ChangHoon Hahn

5.5k total citations
43 papers, 752 citations indexed

About

ChangHoon Hahn is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, ChangHoon Hahn has authored 43 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Astronomy and Astrophysics, 15 papers in Instrumentation and 8 papers in Artificial Intelligence. Recurrent topics in ChangHoon Hahn's work include Galaxies: Formation, Evolution, Phenomena (36 papers), Astronomy and Astrophysical Research (15 papers) and Stellar, planetary, and galactic studies (11 papers). ChangHoon Hahn is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (36 papers), Astronomy and Astrophysical Research (15 papers) and Stellar, planetary, and galactic studies (11 papers). ChangHoon Hahn collaborates with scholars based in United States, Germany and Canada. ChangHoon Hahn's co-authors include Francisco Villaescusa-Navarro, Jeremy L. Tinker, Elena Massara, Shirley Ho, Azadeh Moradinezhad Dizgah, Andrew Wetzel, Jiamin Hou, Pablo Lemos, Michael Eickenberg and Bruno Régaldo-Saint Blancard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Astrophysical Journal.

In The Last Decade

ChangHoon Hahn

40 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
ChangHoon Hahn United States 18 635 254 105 94 90 43 752
Elena Massara Canada 18 624 1.0× 154 0.6× 239 2.3× 60 0.6× 84 0.9× 27 746
E. Slezak France 21 945 1.5× 403 1.6× 144 1.4× 34 0.4× 58 0.6× 67 1.2k
Boris Leistedt United Kingdom 16 528 0.8× 158 0.6× 126 1.2× 34 0.4× 27 0.3× 38 656
Émille E. O. Ishida France 19 733 1.2× 174 0.7× 190 1.8× 124 1.3× 23 0.3× 68 913
Jens Jasche France 23 1.3k 2.0× 246 1.0× 390 3.7× 184 2.0× 139 1.5× 55 1.4k
François Lanusse France 18 550 0.9× 188 0.7× 80 0.8× 119 1.3× 33 0.4× 38 769
Pablo Lemos United Kingdom 19 724 1.1× 105 0.4× 308 2.9× 77 0.8× 84 0.9× 33 853
Yin Li United States 16 808 1.3× 247 1.0× 221 2.1× 83 0.9× 69 0.8× 35 917
J. E. Forero-Romero Colombia 14 727 1.1× 305 1.2× 159 1.5× 29 0.3× 55 0.6× 34 782
M. P. Hobson United Kingdom 16 706 1.1× 72 0.3× 267 2.5× 89 0.9× 46 0.5× 37 874

Countries citing papers authored by ChangHoon Hahn

Since Specialization
Citations

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

Fields of papers citing papers by ChangHoon Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ChangHoon Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of ChangHoon Hahn. A scholar is included among the top collaborators of ChangHoon Hahn 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 ChangHoon Hahn. ChangHoon Hahn 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.
Rosado, Rodrigo Córdova, Andy D. Goulding, Jenny E. Greene, et al.. (2025). Cross-correlation of Luminous Red Galaxies with ML-selected Active Galactic Nuclei in HSC-SSP. II. AGN Classification and Clustering with DESI Spectroscopy. The Astrophysical Journal. 995(2). 227–227.
2.
Hahn, ChangHoon & P. Melchior. (2025). Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST. The Astrophysical Journal Letters. 982(2). L44–L44.
3.
Modi, Chirag, et al.. (2024). Sensitivity analysis of simulation-based inference for galaxy clustering. Monthly Notices of the Royal Astronomical Society. 536(1). 254–265. 9 indexed citations
4.
Hahn, ChangHoon, et al.. (2024). Exposing disparities in flood adaptation for equitable future interventions in the USA. Nature Communications. 15(1). 8333–8333. 3 indexed citations
5.
Hahn, ChangHoon, Francisco Villaescusa-Navarro, P. Melchior, & Romain Teyssier. (2024). Cosmology with Galaxy Photometry Alone. The Astrophysical Journal Letters. 966(1). L18–L18. 3 indexed citations
6.
Wang, Yuting, Gong‐Bo Zhao, K. Koyama, et al.. (2024). Extracting high-order cosmological information in galaxy surveys with power spectra. Communications Physics. 7(1). 10 indexed citations
7.
Hahn, ChangHoon, et al.. (2024). Investigating the Kinematics of Central and Satellite Galaxies Using Normalizing Flows. The Astrophysical Journal. 976(1). 76–76. 2 indexed citations
8.
Hahn, ChangHoon, Pablo Lemos, Liam Parker, et al.. (2024). Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework. Nature Astronomy. 8(11). 1457–1467. 11 indexed citations
9.
Blancard, Bruno Régaldo-Saint, ChangHoon Hahn, Shirley Ho, et al.. (2024). Galaxy clustering analysis with SimBIG and the wavelet scattering transform. Physical review. D. 109(8). 21 indexed citations
10.
Horowitz, Benjamin, ChangHoon Hahn, François Lanusse, Chirag Modi, & Simone Ferraro. (2024). Differentiable stochastic halo occupation distribution. Monthly Notices of the Royal Astronomical Society. 529(3). 2473–2482. 2 indexed citations
11.
Melchior, P., et al.. (2023). Outlier Detection in the DESI Bright Galaxy Survey. The Astrophysical Journal Letters. 956(1). L6–L6. 4 indexed citations
12.
Hahn, ChangHoon, et al.. (2023). Neural Stellar Population Synthesis Emulator for the DESI PROVABGS. The Astrophysical Journal Supplement Series. 265(1). 23–23. 7 indexed citations
13.
Melchior, P., et al.. (2023). Autoencoding Galaxy Spectra. I. Architecture. The Astronomical Journal. 166(2). 74–74. 13 indexed citations
14.
Lemos, Pablo, Miles Cranmer, ChangHoon Hahn, et al.. (2023). Robust simulation-based inference in cosmology with Bayesian neural networks. Machine Learning Science and Technology. 4(1). 01LT01–01LT01. 21 indexed citations
15.
Massara, Elena, Francisco Villaescusa-Navarro, ChangHoon Hahn, et al.. (2023). Cosmological Information in the Marked Power Spectrum of the Galaxy Field. The Astrophysical Journal. 951(1). 70–70. 26 indexed citations
16.
Hahn, ChangHoon, Rita Tojeiro, M. Siudek, et al.. (2023). The DESI PRObabilistic Value-added Bright Galaxy Survey (PROVABGS) Mock Challenge. The Astrophysical Journal. 945(1). 16–16. 13 indexed citations
17.
Melchior, P., et al.. (2023). PopSED: Population-level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation. The Astronomical Journal. 167(1). 16–16. 11 indexed citations
18.
Hou, Jiamin, Azadeh Moradinezhad Dizgah, ChangHoon Hahn, & Elena Massara. (2023). Cosmological information in skew spectra of biased tracers in redshift space. Journal of Cosmology and Astroparticle Physics. 2023(3). 45–45. 21 indexed citations
19.
Alsing, Justin, Hiranya V. Peiris, Joel Leja, et al.. (2020). SPECULATOR: Emulating Stellar Population Synthesis for Fast and Accurate Galaxy Spectra and Photometry. The Astrophysical Journal Supplement Series. 249(1). 5–5. 43 indexed citations
20.
Hahn, ChangHoon, Jeremy L. Tinker, & Andrew Wetzel. (2017). Star Formation Quenching Timescale of Central Galaxies in a Hierarchical Universe. The Astrophysical Journal. 841(1). 6–6. 30 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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