John C. Barentine

21.6k total citations
48 papers, 1.4k citations indexed

About

John C. Barentine is a scholar working on Global and Planetary Change, Astronomy and Astrophysics and Instrumentation. According to data from OpenAlex, John C. Barentine has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 18 papers in Astronomy and Astrophysics and 9 papers in Instrumentation. Recurrent topics in John C. Barentine's work include Impact of Light on Environment and Health (24 papers), Stellar, planetary, and galactic studies (12 papers) and Astronomy and Astrophysical Research (9 papers). John C. Barentine is often cited by papers focused on Impact of Light on Environment and Health (24 papers), Stellar, planetary, and galactic studies (12 papers) and Astronomy and Astrophysical Research (9 papers). John C. Barentine collaborates with scholars based in United States, Slovakia and Germany. John C. Barentine's co-authors include Miroslav Kocifaj, H. Brewington, J. Krzesiński, Eric H. Neilsen, A. Nitta, Stephanie A. Snedden, Dan Long, Michael Harvanek, S. J. Kleinman and Donald G. York and has published in prestigious journals such as Science, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

John C. Barentine

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Barentine United States 19 849 349 344 116 85 48 1.4k
David Hall United States 16 666 0.8× 229 0.7× 187 0.5× 69 0.6× 11 0.1× 43 1.3k
Vincent Eymet France 14 1.2k 1.5× 152 0.4× 225 0.7× 27 0.2× 39 0.5× 25 1.6k
M. Vaccari Italy 23 1.7k 2.0× 58 0.2× 567 1.6× 73 0.6× 53 0.6× 110 2.1k
Zhaohui Shang China 18 1.0k 1.2× 86 0.2× 263 0.8× 127 1.1× 17 0.2× 67 1.2k
C. B. Luginbuhl United States 17 1.2k 1.4× 315 0.9× 469 1.4× 92 0.8× 75 0.9× 47 1.5k
G. Carraro Italy 35 5.0k 5.8× 96 0.3× 2.4k 7.1× 88 0.8× 37 0.4× 249 5.2k
C. Muñoz–Tuñón Spain 24 1.4k 1.6× 230 0.7× 610 1.8× 276 2.4× 80 0.9× 127 1.8k
Merle F. Walker United States 17 999 1.2× 202 0.6× 218 0.6× 74 0.6× 37 0.4× 112 1.3k
R. L. Webster Australia 28 2.5k 3.0× 63 0.2× 626 1.8× 258 2.2× 44 0.5× 125 2.8k
J. Gallego Spain 28 2.6k 3.1× 295 0.8× 1.6k 4.7× 148 1.3× 130 1.5× 175 2.9k

Countries citing papers authored by John C. Barentine

Since Specialization
Citations

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

Fields of papers citing papers by John C. Barentine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Barentine. 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 John C. Barentine. The network helps show where John C. Barentine may publish in the future.

Co-authorship network of co-authors of John C. Barentine

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Barentine. A scholar is included among the top collaborators of John C. Barentine 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 John C. Barentine. John C. Barentine 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.
Thomas, Duncan C., et al.. (2025). Only shine the light where and when it is needed – the impact of light pollution. Future Healthcare Journal. 12(4). 100470–100470.
2.
Kocifaj, Miroslav, et al.. (2023). A systematic light pollution modelling bias in present night sky brightness predictions. Nature Astronomy. 7(3). 269–279. 9 indexed citations
3.
Barentine, John C., et al.. (2023). Aggregate effects of proliferating low-Earth-orbit objects and implications for astronomical data lost in the noise. Nature Astronomy. 7(3). 252–258. 19 indexed citations
4.
Kocifaj, Miroslav, František Kundracík, Salvador Bará, & John C. Barentine. (2023). Vertical distribution of aerosol extinction coefficients at night derived from radiometry of scattered laser light. Atmospheric Environment. 297. 119599–119599. 3 indexed citations
5.
Kocifaj, Miroslav, et al.. (2023). Measuring and monitoring light pollution: Current approaches and challenges. Science. 380(6650). 1121–1124. 29 indexed citations
6.
Kocifaj, Miroslav, František Kundracík, & John C. Barentine. (2023). Aerosol parameters for night sky brightness modelling estimated from daytime sky images. Monthly Notices of the Royal Astronomical Society. 523(2). 2678–2683. 2 indexed citations
7.
Kocifaj, Miroslav, et al.. (2022). Nighttime Atmospheric Scattering Phase Function Derived From the Scattered Light of a Laser Beam. Geophysical Research Letters. 49(10). 3 indexed citations
8.
Elvidge, Christopher D., Mikhail Zhizhin, David M. Keith, et al.. (2022). The VIIRS Day/Night Band: A Flicker Meter in Space?. Remote Sensing. 14(6). 1316–1316. 13 indexed citations
9.
Barentine, John C., et al.. (2021). A Case for a New Satellite Mission for Remote Sensing of Night Lights. Remote Sensing. 13(12). 2294–2294. 31 indexed citations
10.
Bará, Salvador, et al.. (2021). On the Relation between the Astronomical and Visual Photometric Systems in Specifying the Brightness of the Night Sky for Mesopically Adapted Observers. LEUKOS The Journal of the Illuminating Engineering Society of North America. 18(4). 447–458. 9 indexed citations
11.
Kyba, Christopher C. M., et al.. (2020). Direct measurement of the contribution of street lighting to satellite observations of nighttime light emissions from urban areas. Lighting Research & Technology. 53(3). 189–211. 46 indexed citations
12.
Kyba, Christopher C. M., Sara B. Pritchard, A. Roger Ekirch, et al.. (2020). Night Matters—Why the Interdisciplinary Field of “Night Studies” Is Needed. SHILAP Revista de lepidopterología. 3(1). 1–6. 28 indexed citations
13.
Barentine, John C.. (2019). Methods for Assessment and Monitoring of Light Pollution around Ecologically Sensitive Sites. Journal of Imaging. 5(5). 54–54. 24 indexed citations
14.
Alam, Shadab, John C. Barentine, D. B. Caton, et al.. (2019). Light Pollution, Radio Interference, and Space Debris: Threats and Opportunities in the 2020s. Smith ScholarWorks (Smith College). 51(7). 97. 3 indexed citations
15.
Barentine, John C., et al.. (2018). The Consortium for Dark Sky Studies: A Transdisciplinary Institute for Understanding the Loss of the Night. 231. 1 indexed citations
16.
Barentine, John C., et al.. (2018). Skyglow changes over Tucson, Arizona, resulting from a municipal LED street lighting conversion. Journal of Quantitative Spectroscopy and Radiative Transfer. 212. 10–23. 38 indexed citations
17.
Hearty, Frederick R., D. Q. Lamb, R. McMillan, et al.. (2006). GRB 060512: detection of NIR afterglow.. GRB Coordinates Network. 5126. 1. 1 indexed citations
18.
Hearty, Frederick R., Guy S. Stringfellow, D. Q. Lamb, et al.. (2005). GRB 050713: ARC NIR detections and identification of fading.. GCN. 3583. 1. 1 indexed citations
19.
Hearty, Frederick R., D. Q. Lamb, John C. Barentine, et al.. (2004). NIR observations of GRB 041219.. GRB Coordinates Network. 2916. 1.
20.
Newman, Peter R., Dan Long, Stephanie A. Snedden, et al.. (2004). Mass-producing spectra: The SDSS spectrographic system. 7 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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