Austin Hoag

1.8k total citations
19 papers, 468 citations indexed

About

Austin Hoag is a scholar working on Astronomy and Astrophysics, Instrumentation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Austin Hoag has authored 19 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Austin Hoag's work include Galaxies: Formation, Evolution, Phenomena (12 papers), Astronomy and Astrophysical Research (7 papers) and Astrophysical Phenomena and Observations (4 papers). Austin Hoag is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (12 papers), Astronomy and Astrophysical Research (7 papers) and Astrophysical Phenomena and Observations (4 papers). Austin Hoag collaborates with scholars based in United States, Germany and Italy. Austin Hoag's co-authors include Maruša Bradač, Tommaso Treu, Michele Trenti, L. Pentericci, Charlotte Mason, A. Fontana, Alaina Henry, Matthew A. Malkan, Tucker Jones and Louis E. Abramson and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Austin Hoag

18 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin Hoag United States 11 352 158 96 53 34 19 468
Kaustuv Basu Germany 15 538 1.5× 107 0.7× 252 2.6× 26 0.5× 35 1.0× 30 655
Christopher Cain United States 13 117 0.3× 29 0.2× 54 0.6× 23 0.4× 15 0.4× 27 831
David Levitan United States 15 301 0.9× 55 0.3× 89 0.9× 11 0.2× 91 2.7× 28 648
Silvia Tommasin Italy 17 192 0.5× 50 0.3× 30 0.3× 93 1.8× 178 5.2× 43 785
Ting-Yi Lu Taiwan 13 343 1.0× 85 0.5× 60 0.6× 8 0.2× 21 0.6× 30 416
Andy Sanderson United Kingdom 16 779 2.2× 270 1.7× 188 2.0× 8 0.2× 38 1.1× 32 1.0k
J. M. Kreiner Poland 16 615 1.7× 198 1.3× 16 0.2× 8 0.2× 79 2.3× 59 794
D. Arnett United States 5 310 0.9× 64 0.4× 113 1.2× 3 0.1× 57 1.7× 22 477
N. E. Groeneboom Norway 8 226 0.6× 14 0.1× 101 1.1× 14 0.3× 42 1.2× 14 332
Christopher Marsden United Kingdom 9 150 0.4× 62 0.4× 26 0.3× 6 0.1× 20 0.6× 15 377

Countries citing papers authored by Austin Hoag

Since Specialization
Citations

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

Fields of papers citing papers by Austin Hoag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin Hoag

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

All Works

19 of 19 papers shown
1.
Zimmerman, Christopher A, Scott S. Bolkan, Alejandro Pan-Vazquez, et al.. (2025). A neural mechanism for learning from delayed postingestive feedback. Nature. 642(8068). 700–709. 4 indexed citations
2.
3.
Verpeut, Jessica L., Mikhail Kislin, F. William Townes, et al.. (2023). Cerebellar contributions to a brainwide network for flexible behavior in mice. Communications Biology. 6(1). 605–605. 17 indexed citations
4.
Hoag, Austin, et al.. (2023). Seldonian Toolkit: Building Software with Safe and Fair Machine Learning. 107–111. 7 indexed citations
5.
Pisano, Thomas J., Austin Hoag, Sara R. Guariglia, et al.. (2022). Automated high-throughput mouse transsynaptic viral tracing using iDISCO+ tissue clearing, light-sheet microscopy, and BrainPipe. STAR Protocols. 3(2). 101289–101289. 5 indexed citations
6.
Pisano, Thomas J., Mikhail Kislin, Esteban A. Engel, et al.. (2021). Homologous organization of cerebellar pathways to sensory, motor, and associative forebrain. Cell Reports. 36(12). 109721–109721. 67 indexed citations
7.
Lemaux, B. C., Maruša Bradač, Austin Hoag, et al.. (2020). Spectroscopically Confirmed Lyα Emitters from Redshift 5 to 7 behind 10 Galaxy Cluster Lenses. eScholarship (California Digital Library). 26 indexed citations
8.
Mason, Charlotte, A. Fontana, Tommaso Treu, et al.. (2019). Inferences on the timeline of reionization at z ∼ 8 from the KMOS Lens-Amplified Spectroscopic Survey. Monthly Notices of the Royal Astronomical Society. 485(3). 3947–3969. 158 indexed citations
9.
Bradač, Maruša, Kuang-Han Huang, A. Fontana, et al.. (2019). Hubble Frontier Field photometric catalogues of Abell 370 and RXC J2248.7−4431: multiwavelength photometry, photometric redshifts, and stellar properties. Monthly Notices of the Royal Astronomical Society. 489(1). 99–107. 15 indexed citations
10.
Strait, Victoria, Maruša Bradač, Austin Hoag, et al.. (2018). Mass and Light of Abell 370: A Strong and Weak Lensing Analysis. The Astrophysical Journal. 868(2). 129–129. 20 indexed citations
11.
Abramson, Louis E., Andrew B. Newman, Tommaso Treu, et al.. (2018). The Grism Lens-amplified Survey from Space (GLASS). XII. Spatially Resolved Galaxy Star Formation Histories and True Evolutionary Paths at z > 1*. The Astronomical Journal. 156(1). 29–29. 7 indexed citations
12.
Vulcani, Benedetta, Tommaso Treu, Carlo Nipoti, et al.. (2017). The Grism Lens-Amplified Survey from Space (GLASS). VIII. The Influence of the Cluster Properties on Hα Emitter Galaxies at 0.3 < z < 0.7. eScholarship (California Digital Library). 6 indexed citations
13.
Bradač, Maruša, D. A. García-Appadoo, Kuang-Han Huang, et al.. (2017). ALMA [C II] 158 μm Detection of a Redshift 7 Lensed Galaxy behind RX J1347.1-1145. eScholarship (California Digital Library). 37 indexed citations
14.
Hoag, Austin, Maruša Bradač, Michele Trenti, et al.. (2017). Spectroscopic confirmation of an ultra-faint galaxy at the epoch of reionization. Nature Astronomy. 1(5). 17 indexed citations
15.
Vulcani, Benedetta, Tommaso Treu, Takahiro Morishita, et al.. (2016). THE GRISM LENS-AMPLIFIED SURVEY from SPACE (GLASS). VII. the DIVERSITY of the DISTRIBUTION of STAR FORMATION in CLUSTER and FIELD GALAXIES at 0.3 ≤ z ≤ 0.7. eScholarship (California Digital Library). 22 indexed citations
16.
Huang, Kuang-Han, B. C. Lemaux, Austin Hoag, et al.. (2016). DETECTION of LYMAN-ALPHA EMISSION from A TRIPLY IMAGED z = 6.85 GALAXY behind MACS J2129.4-0741. eScholarship (California Digital Library). 22 indexed citations
17.
Treu, Tommaso, Maruša Bradač, Benedetta Vulcani, et al.. (2016). THE GRISM LENS-AMPLIFIED SURVEY FROM SPACE (GLASS). III. A CENSUS OF Lyα EMISSION AT FROM HST SPECTROSCOPY. eScholarship (California Digital Library). 35 indexed citations
18.
Hoag, Austin, Maruša Bradač, Kuang-Han Huang, et al.. (2015). RCS2 J232727.6-020437: AN EFFICIENT COSMIC TELESCOPE ATz= 0.6986. The Astrophysical Journal. 813(1). 37–37. 2 indexed citations
19.
Smith, F. G., Austin Hoag, C. Anguita, et al.. (1982). 50. Identification and Protection of Existing and Potential Observatory Sites. Transactions of the International Astronomical Union. 18(1). 667–668. 1 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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