Angel V. Peterchev

13.3k total citations · 3 hit papers
178 papers, 7.3k citations indexed

About

Angel V. Peterchev is a scholar working on Neurology, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Angel V. Peterchev has authored 178 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Neurology, 52 papers in Electrical and Electronic Engineering and 51 papers in Cognitive Neuroscience. Recurrent topics in Angel V. Peterchev's work include Transcranial Magnetic Stimulation Studies (102 papers), Muscle activation and electromyography studies (28 papers) and Neuroscience and Neural Engineering (27 papers). Angel V. Peterchev is often cited by papers focused on Transcranial Magnetic Stimulation Studies (102 papers), Muscle activation and electromyography studies (28 papers) and Neuroscience and Neural Engineering (27 papers). Angel V. Peterchev collaborates with scholars based in United States, United Kingdom and Chile. Angel V. Peterchev's co-authors include Sarah H. Lisanby, S.R. Sanders, Zhi‐De Deng, Stefan M. Goetz, Warren M. Grill, Zhongxi Li, Aman S. Aberra, Boshuo Wang, Seth R. Sanders and David L. K. Murphy and has published in prestigious journals such as Nature Communications, Nature Materials and Journal of Neuroscience.

In The Last Decade

Angel V. Peterchev

172 papers receiving 7.2k citations

Hit Papers

Electric field depth–focality tradeoff in transcrani... 2003 2026 2010 2018 2012 2003 2022 200 400 600

Peers

Angel V. Peterchev
Chang‐Hwan Im South Korea
Dick F. Stegeman Netherlands
Eberhard E. Fetz United States
Jaimie M. Henderson United States
Warren M. Grill United States
Gerhard M. Friehs United States
Chang‐Hwan Im South Korea
Angel V. Peterchev
Citations per year, relative to Angel V. Peterchev Angel V. Peterchev (= 1×) peers Chang‐Hwan Im

Countries citing papers authored by Angel V. Peterchev

Since Specialization
Citations

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

Fields of papers citing papers by Angel V. Peterchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angel V. Peterchev. 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 Angel V. Peterchev. The network helps show where Angel V. Peterchev may publish in the future.

Co-authorship network of co-authors of Angel V. Peterchev

This figure shows the co-authorship network connecting the top 25 collaborators of Angel V. Peterchev. A scholar is included among the top collaborators of Angel V. Peterchev 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 Angel V. Peterchev. Angel V. Peterchev 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
2.
Wang, Boshuo, Lari M. Koponen, Stefan Goetz, et al.. (2025). Stochastic Approximator of Motor Threshold for Transcranial Magnetic Stimulation (SAMT): Performance in Clinical Trials. Brain stimulation. 18(4). 1291–1292.
3.
Gomez, Luis J., et al.. (2024). A semi-automated pipeline for finite element modeling of electric field induced in nonhuman primates by transcranial magnetic stimulation. Journal of Neuroscience Methods. 408. 110176–110176. 1 indexed citations
5.
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
6.
Peterchev, Angel V., et al.. (2023). Transcranial magnetic stimulation: the road to clinical therapy for dystonia. SHILAP Revista de lepidopterología. 2. 2 indexed citations
7.
Wang, Boshuo, Angel V. Peterchev, & Stefan M. Goetz. (2023). Three novel methods for determining motor threshold with transcranial magnetic stimulation outperform conventional procedures. Journal of Neural Engineering. 20(5). 56002–56002. 8 indexed citations
8.
Chen, Joshua, Peter Kan, Zhanghao Yu, et al.. (2022). A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves. Nature Biomedical Engineering. 6(6). 706–716. 163 indexed citations breakdown →
9.
Zeng, Zhiyong, et al.. (2022). Modular multilevel TMS device with wide output range and ultrabrief pulse capability for sound reduction. Journal of Neural Engineering. 19(2). 26008–26008. 17 indexed citations
10.
Wang, Boshuo, Zhongxi Li, Guillaume Duret, et al.. (2022). Subsecond multichannel magnetic control of select neural circuits in freely moving flies. Nature Materials. 21(8). 951–958. 48 indexed citations
11.
Wang, Boshuo, Aman S. Aberra, Warren M. Grill, & Angel V. Peterchev. (2022). Responses of model cortical neurons to temporal interference stimulation and related transcranial alternating current stimulation modalities. Journal of Neural Engineering. 19(6). 66047–66047. 28 indexed citations
12.
Turner, Dennis A., Simone Degan, Francesca Galeffi, Stephen L. Schmidt, & Angel V. Peterchev. (2020). Rapid, Dose-Dependent Enhancement of Cerebral Blood Flow by transcranial AC Stimulation in Mouse. Brain stimulation. 14(1). 80–87. 20 indexed citations
13.
Li, Zhongxi, et al.. (2020). Modulation and Control of Series/Parallel Module for Ripple-Current Reduction in Star-Configured Split-Battery Applications. IEEE Transactions on Power Electronics. 35(12). 12977–12987. 18 indexed citations
14.
Beynel, Lysianne, Simon W. Davis, Susan Hilbig, et al.. (2019). Online repetitive transcranial magnetic stimulation during working memory in younger and older adults: A randomized within-subject comparison. PLoS ONE. 14(3). e0213707–e0213707. 44 indexed citations
15.
Alavi, Seyed Mohammad Mahdi, Stefan M. Goetz, & Angel V. Peterchev. (2019). Optimal Estimation of Neural Recruitment Curves Using Fisher Information: Application to Transcranial Magnetic Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1320–1330. 14 indexed citations
16.
Gomez, Luis J., Moritz Dannhauer, Lari M. Koponen, & Angel V. Peterchev. (2019). Conditions for numerically accurate TMS electric field simulation. Brain stimulation. 13(1). 157–166. 75 indexed citations
17.
Elsayed, Nourhan M., Dianne A. Cruz, Ramona M. Rodriguiz, et al.. (2019). Relative abundance of Akkermansia spp. and other bacterial phylotypes correlates with anxiety- and depressive-like behavior following social defeat in mice. Scientific Reports. 9(1). 3281–3281. 104 indexed citations
18.
Thostenson, James O., Zhongxi Li, Alec Ajnsztajn, et al.. (2018). Integrated Flexible Conversion Circuit between a Flexible Photovoltaic and Supercapacitors for Powering Wearable Sensors. Journal of The Electrochemical Society. 165(8). B3122–B3129. 23 indexed citations
19.
Deng, Zhi‐De, et al.. (2015). Neural Effects of rTMS: Single Neuron Recordings From a Rhesus Macaque. Journal of Ect. 31(3). 1 indexed citations
20.
D’Ostilio, Kevin, Stefan M. Goetz, Matteo Ciocca, et al.. (2014). Effect of coil orientation on strength-duration time constant with controllable pulse parameter transcranial magnetic stimulation. Open Repository and Bibliography (University of Liège). 3 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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