Justin Alsing

4.6k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Justin Alsing is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Justin Alsing has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 10 papers in Artificial Intelligence and 8 papers in Atmospheric Science. Recurrent topics in Justin Alsing's work include Galaxies: Formation, Evolution, Phenomena (19 papers), Cosmology and Gravitation Theories (9 papers) and Gaussian Processes and Bayesian Inference (9 papers). Justin Alsing is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (19 papers), Cosmology and Gravitation Theories (9 papers) and Gaussian Processes and Bayesian Inference (9 papers). Justin Alsing collaborates with scholars based in United Kingdom, Sweden and United States. Justin Alsing's co-authors include B. D. Wandelt, Emanuele Berti, Stephen M. Feeney, Hector O. Silva, Alan Heavens, D. Mortlock, Andrew H. Jaffe, Clifford M. Will, Helmut W. Zaglauer and Suhail Dhawan and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

Justin Alsing

36 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

2022 100 citations Justin Alsing et al. Monthly Notices of the Royal Astronomical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Alsing United Kingdom	20	1.2k	346	229	179	175	38	1.6k
D. Mortlock United Kingdom	30	2.6k 2.1×	731 2.1×	100 0.4×	105 0.6×	595 3.4×	80	2.9k
Thomas J. Loredo United States	21	1.4k 1.1×	352 1.0×	84 0.4×	170 0.9×	118 0.7×	54	1.7k
Daniel Foreman-Mackey United States	27	3.2k 2.6×	316 0.9×	150 0.7×	121 0.7×	1.1k 6.3×	84	3.6k
Will Handley United Kingdom	26	1.9k 1.6×	1.1k 3.1×	162 0.7×	57 0.3×	194 1.1×	93	2.4k
Joshua S. Speagle United States	17	2.5k 2.0×	300 0.9×	68 0.3×	73 0.4×	786 4.5×	60	2.7k
M. P. Hobson United Kingdom	24	2.2k 1.8×	1.2k 3.4×	162 0.7×	53 0.3×	252 1.4×	60	2.6k
Andrew H. Jaffe United States	25	2.1k 1.7×	889 2.6×	118 0.5×	39 0.2×	167 1.0×	63	2.3k
V. Kashyap United States	26	2.5k 2.0×	391 1.1×	69 0.3×	57 0.3×	207 1.2×	137	2.7k
R. H. Cameron Germany	37	3.1k 2.5×	64 0.2×	463 2.0×	130 0.7×	159 0.9×	167	3.8k
Johannes Büchner Germany	22	2.3k 1.9×	679 2.0×	56 0.2×	85 0.5×	459 2.6×	89	2.6k

Countries citing papers authored by Justin Alsing

Since Specialization

Citations

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

Fields of papers citing papers by Justin Alsing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Alsing

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

All Works

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20 of 20 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

Hoffmann, Till & Justin Alsing. (2023). Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(2). 330–345. 18 indexed citations

Bevins, H. T. J., Will Handley, Pablo Lemos, et al.. (2023). Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators. Monthly Notices of the Royal Astronomical Society. 526(3). 4613–4626. 9 indexed citations

Alsing, Justin, Hiranya V. Peiris, D. Mortlock, Joel Leja, & Boris Leistedt. (2023). Forward Modeling of Galaxy Populations for Cosmological Redshift Distribution Inference. The Astrophysical Journal Supplement Series. 264(2). 29–29. 17 indexed citations

Leistedt, Boris, Justin Alsing, Hiranya V. Peiris, D. Mortlock, & Joel Leja. (2023). Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models. The Astrophysical Journal Supplement Series. 264(1). 23–23. 13 indexed citations

10.

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

11.

Chabrillat, Simon, Quentin Errera, Douglas E. Kinnison, et al.. (2022). Evaluation of the N₂O Rate of Change to Understand the Stratospheric Brewer‐Dobson Circulation in a Chemistry‐Climate Model. Journal of Geophysical Research Atmospheres. 127(22). e2021JD036390–e2021JD036390. 2 indexed citations

12.

Khaire, Vikram, Joseph F. Hennawi, Michael Walther, et al.. (2022). Measuring the thermal and ionization state of the low-z IGM using likelihood free inference. Monthly Notices of the Royal Astronomical Society. 515(2). 2188–2207. 7 indexed citations

13.

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

14.

Ball, William T., Gabriel Chiodo, Marta Ábalos, Justin Alsing, & Andrea Stenke. (2020). Inconsistencies between chemistry–climate models and observed lower stratospheric ozone trends since 1998. Atmospheric chemistry and physics. 20(16). 9737–9752. 39 indexed citations

15.

Ball, William T., Eugene Rozanov, Justin Alsing, et al.. (2019). The Upper Stratospheric Solar Cycle Ozone Response. Geophysical Research Letters. 46(3). 1831–1841. 18 indexed citations

16.

Alsing, Justin. (2019). dlmmc: Dynamical linear model regression for atmospheric time-series analysis. The Journal of Open Source Software. 4(37). 1157–1157. 11 indexed citations

17.

Ball, William T., Gabriel Chiodo, Marta Ábalos, & Justin Alsing. (2019). Inconsistencies between chemistry climate model and observed lower stratospheric trends since 1998. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

18.

Ball, William T., Justin Alsing, J. Staehelin, et al.. (2019). Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability. Atmospheric chemistry and physics. 19(19). 12731–12748. 65 indexed citations

19.

Feeney, Stephen M., Hiranya V. Peiris, A. R. Williamson, et al.. (2019). Prospects for Resolving the Hubble Constant Tension with Standard Sirens. Physical Review Letters. 122(6). 61105–61105. 125 indexed citations

20.

Ball, William T., Justin Alsing, D. Mortlock, et al.. (2017). Reconciling differences in stratospheric ozone composites. Atmospheric chemistry and physics. 17(20). 12269–12302. 41 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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