E. Sánchez

48.9k total citations
43 papers, 413 citations indexed

About

E. Sánchez is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, E. Sánchez has authored 43 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in E. Sánchez's work include Galaxies: Formation, Evolution, Phenomena (21 papers), Astronomy and Astrophysical Research (9 papers) and Cosmology and Gravitation Theories (8 papers). E. Sánchez is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (21 papers), Astronomy and Astrophysical Research (9 papers) and Cosmology and Gravitation Theories (8 papers). E. Sánchez collaborates with scholars based in Spain, United Kingdom and United States. E. Sánchez's co-authors include J. García-Bellido, E. Gaztañaga, David Alonso, R. Miquel, I. Sevilla-Noarbe, Javier Sánchez, J. De Vicente, Maciej Bilicki, P. Fosalba and A. Carnero Rosell and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

E. Sánchez

37 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Sánchez Spain 12 306 120 76 31 28 43 413
V. Turchaninov Russia 9 191 0.6× 48 0.4× 48 0.6× 33 1.1× 28 1.0× 29 308
U. J. Schwarz Germany 11 499 1.6× 121 1.0× 42 0.6× 36 1.2× 22 0.8× 47 644
Vladimir Kouprianov United States 11 476 1.6× 106 0.9× 37 0.5× 25 0.8× 13 0.5× 43 563
C. G. Page United Kingdom 13 523 1.7× 182 1.5× 52 0.7× 34 1.1× 52 1.9× 31 611
Dmitry A. Duev United States 14 473 1.5× 78 0.7× 73 1.0× 25 0.8× 16 0.6× 45 560
Niels Oppermann Germany 14 591 1.9× 274 2.3× 29 0.4× 24 0.8× 28 1.0× 26 730
G. H. Stokes United States 9 377 1.2× 59 0.5× 16 0.2× 32 1.0× 36 1.3× 28 455
P. B. Graff United States 10 490 1.6× 197 1.6× 16 0.2× 27 0.9× 44 1.6× 19 590
Yueying Ni United States 17 662 2.2× 203 1.7× 179 2.4× 19 0.6× 5 0.2× 58 740
P. Dubath Switzerland 14 578 1.9× 127 1.1× 146 1.9× 18 0.6× 48 1.7× 38 639

Countries citing papers authored by E. Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by E. Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of E. Sánchez. A scholar is included among the top collaborators of E. Sánchez 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 E. Sánchez. E. Sánchez 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.
Montoya, Ana, et al.. (2025). Unveiling prognostic indicators in canine leishmaniosis: two decades of evidence. Parasites & Vectors. 18(1). 467–467.
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.
4.
Spinoso, Daniele, P. Arnalte-Mur, A. Fernández-Soto, et al.. (2024). The PAU Survey: The quasar Lyα and UV luminosity functions at 2.7 < z < 5.3. Astronomy and Astrophysics. 690. A388–A388. 3 indexed citations
5.
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
6.
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
7.
Àvila, S., J. García-Bellido, A. Porredon, et al.. (2023). Primordial non-Gaussianity with angular correlation function: integral constraint and validation for DES. Monthly Notices of the Royal Astronomical Society. 523(1). 603–619. 3 indexed citations
8.
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
9.
Sánchez, E. & Junho Oh. (2020). The unexpected and stickiness behavior of institutional investors in index funds. Managerial Finance. 47(1). 4–35. 2 indexed citations
10.
Dewji, Shaheen, et al.. (2018). Comparison of neutron organ and effective dose coefficients for PIMAL stylized phantom in bent postures in standard irradiation geometries. Radiation and Environmental Biophysics. 57(4). 375–393. 5 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.
Vajente, G., A. Ananyeva, G. Billingsley, et al.. (2017). A high throughput instrument to measure mechanical losses in thin film coatings. Review of Scientific Instruments. 88(7). 73901–73901. 27 indexed citations
13.
Sánchez, E.. (2016). The Dark Energy Survey: Status and First results. Nuclear and Particle Physics Proceedings. 273-275. 302–308.
14.
Cárdenas‐Montes, Miguel, et al.. (2014). Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study. Computer Physics Communications. 185(10). 2558–2565. 5 indexed citations
15.
Cárdenas‐Montes, Miguel, et al.. (2014). POSTER: High-performance implementations for shear-shear correlation calculation. 8109. 290–291. 1 indexed citations
16.
Gaztañaga, E., R. Miquel, & E. Sánchez. (2009). First Cosmological Constraints on Dark Energy from the Radial Baryon Acoustic Scale. Physical Review Letters. 103(9). 91302–91302. 38 indexed citations
17.
Barczyk, A., J. Kirkby, L. Malgeri, et al.. (2008). Measurement of the Fermi constant by FAST. Physics Letters B. 663(3). 172–180. 24 indexed citations
18.
Villamil, Tomas, et al.. (2004). THEGIBRALTARDISCOVERY, NORTHERN LLANOS FOOTHILLS, COLOMBIA: CASE HISTORY OF AN EXPLORATION SUCCESS IN A FRONTIER AREA. Journal of Petroleum Geology. 27(4). 321–333. 9 indexed citations
19.
Mele, S. & E. Sánchez. (2000). Study of extra space dimensions in vector boson pair production at LEP. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 61(11). 3 indexed citations
20.
Sánchez, E.. (1994). THREE-DIMENSIONAL ANALYSIS OF SIGHT DISTANCE ON INTERCHANGE CONNECTORS. Transportation Research Record Journal of the Transportation Research Board. 8 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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