Andy D. Goulding

6.0k total citations · 1 hit paper
68 papers, 1.7k citations indexed

About

Andy D. Goulding is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Andy D. Goulding has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Astronomy and Astrophysics, 22 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Andy D. Goulding's work include Galaxies: Formation, Evolution, Phenomena (64 papers), Astrophysical Phenomena and Observations (31 papers) and Gamma-ray bursts and supernovae (23 papers). Andy D. Goulding is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (64 papers), Astrophysical Phenomena and Observations (31 papers) and Gamma-ray bursts and supernovae (23 papers). Andy D. Goulding collaborates with scholars based in United States, Japan and Germany. Andy D. Goulding's co-authors include D. M. Alexander, Jenny E. Greene, Ákos Bogdán, T. P. Roberts, Bret Lehmer, F. E. Bauer, L. P. Jenkins, A. Ptak, W. N. Brandt and Priyamvada Natarajan and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Andy D. Goulding

64 papers receiving 1.5k citations

Hit Papers

Evidence for heavy-seed origin of early supermassive blac... 2023 2026 2024 2025 2023 40 80 120

Peers

Andy D. Goulding
Eilat Glikman United States
F. Marleau United States
David A. Thilker United States
Roberto J. Assef United States
F. Civano United States
Laura Blecha United States
J. D. Silverman United States
Fuyan Bian United States
Eilat Glikman United States
Andy D. Goulding
Citations per year, relative to Andy D. Goulding Andy D. Goulding (= 1×) peers Eilat Glikman

Countries citing papers authored by Andy D. Goulding

Since Specialization
Citations

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

Fields of papers citing papers by Andy D. Goulding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy D. Goulding

This figure shows the co-authorship network connecting the top 25 collaborators of Andy D. Goulding. A scholar is included among the top collaborators of Andy D. Goulding 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 Andy D. Goulding. Andy D. Goulding 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.
Casey-Clyde, J. Andrew, Chiara M. F. Mingarelli, Jenny E. Greene, et al.. (2025). Quasars Can Signpost Supermassive Black Hole Binaries. The Astrophysical Journal. 987(2). 106–106. 1 indexed citations
3.
Suess, Katherine A., Mariska Kriek, David J. Setton, et al.. (2025). SQuIGG L E: Observational Evidence of Low Ongoing Star Formation Rates in Gas-rich Post-starburst Galaxies. The Astrophysical Journal. 981(1). 60–60. 1 indexed citations
4.
Spilker, Justin, Katherine E. Whitaker, Desika Narayanan, et al.. (2025). Unusually High Gas-to-dust Ratios Observed in High-redshift Quiescent Galaxies. The Astrophysical Journal Letters. 993(2). L40–L40.
5.
Margalef-Bentabol, Berta, Liming Wang, Antonio La Marca, et al.. (2024). Galaxy merger challenge: A comparison study between machine learning-based detection methods. Springer Link (Chiba Institute of Technology). 3 indexed citations
6.
Goulding, Andy D., et al.. (2024). Evidence for Intrinsic X-Ray Weakness among Red Quasars at Cosmic Noon. The Astrophysical Journal. 974(2). 225–225. 2 indexed citations
7.
Sajina, Anna, et al.. (2024). Estimating Galaxy Parameters with Self-organizing Maps and the Effect of Missing Data. The Astronomical Journal. 167(6). 261–261. 5 indexed citations
8.
Melchior, P., et al.. (2023). Outlier Detection in the DESI Bright Galaxy Survey. The Astrophysical Journal Letters. 956(1). L6–L6. 4 indexed citations
9.
Danieli, Shany, Jenny E. Greene, Scott G. Carlsten, et al.. (2023). ELVES. IV. The Satellite Stellar-to-halo Mass Relation Beyond the Milky Way. The Astrophysical Journal. 956(1). 6–6. 25 indexed citations
10.
Tang, Shenli, J. D. Silverman, Hassen M. Yesuf, et al.. (2023). Morphological asymmetries of quasar host galaxies with Subaru Hyper Suprime-Cam. Monthly Notices of the Royal Astronomical Society. 521(4). 5272–5297. 10 indexed citations
11.
Bogdán, Ákos, Andy D. Goulding, Priyamvada Natarajan, et al.. (2023). Evidence for heavy-seed origin of early supermassive black holes from a z ≈ 10 X-ray quasar. Nature Astronomy. 8(1). 126–133. 139 indexed citations breakdown →
12.
Greene, Jenny E., Johnny P. Greco, Song Huang, et al.. (2023). Beyond Ultra-diffuse Galaxies. I. Mass–Size Outliers among the Satellites of Milky Way Analogs. The Astrophysical Journal. 955(1). 1–1. 11 indexed citations
13.
Greene, Jenny E., Johnny P. Greco, Rachael L. Beaton, et al.. (2023). Beyond Ultra-diffuse Galaxies. II. Environmental Quenching of Mass–Size Outliers among the Satellites of Milky Way Analogs. The Astrophysical Journal. 955(1). 2–2. 4 indexed citations
14.
Setton, David J., Rachel Bezanson, Jenny E. Greene, et al.. (2023). Merger Signatures are Common, but not Universal, in Massive, Recently Quenched Galaxies at z ∼ 0.7. The Astrophysical Journal. 949(1). 5–5. 8 indexed citations
15.
Chen, Yu-Ching, Adi Foord, Xin Liu, et al.. (2023). Varstrometry for Off-nucleus and Dual Subkiloparsec Active Galactic Nuclei (VODKA): Investigating the Nature of SDSS J0823+2418 at z = 1.81, A Likely Lensed Quasar. The Astrophysical Journal. 956(2). 117–117. 8 indexed citations
16.
Quataert, Eliot, et al.. (2023). Observational signatures of carbon–oxygen white dwarf merger remnants. Monthly Notices of the Royal Astronomical Society. 524(1). 1031–1043. 5 indexed citations
17.
Bezanson, Rachel, Andrew R. Zentner, Jeffrey A. Newman, et al.. (2022). CLIMBER: Galaxy–Halo Connection Constraints from Next-generation Surveys. The Astrophysical Journal. 925(2). 180–180. 3 indexed citations
18.
Greene, Jenny E., Johnny P. Greco, Andy D. Goulding, et al.. (2022). The Nature of Low-surface-brightness Galaxies in the Hyper Suprime-Cam Survey. The Astrophysical Journal. 933(2). 150–150. 12 indexed citations
19.
Sawicki, Marcin, et al.. (2021). Evolution of the galaxy merger fraction in the CLAUDS+HSC-SSP deep\n fields. arXiv (Cornell University). 4 indexed citations
20.
Kado-Fong, Erin, Jenny E. Greene, David Hendel, et al.. (2018). Tidal Features at 0.05 < z < 0.45 in the Hyper Suprime-Cam Subaru Strategic Program: Properties and Formation Channels. The Astrophysical Journal. 866(2). 103–103. 37 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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