Thomas Tarnaud

581 total citations
20 papers, 73 citations indexed

About

Thomas Tarnaud is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Thomas Tarnaud has authored 20 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Thomas Tarnaud's work include Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (6 papers) and Ultrasound and Hyperthermia Applications (5 papers). Thomas Tarnaud is often cited by papers focused on Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (6 papers) and Ultrasound and Hyperthermia Applications (5 papers). Thomas Tarnaud collaborates with scholars based in Belgium, Japan and Netherlands. Thomas Tarnaud's co-authors include Emmeric Tanghe, Wout Joseph, Luc Martens, Robrecht Raedt, Roel Van Holen, Eugenijus Kaniušas, Stefan Kampusch, Timothy Van Renterghem, Liesbet Martens and Akimasa Hirata and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Journal of Neural Engineering.

In The Last Decade

Thomas Tarnaud

18 papers receiving 72 citations

Peers

Thomas Tarnaud
Charles Wang United States
Hazael Montanaro Switzerland
Carey B. Miller United States
Peter E. Yoo Australia
Thomas Tarnaud
Citations per year, relative to Thomas Tarnaud Thomas Tarnaud (= 1×) peers Amine M. Samoudi

Countries citing papers authored by Thomas Tarnaud

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Tarnaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Tarnaud

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Tarnaud. A scholar is included among the top collaborators of Thomas Tarnaud 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 Thomas Tarnaud. Thomas Tarnaud 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.
Laakso, Ilkka, et al.. (2025). Locating activation sites of TMS with opposite current directions using probabilistic modelling and biophysical axon models. Brain stimulation. 18(2). 215–224. 1 indexed citations
2.
Gómez-Tames, José, Thomas Tarnaud, Wout Joseph, & Emmeric Tanghe. (2025). Numerical Study on Human Brain Cortical Electrostimulation Assessment During Uniform Magnetic Field Exposure at Intermediate Frequencies. IEEE Access. 13. 124955–124961.
4.
Tarnaud, Thomas, et al.. (2024). Nonlinearities and timescales in neural models of temporal interference stimulation. Bioelectromagnetics. 46(1). e22522–e22522. 1 indexed citations
5.
Tarnaud, Thomas, et al.. (2023). Quantitative analysis of the optogenetic excitability of CA1 neurons. Frontiers in Computational Neuroscience. 17. 1229715–1229715. 1 indexed citations
6.
Tarnaud, Thomas, et al.. (2022). Influence of Temporal Interference Stimulation Parameters on Point Neuron Excitability. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 2365–2368. 4 indexed citations
7.
Tarnaud, Thomas, et al.. (2021). Improved alpha-beta power reduction via combined electrical and ultrasonic stimulation in a parkinsonian cortex-basal ganglia-thalamus computational model. Journal of Neural Engineering. 18(6). 66043–66043. 3 indexed citations
8.
Tarnaud, Thomas, et al.. (2021). Double Two-State Opsin Model With Autonomous Parameter Inference. Frontiers in Computational Neuroscience. 15. 688331–688331. 2 indexed citations
9.
Tarnaud, Thomas, et al.. (2021). Membrane Charge Oscillations During Ultrasonic Neuromodulation by Intramembrane Cavitation. IEEE Transactions on Biomedical Engineering. 68(9). 2892–2903. 3 indexed citations
10.
Tarnaud, Thomas, et al.. (2020). SECONIC: Towards multi-compartmental models for ultrasonic brain stimulation by intramembrane cavitation *. Journal of Neural Engineering. 17(5). 56010–56010. 6 indexed citations
11.
Tanghe, Emmeric, Thomas Tarnaud, Stefan Kampusch, et al.. (2020). Sensitivity Study of Neuronal Excitation and Cathodal Blocking Thresholds of Myelinated Axons for Percutaneous Auricular Vagus Nerve Stimulation. IEEE Transactions on Biomedical Engineering. 67(12). 3276–3287. 7 indexed citations
12.
Tarnaud, Thomas, Wout Joseph, Luc Martens, Timothy Van Renterghem, & Emmeric Tanghe. (2019). Ultrasonic neuromodulation in multi-compartmental neuron models. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
13.
Gómez-Tames, José, Thomas Tarnaud, Akimasa Hirata, et al.. (2019). Brain Cortical Stimulation Thresholds to Different Magnetic Field Sources Exposures at Intermediate Frequencies. IEEE Transactions on Electromagnetic Compatibility. 61(6). 1944–1952. 9 indexed citations
14.
Gómez-Tames, José, Essam A. Rashed, Akimasa Hirata, et al.. (2019). Setting Reference Level in Human Safety Guidelines via Cortical Nerve Activation Intercomparison at IF. Ghent University Academic Bibliography (Ghent University). 162–165. 1 indexed citations
15.
Nikolayev, Denys, Emmeric Tanghe, Marleen Welkenhuysen, et al.. (2019). Proceedings #63: Low-Profile 3D Microelectrodes with Near-Uniform Current Density for High-Resolution Neural Stimulation. Brain stimulation. 12(4). e155–e157. 1 indexed citations
16.
Tarnaud, Thomas, Wout Joseph, Liesbet Martens, Timothy Van Renterghem, & Emmeric Tanghe. (2019). Interaction of electrical and ultrasonic neuromodulation: a computational study. Brain stimulation. 12(2). 563–563. 3 indexed citations
17.
Tarnaud, Thomas, Wout Joseph, Luc Martens, & Emmeric Tanghe. (2018). Dependence of excitability indices on membrane channel dynamics, myelin impedance, electrode location and stimulus waveforms in myelinated and unmyelinated fibre models. Medical & Biological Engineering & Computing. 56(9). 1595–1613. 10 indexed citations
18.
Tarnaud, Thomas, et al.. (2018). Comparison between Direct Electrical and Optogenetic Subthalamic Nucleus Stimulation. Ghent University Academic Bibliography (Ghent University). 1–2. 6 indexed citations
19.
Tarnaud, Thomas, Wout Joseph, Luc Martens, & Emmeric Tanghe. (2018). Computational Modeling of Ultrasonic Subthalamic Nucleus Stimulation. IEEE Transactions on Biomedical Engineering. 66(4). 1155–1164. 12 indexed citations
20.
Tarnaud, Thomas, Emmeric Tanghe, Luc Martens, & Wout Joseph. (2017). Effect of myelin parameters and membrane channel dynamics in the SENN model. Brain stimulation. 10(2). 384–386. 1 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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