Daniel J. Farrow

2.7k total citations
36 papers, 485 citations indexed

About

Daniel J. Farrow is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Daniel J. Farrow has authored 36 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 24 papers in Instrumentation and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Daniel J. Farrow's work include Galaxies: Formation, Evolution, Phenomena (30 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (12 papers). Daniel J. Farrow is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (30 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (12 papers). Daniel J. Farrow collaborates with scholars based in Germany, United States and United Kingdom. Daniel J. Farrow's co-authors include N. Metcalfe, P. Norberg, Catherine Heymans, Shaun Cole, E. A. Magnier, P. A. Price, P. W. Draper, N. Kaiser, J. Loveday and Henk Hoekstra and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Daniel J. Farrow

30 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Farrow Germany 13 465 246 73 29 24 36 485
H. Salas Chile 4 674 1.4× 282 1.1× 88 1.2× 28 1.0× 16 0.7× 7 702
Daichi Kashino Japan 16 572 1.2× 249 1.0× 75 1.0× 17 0.6× 19 0.8× 38 615
Hitomi Yamanoi Japan 6 537 1.2× 308 1.3× 75 1.0× 27 0.9× 21 0.9× 10 553
James Trussler United Kingdom 12 651 1.4× 379 1.5× 68 0.9× 13 0.4× 28 1.2× 23 685
Taira Oogi Japan 11 481 1.0× 201 0.8× 114 1.6× 24 0.8× 43 1.8× 23 526
David V. Stark United States 17 681 1.5× 370 1.5× 55 0.8× 21 0.7× 20 0.8× 42 714
L. Y. Aaron Yung United States 16 711 1.5× 432 1.8× 96 1.3× 23 0.8× 26 1.1× 37 751
Leonardo Ferreira United Kingdom 14 583 1.3× 377 1.5× 65 0.9× 18 0.6× 21 0.9× 38 666
J. Snigula Germany 13 569 1.2× 343 1.4× 65 0.9× 36 1.2× 19 0.8× 26 585
Fabrício Ferrari Brazil 12 505 1.1× 198 0.8× 92 1.3× 15 0.5× 12 0.5× 32 542

Countries citing papers authored by Daniel J. Farrow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Farrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Farrow. 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 Daniel J. Farrow. The network helps show where Daniel J. Farrow may publish in the future.

Co-authorship network of co-authors of Daniel J. Farrow

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Farrow. A scholar is included among the top collaborators of Daniel J. Farrow 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 Daniel J. Farrow. Daniel J. Farrow 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.
Gebhardt, Karl, Erin Mentuch Cooper, Robin Ciardullo, et al.. (2025). Using Lyα Absorption to Measure the Intensity and Variability of z ∼ 2.4 Ultraviolet Background Light. The Astrophysical Journal. 983(1). 72–72. 1 indexed citations
2.
Farrow, Daniel J., et al.. (2025). One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics. Scientific Reports. 15(1). 12157–12157. 1 indexed citations
3.
Gebhardt, Karl, Erin Mentuch Cooper, Robin Ciardullo, et al.. (2025). The HETDEX Survey: Probing Neutral Hydrogen in the Circumgalactic Medium of ∼88,000 Lyα Emitters. The Astrophysical Journal. 989(2). 169–169.
4.
Liu, Chenxu, Karl Gebhardt, Erin Mentuch Cooper, et al.. (2025). The Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX) Active Galactic Nuclei Catalog: The Fourth Data Release. The Astrophysical Journal Supplement Series. 276(2). 72–72.
5.
Durkalec, A., A. Pollo, William Pearson, et al.. (2024). Do galaxy mergers prefer under-dense environments?. Astronomy and Astrophysics. 686. A40–A40. 5 indexed citations
6.
7.
Vinkó, J., Benjamin P. Thomas, J. C. Wheeler, et al.. (2023). Searching for Supernovae in HETDEX Data Release 3*. The Astrophysical Journal. 946(1). 31–31. 1 indexed citations
8.
Gebhardt, Karl, Keely Finkelstein, Erin Mentuch Cooper, et al.. (2023). Using Dark Energy Explorers and Machine Learning to Enhance the Hobby–Eberly Telescope Dark Energy Experiment. The Astrophysical Journal. 950(2). 82–82. 1 indexed citations
9.
Zhang, Yechi, Masami Ouchi, Karl Gebhardt, et al.. (2023). The Stellar Mass–Black Hole Mass Relation at z ∼ 2 down to BH ∼ 10 7 M ⊙ Determined by HETDEX. The Astrophysical Journal. 948(2). 103–103. 8 indexed citations
10.
Finkelstein, Steven L., Gene C. K. Leung, Erin Mentuch Cooper, et al.. (2023). Identifying Active Galactic Nuclei at z ∼ 3 from the HETDEX Survey Using Machine Learning. The Astronomical Journal. 165(4). 153–153. 2 indexed citations
11.
Liu, Chenxu, Karl Gebhardt, Erin Mentuch Cooper, et al.. (2022). The Active Galactic Nuclei in the Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX). II. Luminosity Function. The Astrophysical Journal. 935(2). 132–132. 5 indexed citations
12.
Liu, Chenxu, Karl Gebhardt, Erin Mentuch Cooper, et al.. (2022). The Active Galactic Nuclei in the Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX). I. Sample Selection. The Astrophysical Journal Supplement Series. 261(2). 24–24. 6 indexed citations
13.
Bowman, W. Paul, Robin Ciardullo, Max Grönke, et al.. (2022). Lyα Halos around [O iii]-selected Galaxies in HETDEX. The Astrophysical Journal Letters. 934(2). L26–L26. 13 indexed citations
14.
Durkalec, A., A. Pollo, Maciej Bilicki, et al.. (2021). Galaxy and Mass Assembly (GAMA). Springer Link (Chiba Institute of Technology). 1 indexed citations
15.
Farrow, Daniel J., Ariel G. Sánchez, Robin Ciardullo, et al.. (2021). Correcting correlation functions for redshift-dependent interloper contamination. Monthly Notices of the Royal Astronomical Society. 507(3). 3187–3206. 12 indexed citations
16.
Gebhardt, Karl, Erin Mentuch Cooper, John Chisholm, et al.. (2021). Detection of Lyman Continuum from 3.0 < z < 3.5 Galaxies in the HETDEX Survey. The Astrophysical Journal. 920(2). 122–122. 6 indexed citations
17.
Magnier, E. A., William E. Sweeney, K. C. Chambers, et al.. (2020). Pan-STARRS Pixel Analysis: Source Detection and Characterization. The Astrophysical Journal Supplement Series. 251(1). 5–5. 50 indexed citations
18.
Georgiou, Christos, Henk Hoekstra, Massimo Viola, et al.. (2019). The dependence of intrinsic alignment of galaxies on wavelength using KiDS and GAMA. Springer Link (Chiba Institute of Technology). 15 indexed citations
19.
Georgiou, Christos, Benjamin Joachimi, Henk Hoekstra, et al.. (2019). KiDS+GAMA: Intrinsic alignment model constraints for current and future weak lensing cosmology. Astronomy and Astrophysics. 624. A30–A30. 51 indexed citations
20.
Campbell, David J. R., C. M. Baugh, Peter Mitchell, et al.. (2015). A new methodology to test galaxy formation models using the dependence of clustering on stellar mass. Monthly Notices of the Royal Astronomical Society. 452(1). 852–871. 23 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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