C. J. Díaz Baso

491 total citations
20 papers, 274 citations indexed

About

C. J. Díaz Baso is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, C. J. Díaz Baso has authored 20 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in C. J. Díaz Baso's work include Solar and Space Plasma Dynamics (18 papers), Stellar, planetary, and galactic studies (15 papers) and Solar Radiation and Photovoltaics (4 papers). C. J. Díaz Baso is often cited by papers focused on Solar and Space Plasma Dynamics (18 papers), Stellar, planetary, and galactic studies (15 papers) and Solar Radiation and Photovoltaics (4 papers). C. J. Díaz Baso collaborates with scholars based in Sweden, Spain and Norway. C. J. Díaz Baso's co-authors include A. Asensio Ramos, J. de la Cruz Rodríguez, J. Leenaarts, S. Danilović, M. J. Martínez González, D. Kiselman, L. Rouppe van der Voort, D. J. M. Petit dit de la Roche, G. J. M. Vissers and Graham S. Kerr and has published in prestigious journals such as Astronomy and Astrophysics and Springer Link (Chiba Institute of Technology).

In The Last Decade

C. J. Díaz Baso

20 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. J. Díaz Baso Sweden 10 234 65 45 25 18 20 274
A. Pastor Yabar Spain 9 163 0.7× 45 0.7× 44 1.0× 21 0.8× 15 0.8× 23 199
Xianyong Bai China 13 423 1.8× 66 1.0× 85 1.9× 14 0.6× 20 1.1× 73 458
Igor Khazanov United States 8 252 1.1× 71 1.1× 53 1.2× 9 0.4× 20 1.1× 16 267
E. Mazy Belgium 5 314 1.3× 29 0.4× 48 1.1× 7 0.3× 18 1.0× 21 352
G. J. M. Vissers Norway 14 631 2.7× 82 1.3× 87 1.9× 11 0.4× 12 0.7× 23 655
V. M. J. Henriques Norway 13 425 1.8× 94 1.4× 67 1.5× 5 0.2× 22 1.2× 29 452
Tatiana Podladchikova Russia 13 422 1.8× 97 1.5× 89 2.0× 18 0.7× 5 0.3× 50 483
B. Nicula Belgium 8 262 1.1× 73 1.1× 36 0.8× 6 0.2× 8 0.4× 26 309
Yongyuan Xiang China 15 614 2.6× 85 1.3× 108 2.4× 31 1.2× 23 1.3× 33 662
R. Gafeira Portugal 11 261 1.1× 79 1.2× 37 0.8× 6 0.2× 8 0.4× 28 277

Countries citing papers authored by C. J. Díaz Baso

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Díaz Baso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. J. Díaz Baso. 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 C. J. Díaz Baso. The network helps show where C. J. Díaz Baso may publish in the future.

Co-authorship network of co-authors of C. J. Díaz Baso

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Díaz Baso. A scholar is included among the top collaborators of C. J. Díaz Baso 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 C. J. Díaz Baso. C. J. Díaz Baso 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.
Baso, C. J. Díaz, et al.. (2025). Automatic detection of Ellerman bombs using deep learning. Astronomy and Astrophysics. 699. A54–A54. 1 indexed citations
2.
Danilović, S., et al.. (2025). Coronal kink oscillations and photospheric driving. Astronomy and Astrophysics. 696. A125–A125. 2 indexed citations
3.
Kuckein, C., M. Collados, A. Asensio Ramos, et al.. (2025). Inferring chromospheric velocities in an M3.2 flare using He I 1083.0 nm and Ca II 854.2 nm. Astronomy and Astrophysics. 699. A121–A121. 1 indexed citations
4.
Leenaarts, J., M. van Noort, J. de la Cruz Rodríguez, et al.. (2025). High flow speeds and transition-region-like temperatures in the solar chromosphere during flux emergence. Astronomy and Astrophysics. 696. A3–A3. 6 indexed citations
5.
Baso, C. J. Díaz, et al.. (2024). Exploring spectropolarimetric inversions using neural fields. Astronomy and Astrophysics. 693. A170–A170. 5 indexed citations
6.
Baso, C. J. Díaz, et al.. (2024). Spectral resolution effects on the information content in solar spectra. Astronomy and Astrophysics. 693. A272–A272. 1 indexed citations
7.
Ramos, A. Asensio, et al.. (2024). Properties of sunspot light bridges on a geometric height scale. Astronomy and Astrophysics. 689. A255–A255. 2 indexed citations
8.
Baso, C. J. Díaz, L. Rouppe van der Voort, J. de la Cruz Rodríguez, & J. Leenaarts. (2023). Designing wavelength sampling for Fabry–Pérot observations. Astronomy and Astrophysics. 673. A35–A35. 4 indexed citations
9.
Rodríguez, J. de la Cruz, et al.. (2022). Spatio-temporal analysis of chromospheric heating in a plage region. Astronomy and Astrophysics. 664. A8–A8. 19 indexed citations
10.
Rodríguez, J. de la Cruz, et al.. (2022). Radiative losses in the chromosphere during a C-class flare. Astronomy and Astrophysics. 665. A50–A50. 6 indexed citations
11.
Kiselman, D., et al.. (2022). Center-to-limb variation of spectral lines and continua observed with SST/CRISP and SST/CHROMIS. Astronomy and Astrophysics. 671. A130–A130. 16 indexed citations
12.
Baso, C. J. Díaz, et al.. (2021). Stratification of physical parameters in a C-class solar flare using multiline observations. Astronomy and Astrophysics. 649. A106–A106. 19 indexed citations
13.
Baso, C. J. Díaz, J. de la Cruz Rodríguez, & J. Leenaarts. (2021). An observationally constrained model of strong magnetic reconnection in the solar chromosphere. Astronomy and Astrophysics. 647. A188–A188. 31 indexed citations
14.
Vissers, G. J. M., S. Danilović, J. de la Cruz Rodríguez, et al.. (2020). Non-LTE inversions of a confined X2.2 flare. Astronomy and Astrophysics. 645. A1–A1. 13 indexed citations
15.
Rodríguez, J. de la Cruz, et al.. (2019). Three-dimensional magnetic field structure of a flux-emerging region in the solar atmosphere. Springer Link (Chiba Institute of Technology). 9 indexed citations
16.
Baso, C. J. Díaz, J. de la Cruz Rodríguez, & S. Danilović. (2019). Solar image denoising with convolutional neural networks. Springer Link (Chiba Institute of Technology). 24 indexed citations
17.
Baso, C. J. Díaz, M. J. Martínez González, & A. Asensio Ramos. (2019). Spectropolarimetric analysis of an active region filament. Astronomy and Astrophysics. 625. A128–A128. 17 indexed citations
18.
Ramos, A. Asensio & C. J. Díaz Baso. (2019). Stokes inversion based on convolutional neural networks. Springer Link (Chiba Institute of Technology). 44 indexed citations
19.
Baso, C. J. Díaz, M. J. Martínez González, & A. Asensio Ramos. (2019). Spectropolarimetric analysis of an active region filament.. Astronomy and Astrophysics. 625. A129–A129. 9 indexed citations
20.
Baso, C. J. Díaz & A. Asensio Ramos. (2018). Enhancing SDO/HMI images using deep learning. Springer Link (Chiba Institute of Technology). 45 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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