G. Cabrera-Vives

972 total citations
36 papers, 411 citations indexed

About

G. Cabrera-Vives is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, G. Cabrera-Vives has authored 36 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 6 papers in Artificial Intelligence and 4 papers in Environmental Engineering. Recurrent topics in G. Cabrera-Vives's work include Gamma-ray bursts and supernovae (10 papers), Stellar, planetary, and galactic studies (7 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). G. Cabrera-Vives is often cited by papers focused on Gamma-ray bursts and supernovae (10 papers), Stellar, planetary, and galactic studies (7 papers) and Galaxies: Formation, Evolution, Phenomena (6 papers). G. Cabrera-Vives collaborates with scholars based in Chile, United States and United Kingdom. G. Cabrera-Vives's co-authors include F. Förster, P. A. Estévez, J. C. Maureira, I. Reyes, Simón Casassus, A. C. S. Readhead, C. L. Dickinson, T. J. Pearson, Miguel A. Mariño and Pavlos Protopapas and has published in prestigious journals such as The Astrophysical Journal, International Journal of Molecular Sciences and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

G. Cabrera-Vives

31 papers receiving 378 citations

Peers

G. Cabrera-Vives
Dalya Baron Israel
Nesar Ramachandra United States
Markus Michael Rau United States
S. Shahaf Israel
Lewis Smith United Kingdom
J. C. Maureira Chile
Zhichen Pan China
M. Galassi United States
Ibrahim Almosallam Saudi Arabia
Yunfei Yang China
Dalya Baron Israel
G. Cabrera-Vives
Citations per year, relative to G. Cabrera-Vives G. Cabrera-Vives (= 1×) peers Dalya Baron

Countries citing papers authored by G. Cabrera-Vives

Since Specialization
Citations

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

Fields of papers citing papers by G. Cabrera-Vives

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Cabrera-Vives. 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 G. Cabrera-Vives. The network helps show where G. Cabrera-Vives may publish in the future.

Co-authorship network of co-authors of G. Cabrera-Vives

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cabrera-Vives. A scholar is included among the top collaborators of G. Cabrera-Vives 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 G. Cabrera-Vives. G. Cabrera-Vives 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.
Sanchéz-Sáez, P., et al.. (2025). ALeRCE light curve classifier: Tidal disruption event expansion pack. Astronomy and Astrophysics. 696. A153–A153. 1 indexed citations
2.
Cabrera-Vives, G., et al.. (2025). Leveraging pre-trained vision Transformers for multi-band photometric light curve classification. Astronomy and Astrophysics. 703. A41–A41. 1 indexed citations
3.
Hernández, Mauricio, Elena Uribe, José L. Gutiérrez, et al.. (2024). Enhancing late postmortem interval prediction: a pilot study integrating proteomics and machine learning to distinguish human bone remains over 15 years. Biological Research. 57(1). 75–75. 2 indexed citations
4.
Cabrera-Vives, G., et al.. (2024). ATAT: Astronomical Transformer for time series and Tabular data. Astronomy and Astrophysics. 689. A289–A289. 8 indexed citations
5.
6.
Cabrera-Vives, G., et al.. (2024). Quantifying massively parallel microbial growth with spatially mediated interactions. PLoS Computational Biology. 20(7). e1011585–e1011585. 3 indexed citations
7.
Cabrera-Vives, G., et al.. (2024). Mitigating bias in deep learning: training unbiased models on biased data for the morphological classification of galaxies. Monthly Notices of the Royal Astronomical Society. 531(1). 52–60. 4 indexed citations
8.
Reyes, I., F. Förster, A. Muñoz-Arancibia, et al.. (2023). Multiscale Stamps for Real-time Classification of Alert Streams. The Astrophysical Journal Letters. 952(2). L43–L43. 3 indexed citations
9.
Cabrera-Vives, G., L. Hernández-García, F. Förster, et al.. (2023). Alert Classification for the ALeRCE Broker System: The Anomaly Detector. The Astronomical Journal. 166(4). 151–151. 2 indexed citations
10.
Sanchéz-Sáez, P., A. Bayo, P. Arévalo, et al.. (2023). Persistent and occasional: Searching for the variable population of the ZTF/4MOST sky using ZTF Data Release 11. Astronomy and Astrophysics. 675. A195–A195. 17 indexed citations
11.
Cabrera-Vives, G., et al.. (2023). A Novel Two-Phase Approach to Forest Harvesting Optimization Using Cable Logging. Forests. 14(11). 2133–2133. 1 indexed citations
12.
Hernández, Mauricio, Elard Koch, Felipe E. Reyes‐López, et al.. (2022). Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer. International Journal of Molecular Sciences. 23(19). 11065–11065. 4 indexed citations
13.
Ormazábal, Valeska, Estefanía Nova‐Lamperti, Daniela Rojas, et al.. (2022). Secretome from Human Mesenchymal Stem Cells-Derived Endothelial Cells Promotes Wound Healing in a Type-2 Diabetes Mouse Model. International Journal of Molecular Sciences. 23(2). 941–941. 20 indexed citations
14.
Becker, Ignacio, et al.. (2022). ASTROMER. Astronomy and Astrophysics. 670. A54–A54. 20 indexed citations
15.
Molina, Roberto Zayas, et al.. (2022). Precision silviculture: use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops. International Journal of Digital Earth. 15(1). 2223–2238. 9 indexed citations
16.
Sanchéz-Sáez, P., Luis Martí, Nayat Sánchez-Pi, et al.. (2021). Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors. The Astronomical Journal. 162(5). 206–206. 25 indexed citations
17.
Bauer, F. E., G. Pignata, F. Förster, et al.. (2020). ALeRCE/ZTF Transient Discovery Report for 2020-02-04. 1.
18.
Huertas-Company, Marc, Pablo G. Pérez‐González, S. Mei, et al.. (2015). The morphologies of massive galaxies from z ~ 3-witnessing the two channels of bulge growth. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 49 indexed citations
19.
Anderson, J. P., F. Förster, Craig Smith, et al.. (2015). Optical spectrosopy of HiTS supernovae. ATel. 7335. 1.
20.
Förster, F., H. Kuncarayakti, L. Galbany, et al.. (2015). Optical spectra of SNHiTS15al, SNHiTS15be, SNHiTS15bs and SNHiTS15by. The astronomer's telegram. 7291. 1.

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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