J. M. Diego

118.3k total citations
101 papers, 1.9k citations indexed

About

J. M. Diego is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, J. M. Diego has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Astronomy and Astrophysics, 36 papers in Instrumentation and 20 papers in Nuclear and High Energy Physics. Recurrent topics in J. M. Diego's work include Galaxies: Formation, Evolution, Phenomena (72 papers), Astronomy and Astrophysical Research (36 papers) and Cosmology and Gravitation Theories (24 papers). J. M. Diego is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (72 papers), Astronomy and Astrophysical Research (36 papers) and Cosmology and Gravitation Theories (24 papers). J. M. Diego collaborates with scholars based in Spain, United States and United Kingdom. J. M. Diego's co-authors include Tom Broadhurst, Joseph Silk, Patrick L. Kelly, E. Martínez-González, Masamune Oguri, George F. Smoot, Jeremy Lim, Adi Zitrin, Nick Kaiser and P. Vielva and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

J. M. Diego

92 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. Diego Spain 26 1.7k 505 425 205 56 101 1.9k
Frederick B. Davies Germany 24 2.0k 1.2× 542 1.1× 639 1.5× 95 0.5× 46 0.8× 84 2.3k
A. Rest United States 30 3.0k 1.7× 575 1.1× 920 2.2× 108 0.5× 48 0.9× 120 3.3k
A. Asensio Ramos Spain 27 2.4k 1.4× 287 0.6× 211 0.5× 199 1.0× 42 0.8× 138 2.7k
Kimihiko Nakajima Japan 27 2.3k 1.3× 956 1.9× 388 0.9× 115 0.6× 34 0.6× 85 2.6k
Michael P. Hobson United Kingdom 10 1.0k 0.6× 166 0.3× 407 1.0× 83 0.4× 60 1.1× 14 1.4k
V. D’Odorico Italy 26 2.3k 1.3× 622 1.2× 786 1.8× 87 0.4× 69 1.2× 102 2.5k
Anna–Christina Eilers United States 26 1.4k 0.8× 467 0.9× 291 0.7× 56 0.3× 40 0.7× 69 1.5k
G. Bertin Italy 27 2.0k 1.2× 595 1.2× 390 0.9× 103 0.5× 215 3.8× 111 2.2k
C. Ledoux Chile 45 4.7k 2.7× 826 1.6× 724 1.7× 218 1.1× 86 1.5× 165 4.9k
Norbert Werner United States 39 3.7k 2.1× 558 1.1× 1.0k 2.5× 110 0.5× 56 1.0× 131 3.8k

Countries citing papers authored by J. M. Diego

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Diego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Diego. 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 J. M. Diego. The network helps show where J. M. Diego may publish in the future.

Co-authorship network of co-authors of J. M. Diego

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Diego. A scholar is included among the top collaborators of J. M. Diego 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 J. M. Diego. J. M. Diego 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.
Diego, J. M., Fengwu Sun, Xiaojing Lin, et al.. (2025). JWST lens model for A370: A very low dark matter fraction for a brightest cluster galaxy and lensing properties for the Dragon arc. Astronomy and Astrophysics. 703. A207–A207.
2.
Limousin, Marceau, Anna Niemiec, J. M. Diego, et al.. (2024). Mass and light in galaxy clusters: The case of Abell 370. Astronomy and Astrophysics. 693. A33–A33.
3.
Diego, J. M., Tom Broadhurst, Jeremy Lim, et al.. (2024). A high-resolution view of the source-plane magnification near cluster caustics in wave dark matter models. Astronomy and Astrophysics. 690. A359–A359. 2 indexed citations
4.
Diego, J. M., et al.. (2024). Statistics of magnification for extremely lensed high redshift stars. Astronomy and Astrophysics. 687. A81–A81. 6 indexed citations
5.
Langeroodi, Danial, J. Hjorth, Wenlei Chen, et al.. (2023). Evolution of the Mass–Metallicity Relation from Redshift z ≈ 8 to the Local Universe. The Astrophysical Journal. 957(1). 39–39. 31 indexed citations
6.
Niemiec, Anna, Mathilde Jauzac, D. Eckert, et al.. (2023). Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong+weak-lensing view of Abell 370. Monthly Notices of the Royal Astronomical Society. 524(2). 2883–2910. 7 indexed citations
7.
Diego, J. M., Brenda Frye, Tom Broadhurst, et al.. (2023). Exploring the correlation between dark matter, intracluster light, and globular cluster distribution in SMACS0723. Astronomy and Astrophysics. 679. A159–A159. 16 indexed citations
8.
Broadhurst, Tom, Jeremy Lim, Masamune Oguri, et al.. (2023). Einstein rings modulated by wavelike dark matter from anomalies in gravitationally lensed images. Nature Astronomy. 7(6). 736–747. 42 indexed citations
9.
Scarlata, Claudia, Wenlei Chen, Patrick L. Kelly, et al.. (2023). An empirical reionization history model inferred from the low-redshift Lyman continuum survey and the star-forming galaxies at z > 8. Monthly Notices of the Royal Astronomical Society. 527(2). 4173–4182. 12 indexed citations
10.
Welch, Brian, Dan Coe, Adi Zitrin, et al.. (2023). RELICS: Small-scale Star Formation in Lensed Galaxies at z = 6–10. The Astrophysical Journal. 943(1). 2–2. 9 indexed citations
11.
Pascale, Massimo, Brenda Frye, J. M. Diego, et al.. (2022). Unscrambling the Lensed Galaxies in JWST Images behind SMACS 0723. The Astrophysical Journal Letters. 938(1). L6–L6. 26 indexed citations
12.
Douspis, M., N. Aghanim, Devin Crichton, et al.. (2021). PACT. Astronomy and Astrophysics. 651. A73–A73. 11 indexed citations
13.
Chen, Mandy C., Tom Broadhurst, Jeremy Lim, Sandor M. Molnar, & J. M. Diego. (2020). Geometric Support for Dark Matter by an Unaligned Einstein Ring in A3827. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 2 indexed citations
14.
Chen, Wenlei, Patrick L. Kelly, Thomas J. Broadhurst, J. M. Diego, & Adi Zitrin. (2019). Transient Detection for the 21st Century: Finding Faint Lensed Transients in Archival Hubble Galaxy-Cluster Imaging. 15791. 1 indexed citations
15.
Diego, J. M., et al.. (2019). Proyecto arquitectónico de máxima eficiencia energética. Universidad Nacional Autónoma de México eBooks.
16.
Diego, J. M.. (2019). The Universe at extreme magnification. Springer Link (Chiba Institute of Technology). 37 indexed citations
17.
Zheng, Wei, Adi Zitrin, L. Infante, et al.. (2017). Young Galaxy Candidates in the Hubble Frontier Fields. IV. MACS J1149.5+2223. The Astrophysical Journal. 836(2). 210–210. 17 indexed citations
18.
Infante, L., Wei Zheng, Nicolas Laporte, et al.. (2015). YOUNG GALAXY CANDIDATES IN THEHUBBLEFRONTIER FIELDS. II. MACS J0416–2403. The Astrophysical Journal. 815(1). 18–18. 17 indexed citations
19.
Mathis, H., Guilhem Lavaux, J. M. Diego, & Joseph Silk. (2005). On the formation of cold fronts in massive mergers. Monthly Notices of the Royal Astronomical Society. 357(3). 801–818. 19 indexed citations
20.
Martínez-González, E., R. B. Barreiro, J. M. Diego, et al.. (2000). Tests of Gaussianity of CMB Maps. CERN Bulletin. 37. 335. 2 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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