Brian Litt

21.5k total citations · 4 hit papers
208 papers, 13.2k citations indexed

About

Brian Litt is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Brian Litt has authored 208 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Cognitive Neuroscience, 74 papers in Cellular and Molecular Neuroscience and 62 papers in Psychiatry and Mental health. Recurrent topics in Brian Litt's work include EEG and Brain-Computer Interfaces (108 papers), Neural dynamics and brain function (63 papers) and Epilepsy research and treatment (61 papers). Brian Litt is often cited by papers focused on EEG and Brain-Computer Interfaces (108 papers), Neural dynamics and brain function (63 papers) and Epilepsy research and treatment (61 papers). Brian Litt collaborates with scholars based in United States, Venezuela and Germany. Brian Litt's co-authors include Javier Echauz, Gregory A. Worrell, George Vachtsevanos, Rosana Esteller, Kathryn A. Davis, Justin A. Blanco, Gordon H. Baltuch, Andrew B. Gardner, Timothy H. Lucas and Jonathan Viventi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Brian Litt

200 papers receiving 12.9k 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.

Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics

2010 1.4k citations Brian Litt et al. profile →
Transparent and flexible low noise graphene electrodes for simultaneous electrophysiology and neuroimaging

2014 433 citations Hajime Takano, Timothy H. Lucas et al. profile →
A jump-start for electroceuticals

2013 429 citations Brian Litt et al. profile →
Towards network-guided neuromodulation for epilepsy

2022 123 citations Brian Litt et al. Brain profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Litt United States	59	7.5k	4.5k	3.0k	2.0k	1.4k	208	13.2k
Sydney S. Cash United States	64	10.5k 1.4×	5.8k 1.3×	1.7k 0.6×	1.5k 0.7×	1.1k 0.8×	306	14.4k
Andreas Schulze‐Bonhage Germany	67	10.3k 1.4×	5.3k 1.2×	6.9k 2.3×	748 0.4×	1.6k 1.2×	504	16.4k
Jeffrey G. Ojemann United States	60	11.5k 1.5×	5.7k 1.3×	2.3k 0.8×	1.1k 0.5×	2.1k 1.5×	271	17.2k
Patrick Chauvel France	71	10.8k 1.4×	4.9k 1.1×	6.3k 2.1×	343 0.2×	1.8k 1.3×	345	17.5k
Nitish V. Thakor United States	83	9.2k 1.2×	6.6k 1.5×	306 0.1×	10.0k 5.0×	1.9k 1.4×	891	25.1k
Gregory A. Worrell United States	65	9.0k 1.2×	5.2k 1.1×	5.4k 1.8×	393 0.2×	2.4k 1.7×	367	13.4k
Lucas C. Parra United States	61	7.1k 1.0×	2.4k 0.5×	465 0.2×	1.7k 0.8×	561 0.4×	202	12.2k
Leigh R. Hochberg United States	46	9.7k 1.3×	7.5k 1.7×	309 0.1×	2.7k 1.3×	835 0.6×	134	11.9k
Peter J. Basser United States	62	6.5k 0.9×	1.9k 0.4×	2.3k 0.7×	1.8k 0.9×	2.3k 1.6×	253	30.2k
Eric C. Leuthardt United States	53	6.4k 0.9×	3.1k 0.7×	566 0.2×	1.8k 0.9×	935 0.7×	210	10.1k

Countries citing papers authored by Brian Litt

Since Specialization

Citations

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

Fields of papers citing papers by Brian Litt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Litt

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

All Works

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20 of 20 papers shown

Xu, Zhida, Patryk Orzechowski, James Spence, et al.. (2025). Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond. Scientific Data. 12(1). 1834–1834. 1 indexed citations

Lucas, Alfredo, Thomas Arnold, Serhat V. Okar, et al.. (2025). Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis. Radiology. 315(1). e233529–e233529.

Lucas, Alfredo, Alexander B. Silva, Thomas Arnold, et al.. (2025). White matter signals reflect information transmission between brain regions during seizures. Brain. 149(1). 77–89.

Galer, Peter D., Jillian L. McKee, Sarah M. Ruggiero, et al.. (2025). Quantitative EEG Biomarkers in the Genetic Epilepsies and Associations With Neurologic Outcomes. Neurology. 105(8). e214148–e214148.

Lucas, Alfredo, Nishant Sinha, Ryan S. Gallagher, et al.. (2024). Utility of intracranial EEG networks depends on re-referencing and connectivity choice. Brain Communications. 6(3). fcae165–fcae165. 2 indexed citations

Gallagher, Ryan S., Russell T. Shinohara, Alfredo Lucas, et al.. (2024). Disparities in seizure outcomes revealed by large language models. Journal of the American Medical Informatics Association. 31(6). 1348–1355. 9 indexed citations

Conrad, Erin C., Alfredo Lucas, Joshua J. LaRocque, et al.. (2024). Interictal intracranial EEG asymmetry lateralizes temporal lobe epilepsy. Brain Communications. 6(5). fcae284–fcae284. 2 indexed citations

Ellis, Colin A., Emily Schriver, Debbie Smith, et al.. (2023). Characterizing the treatment gap in the United States among adult patients with a new diagnosis of epilepsy. Epilepsia. 64(7). 1862–1872. 2 indexed citations

Lucas, Alfredo, Ryan S. Gallagher, Ezequiel Gleichgerrcht, et al.. (2023). iEEG ‐recon: A fast and scalable pipeline for accurate reconstruction of intracranial electrodes and implantable devices. Epilepsia. 65(3). 817–829. 8 indexed citations

10.

Gugger, James J., Colin A. Ellis, Elizabeth Sweeney, et al.. (2023). A pharmacokinetic model of antiseizure medication load to guide care in the epilepsy monitoring unit. Epilepsia. 64(5). 1236–1247. 6 indexed citations

11.

Revell, Andrew Y., John M. Bernabei, Erin C. Conrad, et al.. (2023). The seizure severity score: a quantitative tool for comparing seizures and their response to therapy. Journal of Neural Engineering. 20(4). 46026–46026. 7 indexed citations

12.

Lucas, Alfredo, Joshua J. LaRocque, Arian Ashourvan, et al.. (2023). Resting-state background features demonstrate multidien cycles in long-term EEG device recordings. Brain stimulation. 16(6). 1709–1718. 12 indexed citations

13.

Arnold, Thomas, Lohith G. Kini, John M. Bernabei, et al.. (2023). Remote effects of temporal lobe epilepsy surgery: Long‐term morphological changes after surgical resection. Epilepsia Open. 8(2). 559–570. 7 indexed citations

14.

Bernabei, John M., Adam Li, Andrew Y. Revell, et al.. (2023). Quantitative approaches to guide epilepsy surgery from intracranial EEG. Brain. 146(6). 2248–2258. 46 indexed citations

15.

Bernabei, John M., Ankit N. Khambhati, Dani S. Bassett, et al.. (2022). Intracranial electroencephalographic biomarker predicts effective responsive neurostimulation for epilepsy prior to treatment. Epilepsia. 63(3). 652–662. 30 indexed citations

16.

Litt, Brian, et al.. (2022). Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record. 369–375. 6 indexed citations

17.

Bernabei, John M., Thomas Arnold, Preya Shah, et al.. (2021). Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. Brain Communications. 3(3). fcab156–fcab156. 25 indexed citations

18.

Ashourvan, Arian, Jennifer Stiso, Kathryn A. Davis, et al.. (2021). Time-evolving controllability of effective connectivity networks during seizure progression. Proceedings of the National Academy of Sciences. 118(5). 46 indexed citations

19.

Driscoll, Nicolette, Richard Rosch, Brendan B. Murphy, et al.. (2021). Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale. Communications Biology. 4(1). 136–136. 23 indexed citations

20.

Ashourvan, Arian, Sérgio Pequito, Ankit N. Khambhati, et al.. (2020). Model-based design for seizure control by stimulation. Journal of Neural Engineering. 17(2). 26009–26009. 20 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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