Publications

Research.
Proceedings.
Outreach and educational.
Textbooks.
Peer reviews.

Total: 25
By Indexing: 13 JCR, 6 Q4, 1 CONACYT, 2 Preprint, 1 SEP Book, 3 Other.
By Category: 14 Research, 6 Proceedings, 6 Educational/Outreach, 1 Textbooks.

ORCiD

ResearchGate

Scholar

ADS

arXiV.

Research

Total: 14 | 12 JCR | 2 preprint |

[10 as 1st/2nd author.]

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: Developed methodological and conceptual aspects of the study, wrote and reviewed the manuscript. Provided guidance to the PhD student (first author). Corresponding author.
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, 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 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 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, 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, 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 |

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, 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

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.
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., Vázquez, J. A., & García-Salcedo, R. (2019) Una Aplicación de las redes neuronales en la cosmología. Komputer Sapiens, outreach journal of the Sociedad Mexicana de Inteligencia Artificial -Mexican Society of Artificial Intelligence-.
Contribution: Lead author.
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.
Gómez Vargas, Isidro (2017) Posibilidad didáctica de la Realidad Aumentada. Sólo ensayo. Antología de jóvenes escritores Volumen II.

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.

Medel Esquivel, R., García Salcedo, R. & Gómez Vargas, I. (2020) Matemáticas III. Serie Travesías. Ediciones Castillo. ISBN: 978-607-540-522-3. Book authorized by Secretaría de Educación Pública (SEP) and CONALITEG..
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.
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.
Gómez Vargas, I. (2018) Matemáticas II. Guía para maestros. Serie Infinita.Ediciones Castillo. ISBN: 978-607-540-464-6.
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.