S. Vargas Domínguez

758 total citations
36 papers, 428 citations indexed

About

S. Vargas Domínguez is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, S. Vargas Domínguez has authored 36 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 11 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in S. Vargas Domínguez's work include Solar and Space Plasma Dynamics (27 papers), Ionosphere and magnetosphere dynamics (15 papers) and Astro and Planetary Science (14 papers). S. Vargas Domínguez is often cited by papers focused on Solar and Space Plasma Dynamics (27 papers), Ionosphere and magnetosphere dynamics (15 papers) and Astro and Planetary Science (14 papers). S. Vargas Domínguez collaborates with scholars based in Colombia, Spain and United States. S. Vargas Domínguez's co-authors include L. van Driel‐Gesztelyi, J. Palacios, José Bonet, V. Domingo, L. Balmaceda, B. Schmieder, Yang Guo, P. Démoulin, V. Martı́nez Pillet and Yukio Katsukawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

S. Vargas Domínguez

31 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Vargas Domínguez Colombia 13 413 103 74 20 16 36 428
A. Berlicki Poland 15 594 1.4× 106 1.0× 39 0.5× 20 1.0× 15 0.9× 36 604
T. Roudier France 12 420 1.0× 80 0.8× 43 0.6× 11 0.6× 10 0.6× 29 434
L. Zhao United States 15 749 1.8× 195 1.9× 66 0.9× 19 0.9× 27 1.7× 35 777
V. M. J. Henriques Norway 13 425 1.0× 67 0.7× 94 1.3× 9 0.5× 12 0.8× 29 452
David Stansby United Kingdom 15 582 1.4× 180 1.7× 71 1.0× 15 0.8× 12 0.8× 33 591
Xianyong Bai China 13 423 1.0× 85 0.8× 66 0.9× 9 0.5× 14 0.9× 73 458
G. L. Slater United States 9 524 1.3× 128 1.2× 60 0.8× 20 1.0× 11 0.7× 21 542
K. Bocchialini France 15 488 1.2× 85 0.8× 55 0.7× 9 0.5× 16 1.0× 54 507
Francesco Pecora United States 11 284 0.7× 79 0.8× 26 0.4× 18 0.9× 10 0.6× 31 305
Roberto Susino Italy 13 370 0.9× 83 0.8× 45 0.6× 11 0.6× 12 0.8× 45 391

Countries citing papers authored by S. Vargas Domínguez

Since Specialization
Citations

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

Fields of papers citing papers by S. Vargas Domínguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Vargas Domínguez. 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 S. Vargas Domínguez. The network helps show where S. Vargas Domínguez may publish in the future.

Co-authorship network of co-authors of S. Vargas Domínguez

This figure shows the co-authorship network connecting the top 25 collaborators of S. Vargas Domínguez. A scholar is included among the top collaborators of S. Vargas Domínguez 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 S. Vargas Domínguez. S. Vargas Domínguez 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.
Villalba, Ricardo, et al.. (2024). Glacier fragmentation on the Southern Patagonian Icefield: a comprehensive analysis of the Upsala Glacier. Journal of Glaciology. 71. 1 indexed citations
2.
3.
Domínguez, S. Vargas, et al.. (2023). Exploring magnetic field properties at the boundary of solar pores: A comparative study based on SDO-HMI observations. Astronomy and Astrophysics. 674. A91–A91. 2 indexed citations
4.
Verscharen, Daniel, R. T. Wicks, C. J. Owen, et al.. (2022). Energy Transport during 3D Small-scale Reconnection Driven by Anisotropic Plasma Turbulence. The Astrophysical Journal. 938(1). 4–4. 7 indexed citations
5.
Flaquer, B. Ocaña, et al.. (2022). CARIBBEAN ASTRONOMY FOR INCLUSION (CAI): TRANSFORMING “THEORY” ON INCLUSION INTO CONCRETE ACTIONS. 54. 84–88. 1 indexed citations
6.
Utz, D., S. Vargas Domínguez, S. J. González Manrique, et al.. (2021). Observational evidence for two-component distributions describing solar magnetic bright points. Astronomy and Astrophysics. 657. A79–A79. 11 indexed citations
7.
Domínguez, S. Vargas, et al.. (2021). Latin American Network for Scientific Culture (RedLCC): A Regional Science Communication Initiative. SHILAP Revista de lepidopterología. 6. 654022–654022. 2 indexed citations
8.
Domínguez, S. Vargas, et al.. (2020). Análisis de polaridades magnéticas en regiones activas para la predicción de fulguraciones solares. Revista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales. 44(173). 984–995.
9.
Utz, D., et al.. (2019). Photospheric plasma and magnetic field dynamics during the formation of solar AR 11190. Astronomy and Astrophysics. 622. A168–A168. 6 indexed citations
10.
Domínguez, S. Vargas, et al.. (2016). Influencia del movimiento de vórtices de plasma en concentraciones magnéticas finas en la fotósfera solar. 11(20). 1–4. 1 indexed citations
11.
Domínguez, S. Vargas, et al.. (2016). Influence of a plasma swirl motion on fine magnetic concentrations in the solar photosphere. Zeitschrift für angewandte Mathematik und Physik. 11(20). 1–4. 1 indexed citations
12.
Domínguez, S. Vargas, et al.. (2016). Evolution of small-scale magnetic elements in regions with plasma vortices in the solar photosphere. 11(20). 1–4. 1 indexed citations
13.
Longcope, D. W., D. A. Lamb, C. E. DeForest, et al.. (2016). The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles. arXiv (Cornell University). 3194–3203. 1 indexed citations
14.
Schmieder, B., Yang Guo, F. Moreno‐Insertis, et al.. (2013). Twisting solar coronal jet launched at the boundary of an active region. Springer Link (Chiba Institute of Technology). 37 indexed citations
15.
Guo, Yang, et al.. (2013). Recurrent coronal jets induced by repetitively accumulated electric currents. Astronomy and Astrophysics. 555. A19–A19. 47 indexed citations
16.
Domínguez, S. Vargas, et al.. (2011). On Signatures of Twisted Magnetic Flux Tube Emergence. Solar Physics. 278(1). 33–45. 15 indexed citations
17.
Palacios, J., J. Blanco Rodríguez, S. Vargas Domínguez, et al.. (2011). Magnetic field emergence in mesogranular-sized exploding granules observed with sunrise/IMaX data. Astronomy and Astrophysics. 537. A21–A21. 16 indexed citations
18.
Suárez, D. Orozco, L. R. Bellot Rubio, V. Martı́nez Pillet, et al.. (2010). Retrieval of solar magnetic fields from high-spatial resolution filtergraph data: the Imaging Magnetograph eXperiment (IMaX). Astronomy and Astrophysics. 522. A101–A101. 4 indexed citations
19.
Domínguez, S. Vargas, Á. de Vicente, José Bonet, & V. Martı́nez Pillet. (2010). Characterization of horizontal flows around solar pores from high-resolution time series of images. Astronomy and Astrophysics. 516. A91–A91. 19 indexed citations
20.
Ishikawa, R., S. Tsuneta, Yukio Katsukawa, et al.. (2007). Relationships between magnetic foot points and G-band bright structures. Astronomy and Astrophysics. 472(3). 911–918. 48 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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