Dan Coe

14.7k total citations
107 papers, 2.8k citations indexed

About

Dan Coe is a scholar working on Astronomy and Astrophysics, Instrumentation and Cognitive Neuroscience. According to data from OpenAlex, Dan Coe has authored 107 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Astronomy and Astrophysics, 43 papers in Instrumentation and 11 papers in Cognitive Neuroscience. Recurrent topics in Dan Coe's work include Galaxies: Formation, Evolution, Phenomena (51 papers), Astronomy and Astrophysical Research (43 papers) and Gamma-ray bursts and supernovae (18 papers). Dan Coe is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (51 papers), Astronomy and Astrophysical Research (43 papers) and Gamma-ray bursts and supernovae (18 papers). Dan Coe collaborates with scholars based in United States, Israel and Spain. Dan Coe's co-authors include Johnny L. Matson, Tom Broadhurst, Adi Zitrin, Joanna Mazur, Larry Bradley, William I. Gardner, Robert Sovner, Roberta L. Babbitt, N. Benı́tez and H. C. Ford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Astrophysical Journal.

In The Last Decade

Dan Coe

93 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Coe United States 33 1.4k 780 563 524 514 107 2.8k
Mark R. Lovell United Kingdom 34 2.8k 2.0× 920 1.2× 233 0.4× 210 0.4× 190 0.4× 73 5.4k
Elizabeth Ann Barrett Norway 28 508 0.4× 209 0.3× 214 0.4× 669 1.3× 925 1.8× 60 2.1k
A. H. Córsico Argentina 30 2.6k 1.9× 1.1k 1.4× 90 0.2× 340 0.6× 101 0.2× 122 3.4k
Nicholas R. Eaton United States 41 290 0.2× 127 0.2× 512 0.9× 3.7k 7.0× 840 1.6× 112 5.8k
S. J. Wolk United States 32 2.1k 1.4× 191 0.2× 772 1.4× 39 0.1× 305 0.6× 169 3.4k
Matthew C. Johnson Canada 25 1.2k 0.9× 27 0.0× 194 0.3× 277 0.5× 93 0.2× 69 3.0k
Joel N. Bregman United States 37 4.0k 2.8× 662 0.8× 176 0.3× 83 0.2× 151 0.3× 189 4.4k
C. D. Wilson Canada 33 3.1k 2.1× 439 0.6× 457 0.8× 17 0.0× 24 0.0× 144 4.1k
M. Romoli Italy 24 1.2k 0.8× 8 0.0× 329 0.6× 208 0.4× 341 0.7× 203 2.9k
Richard J. Patterson United States 39 1.9k 1.3× 978 1.3× 64 0.1× 9 0.0× 66 0.1× 118 3.7k

Countries citing papers authored by Dan Coe

Since Specialization
Citations

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

Fields of papers citing papers by Dan Coe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Coe

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Coe. A scholar is included among the top collaborators of Dan Coe 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 Dan Coe. Dan Coe 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.
Hsiao, Tiger Yu-Yang, Michael W. Topping, Dan Coe, et al.. (2025). First Direct Carbon Abundance Measured at z  > 10 in the Lensed Galaxy MACS0647-JD. The Astrophysical Journal. 993(1). 70–70.
2.
Killi, Meghana, D. Watson, Gabriel Brammer, et al.. (2024). Deciphering the JWST spectrum of a ‘little red dot’ at z ∼ 4.53: An obscured AGN and its star-forming host. Astronomy and Astrophysics. 691. A52–A52. 31 indexed citations
3.
Zitrin, Adi, Justin Pierel, Lukas J. Furtak, et al.. (2023). A search for transients in the Reionization Lensing Cluster Survey (RELICS): three new supernovae. Monthly Notices of the Royal Astronomical Society. 522(3). 4718–4727. 2 indexed citations
4.
Welch, Brian, Dan Coe, Adi Zitrin, et al.. (2023). RELICS: Small-scale Star Formation in Lensed Galaxies at z = 6–10. The Astrophysical Journal. 943(1). 2–2. 9 indexed citations
5.
6.
Furtak, Lukas J., Adèle Plat, Adi Zitrin, et al.. (2022). A double-peaked Lyman-α emitter with a stronger blue peak multiply imaged by the galaxy cluster RXC J0018.5+1626. Monthly Notices of the Royal Astronomical Society. 516(1). 1373–1385. 12 indexed citations
7.
Strait, Victoria, Maruša Bradač, B. C. Lemaux, et al.. (2022). RELICS: small lensed z ≥ 5.5 galaxies selected as potential Lyman continuum leakers. Monthly Notices of the Royal Astronomical Society. 516(2). 2162–2170. 2 indexed citations
8.
Pelliccia, Debora, Victoria Strait, B. C. Lemaux, et al.. (2021). RELICS-DP7: Spectroscopic Confirmation of a Dichromatic Primeval Galaxy at z ∼ 7. The Astrophysical Journal Letters. 908(2). L30–L30. 5 indexed citations
9.
Grillo, C., M. Lombardi, P. Rosati, et al.. (2020). . Institutional Research Information System University of Ferrara (University of Ferrara). 4 indexed citations
10.
Mainali, Ramesh, Daniel P. Stark, Mengtao Tang, et al.. (2020). RELICS: spectroscopy of gravitationally lensed z ≃ 2 reionization-era analogues and implications for C iii] detections at z > 6. Monthly Notices of the Royal Astronomical Society. 494(1). 719–735. 18 indexed citations
11.
Ravindranath, Swara, Casey Papovich, Bethan L. James, et al.. (2019). Spatially-resolved studies of star-forming galaxies in the reionization epoch. Bulletin of the American Astronomical Society. 51(3). 500. 1 indexed citations
12.
Trenti, Michele, M. Stiavelli, Pascal A. Oesch, et al.. (2016). BRIGHT GALAXIES AT HUBBLE’S REDSHIFT DETECTION FRONTIER: PRELIMINARY RESULTS AND DESIGN FROM THE REDSHIFT z ∼ 9–10 BoRG PURE-PARALLEL HST SURVEY. The Astrophysical Journal. 817(2). 120–120. 38 indexed citations
13.
Bouwens, R. J., Pascal A. Oesch, Ivo Labbé, et al.. (2016). THE BRIGHT END OF THE z ∼ 9 AND z ∼ 10 UV LUMINOSITY FUNCTIONS USING ALL FIVE CANDELS FIELDS∗. The Astrophysical Journal. 830(2). 67–67. 81 indexed citations
14.
Coe, Dan. (2015). Trilogy: FITS image conversion software. Astrophysics Source Code Library. 1 indexed citations
15.
Coe, Dan & N. Benı́tez. (2015). ColorPro: PSF-corrected aperture-matched photometry. Astrophysics Source Code Library. 1 indexed citations
16.
Kelly, Patrick L., S. Rodney, Gabriel Brammer, et al.. (2015). Detection of a SN near the center of the galaxy cluster field MACS1149 consistent with predictions of a new image of Supernova Refsdal. The astronomer's telegram. 8402. 1.
17.
Merten, Julian, Dan Coe, Renato A. Dupke, et al.. (2011). Creation of cosmic structure in the complex galaxy cluster merger Abell 2744. Monthly Notices of the Royal Astronomical Society. 417(1). 333–347. 150 indexed citations
18.
Coe, Dan. (2008). Towards an understanding of dark matter: Precise gravitational lensing analysis complemented by robust photometric redshifts. PhDT. 2 indexed citations
19.
Frye, Brenda, N. Benı́tez, Dan Coe, et al.. (2006). The Advanced Camera Galaxy Redshift Survey. American Astronomical Society Meeting Abstracts. 209.
20.
Matson, Johnny L., Dan Coe, William I. Gardner, & Robert Sovner. (1991). A Factor Analytic Study of the Diagnostic Assessment for the Severely Handicapped Scale. The Journal of Nervous and Mental Disease. 179(9). 553–557. 43 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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