D. Crespo

1.3k total citations
12 papers, 54 citations indexed

About

D. Crespo is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, D. Crespo has authored 12 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 4 papers in Nuclear and High Energy Physics and 2 papers in Instrumentation. Recurrent topics in D. Crespo's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Cosmology and Gravitation Theories (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). D. Crespo is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Cosmology and Gravitation Theories (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). D. Crespo collaborates with scholars based in Spain, Italy and Switzerland. D. Crespo's co-authors include L. Bonavera, J. González-Nuevo, Andrea Lapi, M. Migliaccio, M.L. Sánchez, Joana Santos, C. Baccigalupi, Fernando Sánchez Lasheras, D. Herranz and Sergio Luis Suárez Gómez and has published in prestigious journals such as Astronomy and Astrophysics, Journal of Cosmology and Astroparticle Physics and UCrea (University of Cantabria).

In The Last Decade

D. Crespo

10 papers receiving 48 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Crespo Spain	5	43	15	11	10	4	12	54
O. Friedrich Germany	2	52 1.2×	20 1.3×	5 0.5×	9 0.9×	2 0.5×	2	56
Lukas Wenzl United States	4	44 1.0×	17 1.1×	5 0.5×	13 1.3×	3 0.8×	4	51
T N Varga Germany	3	66 1.5×	32 2.1×	8 0.7×	7 0.7×	3 0.8×	7	73
Kevin Pardede Italy	4	45 1.0×	9 0.6×	5 0.5×	15 1.5×		5	53
Jason Poh United States	5	47 1.1×	21 1.4×	6 0.5×	10 1.0×	1 0.3×	6	58
Ning Gai China	6	61 1.4×	28 1.9×	4 0.4×	7 0.7×	2 0.5×	17	68
Chao‐Lin Kuo United States	6	60 1.4×	7 0.5×	6 0.5×	13 1.3×	3 0.8×	9	71
S. L. Bridle United Kingdom	4	58 1.3×	18 1.2×	8 0.7×	13 1.3×	1 0.3×	4	59
Angus Gallie United Kingdom	2	54 1.3×	26 1.7×	6 0.5×	5 0.5×	3 0.8×	4	60
Parker Fagrelius United States	3	44 1.0×	25 1.7×	10 0.9×	10 1.0×	1 0.3×	7	53

Countries citing papers authored by D. Crespo

Since Specialization

Citations

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

Fields of papers citing papers by D. Crespo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Crespo

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

All Works

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12 of 12 papers shown

Bonavera, L., et al.. (2025). Recovering CMB polarization maps with neural networks: performance in realistic simulations. Journal of Cosmology and Astroparticle Physics. 2025(10). 63–63.

González-Nuevo, J., et al.. (2024). Methodological refinement of the submillimeter galaxy magnification bias. Astronomy and Astrophysics. 686. A190–A190. 1 indexed citations

Crespo, D., et al.. (2024). Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias. Astronomy and Astrophysics. 684. A109–A109. 1 indexed citations

González-Nuevo, J., et al.. (2024). Toward the measurement of neutrino masses: Performance of cosmic magnification with submillimeter galaxies. Astronomy and Astrophysics. 687. A300–A300. 1 indexed citations

Bonavera, L., et al.. (2023). Methodological refinement of the submillimeter galaxy magnification bias. Astronomy and Astrophysics. 686. A191–A191. 3 indexed citations

Bonavera, L., et al.. (2023). Constraining the polarisation flux density and angle of point sources by training a convolutional neural network. Astronomy and Astrophysics. 670. A76–A76. 1 indexed citations

González-Nuevo, J., L. Bonavera, D. Herranz, et al.. (2022). Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations. UCrea (University of Cantabria). 4 indexed citations

Crespo, D., et al.. (2022). Quasi-stellar objects and galaxy mass density profiles derived using the submillimetre galaxies magnification bias. Astronomy and Astrophysics. 667. A146–A146. 6 indexed citations

Bonavera, L., J. González-Nuevo, C. Baccigalupi, et al.. (2022). CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations. Astronomy and Astrophysics. 666. A89–A89. 11 indexed citations

10.

Bonavera, L., et al.. (2022). Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias. Astronomy and Astrophysics. 662. A44–A44. 7 indexed citations

11.

González-Nuevo, J., et al.. (2021). Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias. Astronomy and Astrophysics. 658. A19–A19. 3 indexed citations

12.

Bonavera, L., et al.. (2021). Cosmology with the submillimetre galaxies magnification bias. Astronomy and Astrophysics. 656. A99–A99. 16 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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