Luis J. Gomez

1.1k total citations
57 papers, 670 citations indexed

About

Luis J. Gomez is a scholar working on Electrical and Electronic Engineering, Neurology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luis J. Gomez has authored 57 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 18 papers in Neurology and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luis J. Gomez's work include Transcranial Magnetic Stimulation Studies (17 papers), Electromagnetic Scattering and Analysis (13 papers) and Advanced MRI Techniques and Applications (10 papers). Luis J. Gomez is often cited by papers focused on Transcranial Magnetic Stimulation Studies (17 papers), Electromagnetic Scattering and Analysis (13 papers) and Advanced MRI Techniques and Applications (10 papers). Luis J. Gomez collaborates with scholars based in United States, Spain and Singapore. Luis J. Gomez's co-authors include Angel V. Peterchev, Moritz Dannhauer, Abdulkadir C. Yücel, Eric Michielssen, Stefan M. Goetz, Lari M. Koponen, Luis Hernández-García, Francisco Serra-Graells, J.L. Huertas and G. Vergara and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Luis J. Gomez

57 papers receiving 652 citations

Peers

Luis J. Gomez

NEURO

EEE

RNMI

Hartmut Brauer Germany

Gregory M. Noetscher United States

K. Harada Japan

Joshua Guag United States

Marcel Zefferer Switzerland

Rob Mestrom Netherlands

Sunanda Mitra United States

Seok Lew United States

Jan Vrba Czechia

Sangwon Lee South Korea

Hartmut Brauer Germany

Luis J. Gomez

69 ×0.2

NEURO

265 ×1.2

EEE

130 ×0.7

231 ×1.4

220 ×1.6

RNMI

Citations per year, relative to Luis J. Gomez Luis J. Gomez (= 1×) peers Hartmut Brauer

Countries citing papers authored by Luis J. Gomez

Since Specialization

Citations

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

Fields of papers citing papers by Luis J. Gomez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis J. Gomez. 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 Luis J. Gomez. The network helps show where Luis J. Gomez may publish in the future.

Co-authorship network of co-authors of Luis J. Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Luis J. Gomez. A scholar is included among the top collaborators of Luis J. Gomez 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 Luis J. Gomez. Luis J. Gomez 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

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

Gomez, Luis J., et al.. (2024). Novel Volume Integral Equation Approach for Low-Frequency E-Field Dosimetry of Transcranial Magnetic Stimulation. IEEE Transactions on Magnetics. 60(12). 1–7. 1 indexed citations

Aberra, Aman S., et al.. (2024). A boundary element method of bidomain modeling for predicting cellular responses to electromagnetic fields. Journal of Neural Engineering. 21(3). 36050–36050. 1 indexed citations

Gomez, Luis J., et al.. (2024). Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks. Computer Methods and Programs in Biomedicine. 250. 108167–108167. 11 indexed citations

Dannhauer, Moritz, et al.. (2024). Real-time computation of brain E-field for enhanced transcranial magnetic stimulation neuronavigation and optimization. Imaging Neuroscience. 3. 5 indexed citations

Wang, Dezhi, et al.. (2023). Fast and accurate computational E-field dosimetry for group-level transcranial magnetic stimulation targeting. Computers in Biology and Medicine. 167. 107614–107614. 6 indexed citations

Dannhauer, Moritz, Luis J. Gomez, Dezhi Wang, et al.. (2023). Electric Field Modeling in Personalizing Transcranial Magnetic Stimulation Interventions. Biological Psychiatry. 95(6). 494–501. 20 indexed citations

Wang, Dezhi, et al.. (2023). Fast computational E-field dosimetry for transcranial magnetic stimulation using adaptive cross approximation and auxiliary dipole method (ACA-ADM). NeuroImage. 267. 119850–119850. 13 indexed citations

Gomez, Luis J., et al.. (2023). Integral Equation for Analyzing Neuron Response to Non-invasive Electromagnetic Brain Stimulation. 1–2. 1 indexed citations

10.

Gomez, Luis J., et al.. (2022). Uncertainty quantification of TMS simulations considering MRI segmentation errors. Journal of Neural Engineering. 1 indexed citations

11.

Zhang, Hao, Luis J. Gomez, & Johann Guilleminot. (2022). Uncertainty quantification of TMS simulations considering MRI segmentation errors. Journal of Neural Engineering. 19(2). 26022–26022. 4 indexed citations

12.

Zhang, Hao, Johann Guilleminot, & Luis J. Gomez. (2021). Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries. Computer Methods in Applied Mechanics and Engineering. 385. 114014–114014. 16 indexed citations

13.

Gomez, Luis J., Moritz Dannhauer, & Angel V. Peterchev. (2020). Fast computational optimization of TMS coil placement for individualized electric field targeting. NeuroImage. 228. 117696–117696. 72 indexed citations

14.

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

15.

Wang, Boshuo, et al.. (2018). Redesigning existing transcranial magnetic stimulation coils to reduce energy: application to low field magnetic stimulation. Journal of Neural Engineering. 15(3). 36022–36022. 30 indexed citations

16.

Gomez, Luis J., Stefan M. Goetz, & Angel V. Peterchev. (2018). Design of transcranial magnetic stimulation coils with optimal trade-off between depth, focality, and energy. Journal of Neural Engineering. 15(4). 46033–46033. 69 indexed citations

17.

Yücel, Abdulkadir C., Luis J. Gomez, & Eric Michielssen. (2015). Tucker decomposition for compressing translation operator tensors in FMM-FFT accelerated SIE solvers. 141–141. 1 indexed citations

18.

Lima, H.P., et al.. (2014). Data Acquisition with Optimal Pulse Amplitude Estimation for a Neutrino Detection Experiment. 4(2). 34–41. 2 indexed citations

19.

Hernández-García, Luis, Timothy L. Hall, Luis J. Gomez, & Eric Michielssen. (2010). A numerically optimized active shield for improved transcranial magnetic stimulation targeting. Brain stimulation. 3(4). 218–225. 11 indexed citations

20.

Serra-Graells, Francisco, et al.. (2001). A true 1V CMOS log-domain analog hearing-aid-on-a-chip. European Solid-State Circuits Conference. 405–408. 4 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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