I. Davidzon

7.4k total citations
18 papers, 455 citations indexed

About

I. Davidzon is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, I. Davidzon has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 14 papers in Instrumentation and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in I. Davidzon's work include Galaxies: Formation, Evolution, Phenomena (16 papers), Astronomy and Astrophysical Research (14 papers) and Stellar, planetary, and galactic studies (5 papers). I. Davidzon is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (16 papers), Astronomy and Astrophysical Research (14 papers) and Stellar, planetary, and galactic studies (5 papers). I. Davidzon collaborates with scholars based in United States, France and Denmark. I. Davidzon's co-authors include O. Ilbert, H. J. McCracken, P. Capak, J. Coupon, S. Arnouts, Sune Toft, John R. Weaver, D. B. Sanders, L. Guzzo and P. Hudelot and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

I. Davidzon

18 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Davidzon United States 12 434 252 44 40 27 18 455
W G Hartley United Kingdom 12 465 1.1× 267 1.1× 58 1.3× 50 1.3× 54 2.0× 16 509
S. Heinis United States 11 587 1.4× 289 1.1× 55 1.3× 60 1.5× 23 0.9× 15 613
S. de la Torre France 10 303 0.7× 160 0.6× 43 1.0× 46 1.1× 17 0.6× 11 314
M. L. P. Gunawardhana United Kingdom 11 507 1.2× 279 1.1× 35 0.8× 62 1.6× 27 1.0× 15 525
William Pearson Poland 10 405 0.9× 197 0.8× 31 0.7× 34 0.8× 55 2.0× 23 445
Nicholas Wherry United States 3 420 1.0× 190 0.8× 31 0.7× 39 1.0× 31 1.1× 3 452
J. L. Fischer United States 7 317 0.7× 199 0.8× 44 1.0× 21 0.5× 63 2.3× 7 366
M. Fernández Lorenzo Spain 13 573 1.3× 316 1.3× 36 0.8× 31 0.8× 20 0.7× 25 589
B. Panter United Kingdom 7 759 1.7× 498 2.0× 56 1.3× 44 1.1× 29 1.1× 10 780
Shoubaneh Hemmati United States 14 648 1.5× 281 1.1× 27 0.6× 95 2.4× 32 1.2× 23 686

Countries citing papers authored by I. Davidzon

Since Specialization
Citations

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

Fields of papers citing papers by I. Davidzon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Davidzon

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

All Works

18 of 18 papers shown
1.
Weaver, John R., L. Zalesky, Vasily Kokorev, et al.. (2023). The Farmer: A Reproducible Profile-fitting Photometry Package for Deep Galaxy Surveys. The Astrophysical Journal Supplement Series. 269(1). 20–20. 11 indexed citations
2.
Steinhardt, Charles L., Albert Sneppen, Adam S. Jermyn, et al.. (2022). Implications of a Temperature-dependent Initial Mass Function. III. Mass Growth and Quiescence. The Astrophysical Journal. 934(1). 22–22. 10 indexed citations
3.
Steinhardt, Charles L., Albert Sneppen, Adam S. Jermyn, et al.. (2022). Implications of a Temperature-dependent Initial Mass Function. II. An Updated View of the Star-forming Main Sequence. The Astrophysical Journal. 931(1). 58–58. 16 indexed citations
4.
Davidzon, I., O. Ilbert, S. de la Torre, et al.. (2022). COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys. Astronomy and Astrophysics. 665. A34–A34. 16 indexed citations
5.
Shuntov, Marko, H. J. McCracken, R. Gavazzi, et al.. (2022). COSMOS2020: Cosmic evolution of the stellar-to-halo mass relation for central and satellite galaxies up to z  ∼  5. Astronomy and Astrophysics. 664. A61–A61. 51 indexed citations
6.
Kauffmann, O. B., O. Ilbert, John R. Weaver, et al.. (2022). COSMOS2020: UV-selected galaxies atz  ≥  7.5. Astronomy and Astrophysics. 667. A65–A65. 11 indexed citations
7.
Kokorev, Vasily, G. Magdis, I. Davidzon, et al.. (2021). The Evolving Interstellar Medium of Star-forming Galaxies, as Traced by Stardust*. HAL (Le Centre pour la Communication Scientifique Directe). 28 indexed citations
8.
Leslie, S. K., Eva Schinnerer, Daizhong Liu, et al.. (2020). Sussex Research Online (University of Sussex). 11 indexed citations
9.
Hatfield, Peter, C. Laigle, M. J. Jarvis, et al.. (2019). Comparing galaxy clustering in Horizon-AGN simulated light-cone mocks and VIDEO observations. Monthly Notices of the Royal Astronomical Society. 490(4). 5043–5056. 5 indexed citations
10.
Laigle, C., I. Davidzon, O. Ilbert, et al.. (2019). Horizon-AGN virtual observatory – 1. SED-fitting performance and forecasts for future imaging surveys. Monthly Notices of the Royal Astronomical Society. 486(4). 5104–5123. 38 indexed citations
11.
Capak, P., D. Scolnic, & I. Davidzon. (2019). Synergizing Deep Field Programs Across Multiple Surveys. Bulletin of the American Astronomical Society. 51(3). 470. 1 indexed citations
12.
Davidzon, I., C. Laigle, P. Capak, et al.. (2019). horizon-AGN virtual observatory – 2. Template-free estimates of galaxy properties from colours. Monthly Notices of the Royal Astronomical Society. 489(4). 4817–4835. 19 indexed citations
13.
Legrand, L., H. J. McCracken, I. Davidzon, et al.. (2019). The COSMOS-UltraVISTA stellar-to-halo mass relationship: new insights on galaxy formation efficiency out to z ∼ 5. Monthly Notices of the Royal Astronomical Society. 486(4). 5468–5481. 28 indexed citations
14.
Masters, Daniel, Daniel Stern, Judith G. Cohen, et al.. (2019). The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Analysis and Data Release 2. The Astrophysical Journal. 877(2). 81–81. 54 indexed citations
15.
Wu, Hao‐Yi, G. Lagache, I. Davidzon, et al.. (2017). The impact of clustering and angular resolution on far-infrared and millimeter continuum observations. Springer Link (Chiba Institute of Technology). 31 indexed citations
16.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey I. UV and near-IR observations, multi-colour catalogues, and photometric redshifts. CaltechAUTHORS (California Institute of Technology). 24 indexed citations
17.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey. Astronomy and Astrophysics. 590. A103–A103. 54 indexed citations
18.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey. Astronomy and Astrophysics. 590. A102–A102. 47 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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