Juan Cabral

619 total citations
11 papers, 39 citations indexed

About

Juan Cabral is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Juan Cabral has authored 11 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 4 papers in Computational Mechanics. Recurrent topics in Juan Cabral's work include Astronomical Observations and Instrumentation (4 papers), Astronomy and Astrophysical Research (4 papers) and Stellar, planetary, and galactic studies (2 papers). Juan Cabral is often cited by papers focused on Astronomical Observations and Instrumentation (4 papers), Astronomy and Astrophysical Research (4 papers) and Stellar, planetary, and galactic studies (2 papers). Juan Cabral collaborates with scholars based in Argentina, United States and Chile. Juan Cabral's co-authors include Pablo M. Granitto, S. Gurovich, B. Sánchez, Jake Vanderplas, D. Minniti, M. Lares, J. C. Beamín, Georgina Coldwell, M. V. Alonso and Adrián Rovero and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Annals of Operations Research.

In The Last Decade

Juan Cabral

9 papers receiving 36 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Juan Cabral Argentina	4	24	15	12	6	5	11	39
T. Szklenár Hungary	3	19 0.8×	8 0.5×	16 1.3×	3 0.5×	5 1.0×	8	31
E. S. Saunders United Kingdom	4	17 0.7×	14 0.9×	5 0.4×	4 0.7×	2 0.4×	7	34
Joshua T Briegal United Kingdom	2	44 1.8×	19 1.3×	6 0.5×	3 0.5×	4 0.8×	4	46
J. D. Ponz Spain	4	42 1.8×	7 0.5×	7 0.6×	4 0.7×	3 0.6×	7	53
Liam Raynard Germany	4	57 2.4×	27 1.8×	7 0.6×	3 0.5×	4 0.8×	4	58
Kushal Tirumala Israel	3	27 1.1×	4 0.3×	4 0.3×	12 2.0×	4 0.8×	3	46
Steven Boada United States	2	22 0.9×	9 0.6×	10 0.8×	2 0.3×	1 0.2×	3	33
P. Osuna Spain	3	11 0.5×	8 0.5×	8 0.7×	4 0.7×	2 0.4×	18	26
Martin Pokorný Czechia	3	30 1.3×	9 0.6×	4 0.3×	4 0.7×		12	50
F. Gasparo Italy	4	16 0.7×	19 1.3×	11 0.9×	3 0.5×		11	32

Countries citing papers authored by Juan Cabral

Since Specialization

Citations

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

Fields of papers citing papers by Juan Cabral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cabral. A scholar is included among the top collaborators of Juan Cabral 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 Juan Cabral. Juan Cabral is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Zhao, Tingting, et al.. (2025). A novel explainable artificial intelligence framework using knockoffs techniques with applications to sports analytics. Annals of Operations Research.

Abadi, M. G., et al.. (2024). Untangling stellar components of galaxies: Evaluation of dynamical decomposition methods in simulated galaxies with GalaxyChop. Astronomy and Astrophysics. 692. A63–A63. 1 indexed citations

Cabral, Juan, et al.. (2024). A Test for the Systematic Detection of Bowtie Effect and Stripping on the Edges of MODIS Images. 1–6.

Cabral, Juan, M. Lares, S. Gurovich, D. Minniti, & Pablo M. Granitto. (2021). Drifting features: Detection and evaluation in the context of automatic RR Lyrae identification in the VVV. Springer Link (Chiba Institute of Technology). 2 indexed citations

Cabral, Juan, et al.. (2021). Scikit-Criteria: colección de métodos de análisis multi-criterio integrado al stack científico de Python. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 4 indexed citations

Cabral, Juan, et al.. (2020). Automatic catalog of RR Lyrae from ∼14 million VVV light curves: How far can we go with traditional machine-learning?. Springer Link (Chiba Institute of Technology). 6 indexed citations

Cabral, Juan, et al.. (2020). Carpyncho: VVV Catalog browser toolkit. Astrophysics Source Code Library. 1 indexed citations

Pichel, A., M. V. Alonso, Adrián Rovero, et al.. (2019). High-energy gamma-ray sources in the VVV survey – I. The blazars. Monthly Notices of the Royal Astronomical Society. 491(3). 3448–3460. 4 indexed citations

Cabral, Juan, et al.. (2018). From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. Astronomy and Computing. 25. 213–220. 18 indexed citations

10.

Cabral, Juan, B. Sánchez, M. Beroiz, et al.. (2017). Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines. Astronomy and Computing. 20. 140–154. 2 indexed citations

11.

Cabral, Juan, Pablo M. Granitto, S. Gurovich, & D. Minniti. (2016). Generación de features en la búsqueda de estrellas variables en el relevamiento astronómico VVV. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 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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