Total: 26
By Indexing: 13 JCR, 6 Q4, 1 CONACYT, 3 Preprint, 1 SEP Book, 3 Other.
By Category: 15 Research, 6 Proceedings, 6 Educational/Outreach, 1 Textbooks.
| ORCiD | ResearchGate | Scholar | ADS | arXiV. |
Research
Total: 15 | 12 JCR | 3 preprint |
[10 as 1st/2nd author.]
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Chacón-Lavanderos, J., Gómez-Vargas, I., Menchaca-Mendez, R., & Vázquez, J. A. (2025). Variational autoencoder for generating realistic $ N $-body simulations for dark matter halos. arXiv preprint arXiv:2507.18054.
Contribution: Contribution methodological and conceptual aspects of the study, wrote and reviewed the manuscript. Developer of the GitHub Repository. Provided guidance to the PhD student (first author). Corresponding author. -
Chaudhary, H., Capozziello, S., Sharma, V. K., Gómez-Vargas, I., & Mustafa, G. (2025). Evidence for Evolving Dark Energy from LRG1 and Low-$ z $ SNe Ia Data. arXiv preprint arXiv:2508.10514.
Contribution: Bayesian statistical analysis, writing the data analysis section. -
Di Valentino, E., et al (including Gómez-Vargas, I.)(2025). The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics, Physics of the Dark Universe, 101965
Contribution: Authored and critically reviewed Sections 3.3 Reconstruction techniques and 3.4 Bioinspired algorithms in model selection, contributing expertise in machine learning methods and genetic algorithms. -
Tamayo, D., Urquilla, E. & Gómez-Vargas, I. (2025). Equivalence of Dark Energy Models: A Theoretical and Bayesian Perspective. Physics of the Dark Universe. 101901(48).
Contribution: Led the Bayesian statistical analysis, authored the data analysis section, and contributed to the overall scientific review and refinement of the manuscript. Corresponding author. -
Zhao, Y., Dumusque, X., Cretignier, M., Cameron, A.C., Latham, D.W., López-Morales, M., Mayor, M., Sozzetti, A., Cosentino, R., Gómez-Vargas, I., Pepe, F., & Udry, S. (2024). Improving Earth-like planet detection in radial velocity using deep learning. Astronomy & Astrophysics. 687, A281.
Contribution: Participated in the critical review of the manuscript, ensuring methodological clarity in the use of the neural network models. -
Gómez-Vargas, I., & Vázquez, J. A. (2024). Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up. Physical Review D. 110(8) 083518.
Contribution: Lead author. Responsible for conceptualization, methodology, coding, analysis, GitHub Repository and writing. -
Garcia-Arroyo, G., Gómez-Vargas, I., & Vázquez, J. A. (2024). Reconstructing rotation curves with artificial neural networks. arXiv:2404.05833v1.
Contribution: Co-lead author. Designed and implemented the methodology, carried out coding, GitHub Repository and analysis, and wrote the manuscript. Corresponding author. -
Mitra, A., Gómez-Vargas, I., & Zarikas, V. (2024). Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory. Physics of the Dark Universe, 101706.
Contribution: Co-lead author. Performed the majority of the conceptual and methodological development, led the coding, GitHub Repository, and writing. Corresponding author. -
García-Salcedo, R., Gómez-Vargas, I., González, T., Martinez-Badenes, V., & Quiros, I. (2024). Combined Studies Approach to Rule Out Cosmological Models Which Are Based on Nonlinear Electrodynamics. Universe, 10(9), 353.
Contribution: Conducted Bayesian analysis, contributed to the data interpretation, wrote the data analysis section, and provided scientific oversight through manuscript review. -
Vázquez, J. A., Tamayo, D., Garcia-Arroyo, G., Gómez-Vargas, I., Quiros, I. & Sen, Anjan A. (2024). Coupled Multi Scalar Field Dark Energy. Physical Review D. 109(2) 023511.
Contribution: Executed the Bayesian statistical framework, authored the data analysis section, update of the data in SimpleMC for this paper, and provided scientific oversight through manuscript review. -
Gómez-Vargas, I., Vázquez, J. A., Esquivel, R. M., & García-Salcedo, R. (2023). Neural Network Reconstructions for the Hubble Parameter, Growth Rate and Distance Modulus. European Physical Journal C. 83(4). 304.
Contribution: Lead author. Responsible for conceptualization, methodology, coding,GitHub Repository analysis, and writing. -
Gómez-Vargas, I., Andrade, J. B., & Vázquez, J. A. (2023). Neural Networks Optimized by Genetic Algorithms in Cosmology. Physical Review D. 107(4). 043509.
Contribution: Lead author. Responsible for conceptualization, methodology, coding, GitHub Repository, analysis, and writing. -
Medel Esquivel, R., Gómez-Vargas, I., Morales Sánchez, AA., García-Salcedo, R. & Vázquez, J. A. (2023). Cosmological parameter estimation with Genetic Algorithms. Universe. 10(1) 11.
Contribution: Co-lead author. Designed the study, developed the algorithms and codebase, and authored substantial parts of the paper. Provided guidance to the PhD student (first author). -
Chacón, J., Gómez-Vargas, I., Menchaca Mendez, R., & Vázquez, J. A. (2023). Analysis of Dark Matter Halo Structure Formation in N-body Simulations with Machine Learning. Physical Review D. 107(12). 123515.
Contribution: Conceptual and methodological aspects, developed code and analysis; substantially contributed to writing. Provided guidance to the PhD student (first author). -
Rojas Olvera, J. de Dios , Gómez-Vargas, I., & Vázquez, J. A. (2022). Observational Cosmology with Artificial Neural Networks. Universe, 8(2), 120.
Contribution: Advised the undergraduated student (first author), contributed to the manuscript writing, and ensured scientific rigor.
Proceedings
Total: 6 | 5 Q4 | 1 other |
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Gómez-Vargas, I., Esquivel, R. M., García-Salcedo, R., & Vázquez, J. A. (2021). Neural network within a bayesian inference framework. In Journal of Physics: Conference Series (Vol. 1723, No. 1, p. 012022). IOP Publishing.
Contribution: Lead author. -
Medel-Esquivel, R., Gómez-Vargas, I., Montalvo, T. R., Vázquez, J. A., & García-Salcedo, R. (2021). The inverse problem of a dynamical system solved with genetic algorithms. In Journal of Physics: Conference Series (Vol. 1723, No. 1, p. 012021). IOP Publishing.
Contribution: Reviewed the manuscript and contributed to coding. -
Toledo, M. R., Vázquez, E. R., García-Salcedo, R., Gómez-Vargas, I., Uruchurtu, E. S., & Rivera-Montalvo, T. (2021). Data Mining applied to interventional cardiology procedures. In Journal of Physics: Conference Series (Vol. 1723, No. 1, p. 012034). IOP Publishing.
Contribution: Reviewed the manuscript, contributed to coding, GitHub Repository, and assisted the undergraduate student (first author). -
Vazquez, JA, Gómez-Vargas, I & Medel-Esquivel, R. (2019) Cosmología observacional con Redes Neuronales Artificiales. Proceedings of the UNAM Physics Summer School.
Contribution: Co-lead author. -
Medel-Esquivel, R., Gómez-Vargas, I., Rivera-Moltalvo, T., & Salcedo, R. G. (2019, June). Cosmological evolution for magnetic universe based in a simple nonlinear electrodynamics. In Journal of Physics: Conference Series (Vol. 1221, No. 1, p. 012038). IOP Publishing.
Contribution: Reviewed the manuscript. -
Gómez-Vargas, I., Medel-Esquivel, R., & García-Salcedo, R. (2019, June). Cosmic voids, spatial algorithms and data structures. In Journal of Physics: Conference Series (Vol. 1221, No. 1, p. 012031). IOP Publishing.
Contribution: Lead author.
Educational and outreach
Total: 6 | 1 JCR | 1 CONACYT | 1 Q4 | 2 other |
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Medel Esquivel, R., Gómez-Vargas, I., Vázquez, J. A., & Salcedo, R. G. (2021). An introduction to markov chain monte carlo. Boletín de Estadística e Investigación Operativa, 1(37), 47-74.
Contribution: Reviewed the manuscript and contributed to coding examples and GitHub Repository. -
Medel-Esquivel, R., Gómez-Vargas, I., García-Salcedo, R., & Vázquez, J. A. (2021). A Simple Estimation of the Size of Carbon Atoms Using a Pencil Lead. The Physics Teacher, 59(6), 480-481.
Contribution: Contributed to project discussion and manuscript review. -
Gómez-Vargas, I., Medel Esquivel, R. M., & García-Salcedo, R. (2018). Realidad Aumentada como herramienta didáctica en geometría 3D. Latin-American Journal of Physics Education, 12(4), 3.
Contribution: Lead author and developer of the GitHub Repository.
Textbooks
Total: 5 | 1 SEP book | 4 Supplementary material |
SEP book refers to a textbook approved by the Secretaría de Educación Pública (SEP) and utilized in public high schools:
Supplementary materials are additional resources, such as guides for teachers or students, designed to support the main textbook used in their courses. Since these materials are complementary, I do not count them in my publication count:
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Gómez Vargas, I. (2018) Guía didáctica “Ciencias 2. Física. Secundaria Savia. Guía Esencial para aprender a pensar”, 3th ed. Editorial SM. ISBN: 978-607-24-2959-8.
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Corona Tinoco, M. & Gómez Vargas, I. (2018) Guía didáctica “Ciencias 3. Química. Secundaria Savia. Guía Esencial para aprender a pensar”, 1st ed. Editorial SM. ISBN: 978-607-24-2958-1.
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Gómez Vargas, I. (2018) Matemáticas II. Guía para maestros. Serie Infinita.Ediciones Castillo. ISBN: 978-607-540-464-6.
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Gómez Vargas, I. (2018) Matemáticas I. Guía para maestros. Serie Infinita. Ediciones Castillo. ISBN: 978-607-540-361-8.
Peer reviews
- 4 Physical Review D. Private info.
- 1 IEEE Transactions on Pattern Analysis and Machine Intelligence. Private info.
- 1 Physics of the Dark Universe. Private info.
- 1 European Physical Journal C. Private info.
- 1 Indian Journal of Physics. Private info.
- 1 Ciencia ergo-sum. Private info.
- 1 Frontiers in Public Health. Public info.