A. Alarcon

8.6k total citations
14 papers, 194 citations indexed

About

A. Alarcon is a scholar working on Astronomy and Astrophysics, Instrumentation and Electrical and Electronic Engineering. According to data from OpenAlex, A. Alarcon has authored 14 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 2 papers in Electrical and Electronic Engineering. Recurrent topics in A. Alarcon's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (5 papers) and Stellar, planetary, and galactic studies (4 papers). A. Alarcon is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (5 papers) and Stellar, planetary, and galactic studies (4 papers). A. Alarcon collaborates with scholars based in Spain, United States and Netherlands. A. Alarcon's co-authors include T. M. C. Abbott, E. Gaztañaga, G. M. Bernstein, C. Sánchez, Claudio Silva, Martin Eriksen, Waldo Aranda, Rubén Alvarado, J. Chaves-Montero and M. R. Becker and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Cancer Immunology Immunotherapy and Canadian Journal of Physics.

In The Last Decade

A. Alarcon

14 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Alarcon Spain	9	141	59	30	26	23	14	194
Aparna Venkatesan United States	13	461 3.3×	120 2.0×	4 0.1×	3 0.1×	100 4.3×	30	521
M. Orr United States	14	567 4.0×	156 2.6×	4 0.1×	3 0.1×	105 4.6×	31	619
O. W. Butters United Kingdom	11	323 2.3×	60 1.0×	15 0.5×	3 0.1×	25 1.1×	20	410
D. Carter United Kingdom	13	419 3.0×	227 3.8×	3 0.1×	1 0.0×	28 1.2×	25	434
Toby Brown Australia	10	512 3.6×	230 3.9×		5 0.2×	67 2.9×	17	538
Anahita Alavi United States	9	307 2.2×	157 2.7×	2 0.1×		36 1.6×	19	352
Jim Gunn United States	4	127 0.9×	57 1.0×		2 0.1×	10 0.4×	4	154
Tuomo Tikkanen United Kingdom	7	79 0.6×	16 0.3×		6 0.2×	34 1.5×	28	165
Sylvie Brau-Nogué France	5	190 1.3×	88 1.5×	2 0.1×		64 2.8×	7	255

Countries citing papers authored by A. Alarcon

Since Specialization

Citations

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

Fields of papers citing papers by A. Alarcon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Alarcon

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Chen, Michael Y., Felicia Zhang, Darren R. Cullinan, et al.. (2023). Induction of cancer neoantigens facilitates development of clinically relevant models for the study of pancreatic cancer immunobiology. Cancer Immunology Immunotherapy. 72(8). 2813–2827. 1 indexed citations

Ramachandra, Nesar, et al.. (2022). Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z. Monthly Notices of the Royal Astronomical Society. 515(2). 1927–1941. 5 indexed citations

Alarcon, A., Andrew Hearin, M. R. Becker, & J. Chaves-Montero. (2022). Diffstar: a fully parametric physical model for galaxy assembly history. Monthly Notices of the Royal Astronomical Society. 518(1). 562–584. 13 indexed citations

Joachimi, Benjamin, Martin Eriksen, M. Siudek, et al.. (2021). The PAU Survey: narrow-band photometric redshifts using Gaussian processes. Monthly Notices of the Royal Astronomical Society. 503(3). 4118–4135. 9 indexed citations

Abbott, T. M. C., et al.. (2020). Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing. Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad). 43 indexed citations

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

Alarcon, A., C. Sánchez, G. M. Bernstein, & E. Gaztañaga. (2020). Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model – Application to realisticN-body simulations. Monthly Notices of the Royal Astronomical Society. 498(2). 2614–2631. 21 indexed citations

Sánchez, C., Marco Raveri, A. Alarcon, & G. M. Bernstein. (2020). Propagating sample variance uncertainties in redshift calibration: simulations, theory, and application to the COSMOS2015 data. Monthly Notices of the Royal Astronomical Society. 498(2). 2984–2999. 10 indexed citations

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

10.

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

11.

Carretero, J., P. Tallada-Crespí, F. J. Castander, et al.. (2017). CosmoHub and SciPIC: Massive cosmological data analysis, distribution and generation using a Big Data platform. 488–488. 17 indexed citations

12.

Alarcon, A., Martin Eriksen, & E. Gaztañaga. (2017). Cosmological constraints from multiple tracers in spectroscopic surveys. Monthly Notices of the Royal Astronomical Society. 473(2). 1444–1460. 5 indexed citations

13.

Alvarado, Rubén, et al.. (2012). Validación de un cuestionario para evaluar riesgos psicosociales en el ambiente laboral en Chile. Revista médica de Chile. 140(9). 1154–1163. 35 indexed citations

14.

Kamata, K., et al.. (1968). High-energy nuclear interactions of cosmic rays (> 10¹² eV) observed at 5 200 m above sea level. Canadian Journal of Physics. 46(10). S63–S67. 5 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.

Explore authors with similar magnitude of impact