C. Padilla Aranda

123.7k total citations
28 papers, 131 citations indexed

About

C. Padilla Aranda is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, C. Padilla Aranda has authored 28 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 9 papers in Electrical and Electronic Engineering and 9 papers in Nuclear and High Energy Physics. Recurrent topics in C. Padilla Aranda's work include Particle Detector Development and Performance (8 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and CCD and CMOS Imaging Sensors (6 papers). C. Padilla Aranda is often cited by papers focused on Particle Detector Development and Performance (8 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and CCD and CMOS Imaging Sensors (6 papers). C. Padilla Aranda collaborates with scholars based in Spain, Switzerland and United States. C. Padilla Aranda's co-authors include E. Gaztañaga, E. Fernández, Martin Eriksen, J. García-Bellido, E. Sánchez, J. Carretero, M. Hohlmann, M. Titov, F. J. Castander and J. R. Wendt and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Chemical Research in Toxicology.

In The Last Decade

C. Padilla Aranda

24 papers receiving 124 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. Padilla Aranda Spain 7 57 48 29 27 26 28 131
Kunio Takeshi Japan 5 45 0.8× 21 0.4× 35 1.2× 42 1.6× 35 1.3× 6 123
P. Antilogus France 8 108 1.9× 80 1.7× 39 1.3× 41 1.5× 51 2.0× 24 219
D. Gardiol Italy 7 90 1.6× 19 0.4× 15 0.5× 14 0.5× 31 1.2× 44 141
L. Duvet Netherlands 8 189 3.3× 132 2.8× 36 1.2× 46 1.7× 39 1.5× 50 323
Gabriele Rodeghiero Italy 8 89 1.6× 22 0.5× 15 0.5× 87 3.2× 34 1.3× 39 166
H. Cease United States 6 37 0.6× 56 1.2× 23 0.8× 80 3.0× 50 1.9× 24 144
B. Hilbert United States 6 136 2.4× 74 1.5× 86 3.0× 28 1.0× 47 1.8× 53 207
Mark Egan United States 7 68 1.2× 37 0.8× 13 0.4× 24 0.9× 38 1.5× 20 119
A. A. Plazas United States 9 142 2.5× 48 1.0× 53 1.8× 18 0.7× 47 1.8× 18 180
H. Suzuki Japan 8 79 1.4× 63 1.3× 28 1.0× 36 1.3× 26 1.0× 19 157

Countries citing papers authored by C. Padilla Aranda

Since Specialization
Citations

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

Fields of papers citing papers by C. Padilla Aranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Padilla Aranda. 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. Padilla Aranda. The network helps show where C. Padilla Aranda may publish in the future.

Co-authorship network of co-authors of C. Padilla Aranda

This figure shows the co-authorship network connecting the top 25 collaborators of C. Padilla Aranda. A scholar is included among the top collaborators of C. Padilla Aranda 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. Padilla Aranda. C. Padilla Aranda 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.
Aranda, C. Padilla, María José Sosa Díaz, Andrés H. Thomas, et al.. (2025). Blue light-promoted photodegradation of decyl-riboflavin in methanolic solutions. Journal of Photochemistry and Photobiology A Chemistry. 463. 116277–116277.
2.
Baugh, C. M., E. Gaztañaga, F. J. Castander, et al.. (2025). ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU survey. Journal of Cosmology and Astroparticle Physics. 2025(1). 97–97.
3.
Aranda, C. Padilla, Mariana Vignoni, Mariana P. Serrano, & M. Laura Dántola. (2025). Phototoxic Effects on Skin Biomolecules Induced by a Domestic Nail Polish Dryer Device. Chemical Research in Toxicology. 38(1). 182–192. 1 indexed citations
4.
Csizi, B., Luca Tortorelli, M. Siudek, et al.. (2024). The PAU Survey: Galaxy stellar population properties estimates with narrowband data. Astronomy and Astrophysics. 689. A37–A37. 2 indexed citations
5.
Haro, Pablo Arrabal, C. Muñoz–Tuñón, J. M. Rodríguez-Espinosa, et al.. (2023). The PAU survey: classifying low-z SEDs using Machine Learning clustering. Monthly Notices of the Royal Astronomical Society. 524(3). 3569–3581. 1 indexed citations
6.
Jiménez, Jorge, C. Padilla Aranda, & Antoni Grau. (2023). A Novel MCT Focal Plane Array Thermally Stressed at Low Temperatures. IEEE Transactions on Instrumentation and Measurement. 72. 1–7. 1 indexed citations
7.
Eriksen, Martin, A. Alarcon, J. Carretero, et al.. (2020). The PAU Survey: Photometric redshifts using transfer learning from simulations. Monthly Notices of the Royal Astronomical Society. 497(4). 4565–4579. 15 indexed citations
8.
Jiménez, Jorge, C. Padilla Aranda, & Antoni Grau. (2020). Cryo-vacuum system for low temperature thermal cycling of MCT detectors. 208–208. 1 indexed citations
9.
Gaztañaga, E., Rupert A. C. Croft, J. Carretero, et al.. (2020). The PAU survey: Ly α intensity mapping forecast. Monthly Notices of the Royal Astronomical Society. 501(3). 3883–3899. 11 indexed citations
10.
Cabayol-Garcia, L., Martin Eriksen, A. Alarcon, et al.. (2019). The PAU Survey: background light estimation with deep learning techniques. Monthly Notices of the Royal Astronomical Society. 491(4). 5392–5405. 3 indexed citations
11.
Norberg, P., C. M. Baugh, A. Alarcon, et al.. (2018). The PAU Survey: spectral features and galaxy clustering using simulated narrow-band photometry. Monthly Notices of the Royal Astronomical Society. 481(3). 4221–4235. 12 indexed citations
12.
Aranda, C. Padilla, et al.. (2016). The PAU camera carbon fiber cryostat and filter interchange system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9908. 99084G–99084G. 1 indexed citations
13.
Casas, R., L. Cardiel-Sas, F. J. Castander, et al.. (2016). Characterization and performance of PAUCam filters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9908. 99084K–99084K. 3 indexed citations
14.
Backhaus, M., et al.. (2016). Test beam results of a depleted monolithic active pixel sensor using an HV-SOI process for the LH-LHC upgrade. Journal of Instrumentation. 11(2). C02083–C02083. 1 indexed citations
15.
Olsson, Roy H., Khalid Hattar, Michael S. Baker, et al.. (2014). LAMB WAVE MICROMECHANICAL RESONATORS FORMED IN THIN PLATES OF LITHIUM NIOBATE. 281–284. 23 indexed citations
16.
Aranda, C. Padilla, P. Fritschel, F. Magaña‐Sandoval, et al.. (2014). Low scatter and ultra-low reflectivity measured in a fused silica window. Applied Optics. 53(7). 1315–1315. 5 indexed citations
17.
Aranda, C. Padilla. (2010). The ATLAS Trigger System. IEEE Transactions on Nuclear Science. 57(2). 650–657. 2 indexed citations
18.
Aranda, C. Padilla. (2009). The ATLAS trigger system. 326–333. 1 indexed citations
19.
Aranda, C. Padilla. (2000). HERA-B: status and commissioning results. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 446(1-2). 176–189. 1 indexed citations
20.

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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