Marom Bikson

6.1k total citations · 1 hit paper
81 papers, 3.8k citations indexed

About

Marom Bikson is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marom Bikson has authored 81 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Neurology, 44 papers in Cognitive Neuroscience and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marom Bikson's work include Transcranial Magnetic Stimulation Studies (56 papers), Neuroscience and Neural Engineering (28 papers) and EEG and Brain-Computer Interfaces (15 papers). Marom Bikson is often cited by papers focused on Transcranial Magnetic Stimulation Studies (56 papers), Neuroscience and Neural Engineering (28 papers) and EEG and Brain-Computer Interfaces (15 papers). Marom Bikson collaborates with scholars based in United States, Brazil and Germany. Marom Bikson's co-authors include Asif Rahman, Lucas C. Parra, André R. Brunoni, Felipe Fregni, Dennis Q. Truong, Dylan J. Edwards, Álvaro Pascual‐Leone, Paulo S. Boggio, Michael A. Nitsche and Antoni Valero‐Cabré and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Marom Bikson

73 papers receiving 3.8k citations

Hit Papers

Clinical research with transcranial direct current stimul... 2011 2026 2016 2021 2011 250 500 750 1000
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.

  1. Clinical research with transcranial direct current stimulation (tDCS): Challenges and future directions
    2011 1.1k citations André R. Brunoni, Michael A. Nitsche et al. Brain stimulation profile →

Peers

Marom Bikson
Min‐Fang Kuo Germany
Davide Reato United States
Vera Moliadze Germany
Brita Fritsch Germany
Elisabeth Rounis United Kingdom
Maurizio Vergari Italy
Janine Reis Germany
Florian Müller‐Dahlhaus Germany
Filippo Cogiamanian Italy
Tim Wagner United States
Min‐Fang Kuo Germany
Marom Bikson
Citations per year, relative to Marom Bikson Marom Bikson (= 1×) peers Min‐Fang Kuo

Countries citing papers authored by Marom Bikson

Since Specialization
Citations

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

Fields of papers citing papers by Marom Bikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marom Bikson

This figure shows the co-authorship network connecting the top 25 collaborators of Marom Bikson. A scholar is included among the top collaborators of Marom Bikson 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 Marom Bikson. Marom Bikson 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.
Bikson, Marom, et al.. (2025). Overlapping mechanisms of epidural spinal cord stimulation for pain control and movement recovery. Current Opinion in Neurology. 38(6). 660–666. 1 indexed citations
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Bikson, Marom, André R. Brunoni, & Manju George. (2025). US FDA approves home-delivered tDCS for treating depression. Brain stimulation. 19(1). 103021–103021. 1 indexed citations
4.
Truong, Dennis Q., et al.. (2025). TMS targeting using MRI-free head modeling. 5. 100188–100188. 1 indexed citations
5.
Weise, Konstantin, et al.. (2025). Statistical method accounts for microscopic electric field distortions around neurons when simulating activation thresholds. Brain stimulation. 18(2). 280–286. 1 indexed citations
6.
Wang, Boshuo, Angel V. Peterchev, Risto J. Ilmoniemi, et al.. (2024). Quasistatic approximation in neuromodulation. Journal of Neural Engineering. 21(4). 41002–41002. 12 indexed citations
7.
Bikson, Marom, et al.. (2024). A pilot randomized controlled trial of transcranial direct current stimulation adjunct to moderate-intensity aerobic exercise in hypertensive individuals. SHILAP Revista de lepidopterología. 5. 1236486–1236486. 1 indexed citations
8.
Soleimani, Ghazaleh, Michael A. Nitsche, Til Ole Bergmann, et al.. (2023). Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments. Translational Psychiatry. 13(1). 279–279. 41 indexed citations
9.
Dubois, Bruno, Richard Lévy, Dennis Q. Truong, et al.. (2022). Evaluation of the effect of transcranial direct current stimulation on language impairments in the behavioural variant of frontotemporal dementia. Brain Communications. 4(2). fcac050–fcac050. 3 indexed citations
10.
Gebodh, Nigel, Zeinab Esmaeilpour, Abhishek Datta, & Marom Bikson. (2021). Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Scientific Data. 8(1). 274–274. 8 indexed citations
11.
Bremner, J. Douglas, Nil Z. Gurel, Matthew T. Wittbrodt, et al.. (2020). Application of Noninvasive Vagal Nerve Stimulation to Stress-Related Psychiatric Disorders. Journal of Personalized Medicine. 10(3). 119–119. 52 indexed citations
12.
Fan, Jie, et al.. (2020). In Vivo Modulation of the Blood–Brain Barrier Permeability by Transcranial Direct Current Stimulation (tDCS). Annals of Biomedical Engineering. 48(4). 1256–1270. 44 indexed citations
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Badran, Bashar W., Alfred B. Yu, Devin Adair, et al.. (2019). Laboratory Administration of Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): Technique, Targeting, and Considerations. Journal of Visualized Experiments. 26 indexed citations
15.
Edemann-Callesen, Henriette, Mark Jackson, Niranjan Khadka, et al.. (2018). Non-invasive modulation reduces repetitive behavior in a rat model through the sensorimotor cortico-striatal circuit. Translational Psychiatry. 8(1). 11–11. 9 indexed citations
16.
Huh, Yeowool, Hyewhon Rhim, Sooyoung Chung, et al.. (2018). Brain stimulation patterns emulating endogenous thalamocortical input to parvalbumin-expressing interneurons reduce nociception in mice. Brain stimulation. 11(5). 1151–1160. 6 indexed citations
17.
Li, Shasha, et al.. (2015). Transcutaneous spinal stimulation as a therapeutic strategy for spinal cord injury: state of the art. SHILAP Revista de lepidopterología. 73–73. 16 indexed citations
18.
Galletta, Elizabeth E., Andrea Cancelli, Carlo Cottone, et al.. (2015). Use of Computational Modeling to Inform tDCS Electrode Montages for the Promotion of Language Recovery in Post-stroke Aphasia. Brain stimulation. 8(6). 1108–1115. 56 indexed citations
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Radman, Thomas, Abhishek Datta, Raddy L. Ramos, Joshua C. Brumberg, & Marom Bikson. (2009). One-dimensional representation of a neuron in a uniform electric field. PubMed. 2009. 6481–6484. 30 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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