Sinan Deger

1.9k total citations
9 papers, 47 citations indexed

About

Sinan Deger is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sinan Deger has authored 9 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sinan Deger's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Astronomy and Astrophysical Research (5 papers) and Stellar, planetary, and galactic studies (4 papers). Sinan Deger is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Astronomy and Astrophysical Research (5 papers) and Stellar, planetary, and galactic studies (4 papers). Sinan Deger collaborates with scholars based in United States, United Kingdom and Sweden. Sinan Deger's co-authors include Joel Leja, Hiranya V. Peiris, Stephen Thorp, Justin Alsing, Jessica Krick, Boris Leistedt, D. Mortlock, Jonathan Fraine, James G. Ingalls and David A. Thilker 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

Sinan Deger

8 papers receiving 40 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sinan Deger United States	5	36	18	3	2	2	9	47
J. Korth Germany	5	39 1.1×	12 0.7×	2 0.7×		2 1.0×	8	42
A. Popping Australia	5	48 1.3×	21 1.2×	2 0.7×		2 1.0×	5	52
M. Pinamonti Italy	5	28 0.8×	15 0.8×			2 1.0×	9	33
Martin Paegert United States	4	48 1.3×	21 1.2×	4 1.3×		1 0.5×	8	54
Jordan C. J. D’Silva Australia	5	49 1.4×	33 1.8×	2 0.7×		2 1.0×	8	53
Marko Sestovic Switzerland	3	43 1.2×	17 0.9×			2 1.0×	3	45
Rosanna H Tilbrook United Kingdom	2	32 0.9×	10 0.6×			2 1.0×	4	34
F. Shabani Sweden	2	79 2.2×	26 1.4×	2 0.7×			2	81
Arianna S. Long United States	7	53 1.5×	23 1.3×	3 1.0×		2 1.0×	9	68
C. Bonnaud France	1	54 1.5×	18 1.0×	2 0.7×		2 1.0×	2	61

Countries citing papers authored by Sinan Deger

Since Specialization

Citations

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

Fields of papers citing papers by Sinan Deger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinan Deger

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

All Works

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9 of 9 papers shown

Thorp, Stephen, Hiranya V. Peiris, Sinan Deger, et al.. (2025). pop-cosmos : Insights from Generative Modeling of a Deep, Infrared-selected Galaxy Population. The Astrophysical Journal. 993(2). 240–240. 2 indexed citations

Petri, Fabio, Boris Leistedt, D. Mortlock, et al.. (2025). Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference. Monthly Notices of the Royal Astronomical Society. 545(3).

Alsing, Justin, Stephen Thorp, Sinan Deger, et al.. (2024). pop-cosmos: A Comprehensive Picture of the Galaxy Population from COSMOS Data. The Astrophysical Journal Supplement Series. 274(1). 12–12. 8 indexed citations

Thorp, Stephen, Justin Alsing, Hiranya V. Peiris, et al.. (2024). pop-cosmos: Scaleable Inference of Galaxy Properties and Redshifts with a Data-driven Population Model. The Astrophysical Journal. 975(1). 145–145. 5 indexed citations

Thorp, Stephen, Hiranya V. Peiris, D. Mortlock, et al.. (2024). Data-space Validation of High-dimensional Models by Comparing Sample Quantiles. The Astrophysical Journal Supplement Series. 276(1). 5–5. 1 indexed citations

Hannon, Stephen, Bradley C. Whitmore, Janice Lee, et al.. (2023). Star cluster classification using deep transfer learning with PHANGS-HST. Monthly Notices of the Royal Astronomical Society. 526(2). 2991–3006. 4 indexed citations

Deger, Sinan, Janice Lee, Bradley C. Whitmore, et al.. (2021). Bright, relatively isolated star clusters in PHANGS–HST galaxies: Aperture corrections, quantitative morphologies, and comparison with synthetic stellar population models. Monthly Notices of the Royal Astronomical Society. 510(1). 32–53. 9 indexed citations

Krick, Jessica, Jonathan Fraine, James G. Ingalls, & Sinan Deger. (2020). Random Forests applied to High Precision Photometry Analysis with Spitzer IRAC. arXiv (Cornell University). 7 indexed citations

Deger, Sinan, Gregory Rudnick, Alfonso Aragón‐Salamanca, et al.. (2018). Tidal Interactions and Mergers in Intermediate-redshift EDisCS Clusters. The Astrophysical Journal. 869(1). 6–6. 11 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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