99(3). 748–760.
5.
Singh, Rohin, Panagiotis Kerezoudis, Sanjeet S. Grewal, et al.. (2025). Intracranial stimulation for pediatric refractory epilepsy: A single institutional experience using evolving therapies. Epilepsia Open. 10(3). 694–704. 1 indexed citations
6.
Huang, Harvey, Joshua A. Adkinson, Kelly R. Bijanki, et al.. (2025). Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data. Journal of Neuroscience Methods. 419. 110461–110461.
7.
Huang, Harvey, Nicholas M. Gregg, Gamaleldin Osman, et al.. (2024). CARLA: Adjusted common average referencing for cortico-cortical evoked potential data. Journal of Neuroscience Methods. 407. 110153–110153. 6 indexed citations
8.
Sharaf, Basel, Bryan T. Klassen, Sanjeet S. Grewal, et al.. (2024). Clinical Evaluation of the NaviNetics Stereotactic System Using Intraoperative Portable Surgical Imaging System in DBS Surgery. Operative Neurosurgery. 29(1). 93–101.
9.
Agashe, Shruti, Gamaleldin Osman, Kai J. Miller, et al.. (2024). Centromedian thalamic deep brain stimulation for idiopathic generalized epilepsy: Connectivity and target optimization. Epilepsia. 65(11). e197–e203. 10 indexed citations
10.
Sha, Zhiyi, Thomas R. Henry, Gregory A. Worrell, et al.. (2024). Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. IEEE Journal of Biomedical and Health Informatics. 29(2). 857–869.
11.
Miller, Kai J., Klaus‐Robert Müller, Harvey Huang, et al.. (2023). Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Computational Biology. 19(5). e1011105–e1011105. 11 indexed citations
12.
Barbosa, Daniel A. N., Allan Wang, Yuhao Huang, et al.. (2023). An orexigenic subnetwork within the human hippocampus. Nature. 621(7978). 381–388. 13 indexed citations
13.
Bhandarkar, Archis R., Ryan M. Naylor, Jamie J. Van Gompel, et al.. (2022). Outcomes and Principles of Patient Selection for Laser Interstitial Thermal Therapy for Metastatic Brain Tumor Management: A Multisite Institutional Case Series. World Neurosurgery. 165. e520–e531. 6 indexed citations
14.
Boom, Max van den, Kai J. Miller, Nick F. Ramsey, & Dora Hermes. (2021). Functional MRI based simulations of ECoG grid configurations for optimal measurement of spatially distributed hand-gesture information. Journal of Neural Engineering. 18(2). 26013–26013. 5 indexed citations
15.
Yuen, Jason, Kai J. Miller, Bryan T. Klassen, et al.. (2021). Hyperostosis in Combination With Low Skull Density Ratio: A Potential Contraindication for Magnetic Resonance Imaging–Guided Focused Ultrasound Thalamotomy. SHILAP Revista de lepidopterología. 6(1). 10–15. 5 indexed citations
16.
Klink, Nicole van, Willemiek Zweiphenning, Cyrille H. Ferrier, et al.. (2021). Can we use intraoperative high‐frequency oscillations to guide tumor‐related epilepsy surgery?. Epilepsia. 62(4). 997–1004. 25 indexed citations
17.
Gregg, Nicholas M., Victoria S. Marks, Vladimir Sladky, et al.. (2021). Anterior nucleus of the thalamus seizure detection in ambulatory humans. Epilepsia. 62(10). e158–e164. 30 indexed citations
18.
Jiang, Hongjie, Shaomin Zhang, Anne-Lise Giraud, et al.. (2020). Observation and assessment of acoustic contamination of electrophysiological brain signals during speech production and sound perception. Journal of Neural Engineering. 17(5). 56028–56028. 34 indexed citations
19.
Le, Scheherazade, Allen L. Ho, Robert S. Fisher, et al.. (2018). Laser interstitial thermal therapy (LITT): Seizure outcomes for refractory mesial temporal lobe epilepsy. Epilepsy & Behavior. 89. 37–41. 59 indexed citations
20.
Winawer, Jonathan, Kai J. Miller, Dora Hermes, Josef Parvizi, & BA Wandell. (2013). Oriented luminance gratings, but not noise patterns, induce narrow gamma band ECoG responses in human visual cortex. Journal of Vision. 13(9). 33–33. 2 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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