Gregory A. Worrell

24.4k total citations · 3 hit papers
367 papers, 13.4k citations indexed

About

Gregory A. Worrell is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gregory A. Worrell has authored 367 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 250 papers in Cognitive Neuroscience, 155 papers in Psychiatry and Mental health and 154 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gregory A. Worrell's work include EEG and Brain-Computer Interfaces (205 papers), Epilepsy research and treatment (148 papers) and Neural dynamics and brain function (94 papers). Gregory A. Worrell is often cited by papers focused on EEG and Brain-Computer Interfaces (205 papers), Epilepsy research and treatment (148 papers) and Neural dynamics and brain function (94 papers). Gregory A. Worrell collaborates with scholars based in United States, Czechia and United Kingdom. Gregory A. Worrell's co-authors include Benjamin H. Brinkmann, Brian Litt, Matt Stead, Bin He, Jamie J. Van Gompel, Fredric B. Meyer, W. Richard Marsh, Václav Křemen, Gregory D. Cascino and Mark R. Bower and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Gregory A. Worrell

340 papers receiving 13.2k citations

Hit Papers

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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.

Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease

2021 192 citations Gregory A. Worrell, Václav Křemen et al. profile →
Cycles in epilepsy

2021 172 citations Philippa J. Karoly, Nicholas M. Gregg et al. profile →
Towards network-guided neuromodulation for epilepsy

2022 123 citations R. Mark Richardson, Gregory A. Worrell et al. Brain profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gregory A. Worrell	9.0k	5.4k	5.2k	2.4k	1.2k	367	13.4k
Andreas Schulze‐Bonhage	10.3k 1.1×	6.9k 1.3×	5.3k 1.0×	1.6k 0.7×	2.9k 2.4×	504	16.4k
Fabrice Bartoloméi	11.5k 1.3×	8.1k 1.5×	6.1k 1.2×	2.2k 0.9×	2.0k 1.6×	414	17.5k
Brian Litt	7.5k 0.8×	3.0k 0.6×	4.5k 0.9×	1.4k 0.6×	720 0.6×	208	13.2k
Patrick Chauvel	10.8k 1.2×	6.3k 1.2×	4.9k 1.0×	1.8k 0.8×	1.8k 1.5×	345	17.5k
Jeffrey G. Ojemann	11.5k 1.3×	2.3k 0.4×	5.7k 1.1×	2.1k 0.9×	917 0.7×	271	17.2k
Paul Boon	5.9k 0.7×	5.0k 0.9×	4.2k 0.8×	3.4k 1.4×	1.8k 1.4×	544	13.8k
Mark P. Richardson	6.3k 0.7×	5.1k 0.9×	2.5k 0.5×	1.3k 0.5×	1.4k 1.1×	254	10.8k
Michel Baulac	6.4k 0.7×	6.5k 1.2×	5.6k 1.1×	1.4k 0.6×	2.8k 2.2×	262	15.5k
Ronald P. Lesser	5.1k 0.6×	3.9k 0.7×	2.7k 0.5×	2.2k 0.9×	1.3k 1.1×	218	10.6k
Sydney S. Cash	10.5k 1.2×	1.7k 0.3×	5.8k 1.1×	1.1k 0.5×	512 0.4×	306	14.4k

Countries citing papers authored by Gregory A. Worrell

Since Specialization

Citations

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

Fields of papers citing papers by Gregory A. Worrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory A. Worrell. 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 Gregory A. Worrell. The network helps show where Gregory A. Worrell may publish in the future.

Co-authorship network of co-authors of Gregory A. Worrell

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory A. Worrell. A scholar is included among the top collaborators of Gregory A. Worrell 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 Gregory A. Worrell. Gregory A. Worrell 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

Berry, Brent, et al.. (2025). Anterior prefrontal EEG theta activities indicate memory and executive functions in patients with epilepsy. Epilepsia. 66(4). 1274–1287.

Worrell, Gregory A., et al.. (2025). Mapping epileptogenic brain using a unified spatial–temporal–spectral source imaging framework. Proceedings of the National Academy of Sciences. 122(50). e2510015122–e2510015122.

Agashe, Shruti, Gamaleldin Osman, W. D. Sheffield, et al.. (2025). Thalamocortical network neuromodulation for epilepsy. Brain Communications. 7(5). fcaf270–fcaf270.

Shi, Wen, Xue Han, Uri T. Eden, et al.. (2024). Spike ripples localize the epileptogenic zone best: an international intracranial study. Brain. 147(7). 2496–2506. 24 indexed citations

Wang, Yihua, et al.. (2024). Effects of electric fields on the release and content of extracellular vesicles. SHILAP Revista de lepidopterología. 3(11). e70018–e70018. 1 indexed citations

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

Carvalho, Diego Z., Václav Křemen, Filip Mívalt, et al.. (2024). Non-rapid eye movement sleep slow-wave activity features are associated with amyloid accumulation in older adults with obstructive sleep apnoea. Brain Communications. 6(5). fcae354–fcae354. 3 indexed citations

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

Haruwaka, Koichiro, Yanlu Ying, Yue Liang, et al.. (2024). Microglia enhance post-anesthesia neuronal activity by shielding inhibitory synapses. Nature Neuroscience. 27(3). 449–461. 29 indexed citations

10.

Nejedlý, Petr, Václav Křemen, Filip Mívalt, et al.. (2023). Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification. Scientific Reports. 13(1). 744–744. 13 indexed citations

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.

Weiss, Shennan A., Iren Orosz, Richard Gorniak, et al.. (2022). Graph theoretical measures of fast ripples support the epileptic network hypothesis. Brain Communications. 4(3). fcac101–fcac101. 16 indexed citations

13.

Gotman, Jean, William C. Stacey, Nicolás von Ellenrieder, et al.. (2022). Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom. Brain Communications. 4(3). fcac151–fcac151. 11 indexed citations

14.

Hu, Chang, Yogatheesan Varatharajah, Scott A. Przybelski, et al.. (2022). Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage. 251. 119020–119020. 9 indexed citations

15.

Juan, Elsa, Urszula Górska, Václav Křemen, et al.. (2022). Distinct signatures of loss of consciousness in focal impaired awareness versus tonic-clonic seizures. Brain. 146(1). 109–123. 9 indexed citations

16.

Lundstrom, Brian N., Benjamin H. Brinkmann, & Gregory A. Worrell. (2021). Low frequency novel interictal EEG biomarker for localizing seizures and predicting outcomes. Brain Communications. 3(4). fcab231–fcab231. 14 indexed citations

17.

Gregg, Nicholas M., Vladimir Sladky, Petr Nejedlý, et al.. (2021). Thalamic deep brain stimulation modulates cycles of seizure risk in epilepsy. Scientific Reports. 11(1). 24250–24250. 32 indexed citations

18.

Karoly, Philippa J., Mark Cook, Matias I. Maturana, et al.. (2020). Forecasting cycles of seizure likelihood. Epilepsia. 61(4). 776–786. 81 indexed citations

19.

Gregg, Nicholas M., Mona Nasseri, Václav Křemen, et al.. (2020). Circadian and multiday seizure periodicities, and seizure clusters in canine epilepsy. Brain Communications. 2(1). fcaa008–fcaa008. 59 indexed citations

20.

Nejedlý, Petr, Václav Křemen, Vladimir Sladky, et al.. (2020). Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals. Scientific Data. 7(1). 179–179. 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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