John M. Bernabei

772 total citations
20 papers, 402 citations indexed

About

John M. Bernabei is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, John M. Bernabei has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Psychiatry and Mental health and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in John M. Bernabei's work include Functional Brain Connectivity Studies (12 papers), Epilepsy research and treatment (11 papers) and EEG and Brain-Computer Interfaces (11 papers). John M. Bernabei is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Epilepsy research and treatment (11 papers) and EEG and Brain-Computer Interfaces (11 papers). John M. Bernabei collaborates with scholars based in United States, Australia and United Kingdom. John M. Bernabei's co-authors include Brian Litt, Kathryn A. Davis, Joel M. Stein, Timothy H. Lucas, Russell T. Shinohara, Erin C. Conrad, Lohith G. Kini, Preya Shah, Danielle S. Bassett and Nishant Sinha and has published in prestigious journals such as Brain, Epilepsia and Journal of Neural Engineering.

In The Last Decade

John M. Bernabei

18 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Bernabei United States 11 323 186 94 60 42 20 402
H. Guragain United States 8 232 0.7× 162 0.9× 101 1.1× 31 0.5× 51 1.2× 9 305
Giulia Varotto Italy 11 332 1.0× 136 0.7× 94 1.0× 40 0.7× 43 1.0× 19 441
Chifaou Abdallah Canada 13 313 1.0× 220 1.2× 106 1.1× 61 1.0× 36 0.9× 35 400
Rodrigo Zepeda United States 7 413 1.3× 156 0.8× 150 1.6× 52 0.9× 55 1.3× 19 546
Mihai Dragoş Mălîia Romania 10 243 0.8× 88 0.5× 81 0.9× 34 0.6× 46 1.1× 18 293
Erin C. Conrad United States 13 394 1.2× 246 1.3× 157 1.7× 72 1.2× 105 2.5× 38 554
Louis Georges Maillard France 7 231 0.7× 161 0.9× 103 1.1× 52 0.9× 30 0.7× 7 347
Irena Doležalová Czechia 12 349 1.1× 216 1.2× 146 1.6× 61 1.0× 57 1.4× 43 476
T.D. Waberski Germany 8 260 0.8× 79 0.4× 78 0.8× 38 0.6× 36 0.9× 13 347
Nat Hemasilpin United States 10 283 0.9× 207 1.1× 103 1.1× 29 0.5× 12 0.3× 14 363

Countries citing papers authored by John M. Bernabei

Since Specialization
Citations

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

Fields of papers citing papers by John M. Bernabei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Bernabei. 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 John M. Bernabei. The network helps show where John M. Bernabei may publish in the future.

Co-authorship network of co-authors of John M. Bernabei

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Bernabei. A scholar is included among the top collaborators of John M. Bernabei 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 John M. Bernabei. John M. Bernabei 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.
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.
2.
Gallagher, Ryan S., Nishant Sinha, Alfredo Lucas, et al.. (2024). The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks?. Brain Communications. 6(5). fcae320–fcae320.
3.
Cummins, Daniel D., et al.. (2024). Focused Ultrasound for Treatment of Movement Disorders: A Review of Non-Food and Drug Administration Approved Indications. Stereotactic and Functional Neurosurgery. 102(2). 93–108. 3 indexed citations
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Conrad, Erin C., John M. Bernabei, Nishant Sinha, et al.. (2022). Addressing spatial bias in intracranial EEG functional connectivity analyses for epilepsy surgical planning. Journal of Neural Engineering. 19(5). 56019–56019. 12 indexed citations
10.
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
11.
Bernabei, John M., Steven N. Baldassano, Erin C. Conrad, et al.. (2021). A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring. Critical Care Explorations. 3(7). e0476–e0476. 4 indexed citations
12.
Bernabei, John M., Nishant Sinha, Thomas Arnold, et al.. (2021). Normative intracranial EEG maps epileptogenic tissues in focal epilepsy. Brain. 145(6). 1949–1961. 49 indexed citations
13.
Baldassano, Steven N., Shawniqua Williams Roberson, Ramani Balu, et al.. (2020). IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE Journal of Biomedical and Health Informatics. 24(8). 2389–2397. 11 indexed citations
14.
Conrad, Erin C., John M. Bernabei, Lohith G. Kini, et al.. (2020). The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG. Network Neuroscience. 4(2). 484–506. 18 indexed citations
15.
Baldassano, Steven N., Chloé E. Hill, Arjun Shankar, et al.. (2019). Big data in status epilepticus. Epilepsy & Behavior. 101(Pt B). 106457–106457. 8 indexed citations
16.
Shah, Preya, John M. Bernabei, Lohith G. Kini, et al.. (2019). High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients. NeuroImage Clinical. 23. 101908–101908. 46 indexed citations
17.
Kini, Lohith G., John M. Bernabei, Fadi Mikhail, et al.. (2019). Virtual resection predicts surgical outcome for drug-resistant epilepsy. Brain. 142(12). 3892–3905. 86 indexed citations
18.
Baldassano, Steven N., Xuelong Zhao, Václav Křemen, et al.. (2018). Cloud computing for seizure detection in implanted neural devices. Journal of Neural Engineering. 16(2). 26016–26016. 17 indexed citations
19.
Goetz, Stefan M., et al.. (2017). Field Distribution of Transcranial Static Magnetic Stimulation in Realistic Human Head Model. Neuromodulation Technology at the Neural Interface. 21(4). 340–347. 20 indexed citations
20.
Bernabei, John M., Won Hee Lee, & Angel V. Peterchev. (2014). Modeling transcranial electric stimulation in mouse: A high resolution finite element study. PubMed. 2014. 406–409. 7 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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