Greg Kopp

5.6k total citations · 1 hit paper
103 papers, 2.9k citations indexed

About

Greg Kopp is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Greg Kopp has authored 103 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Astronomy and Astrophysics, 39 papers in Artificial Intelligence and 35 papers in Aerospace Engineering. Recurrent topics in Greg Kopp's work include Solar and Space Plasma Dynamics (50 papers), Solar Radiation and Photovoltaics (39 papers) and Calibration and Measurement Techniques (34 papers). Greg Kopp is often cited by papers focused on Solar and Space Plasma Dynamics (50 papers), Solar Radiation and Photovoltaics (39 papers) and Calibration and Measurement Techniques (34 papers). Greg Kopp collaborates with scholars based in United States, Germany and Switzerland. Greg Kopp's co-authors include J. Lean, G. J. Rottman, G. M. Lawrence, J. W. Harder, T. N. Woods, Martin Snow, N. A. Krivova, D. M. Rabin, Phillip C. Chamberlin and W. Schmütz and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Greg Kopp

95 papers receiving 2.7k citations

Hit Papers

A new, lower value of total solar irradiance: Evidence an... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Kopp United States 25 1.6k 1.3k 895 729 472 103 2.9k
W. Schmütz Switzerland 35 2.6k 1.6× 1.6k 1.3× 1.0k 1.2× 571 0.8× 287 0.6× 205 3.8k
J. W. Harder United States 34 1.8k 1.1× 2.3k 1.8× 1.3k 1.4× 590 0.8× 398 0.8× 85 3.5k
R. C. Willson United States 20 1.4k 0.9× 732 0.6× 531 0.6× 770 1.1× 205 0.4× 63 2.1k
Martin Snow United States 23 1.5k 1.0× 892 0.7× 323 0.4× 371 0.5× 347 0.7× 80 2.0k
G. J. Rottman United States 42 4.9k 3.1× 3.3k 2.6× 1.0k 1.1× 994 1.4× 773 1.6× 152 6.0k
G. Thuillier France 23 1.3k 0.8× 1.1k 0.8× 463 0.5× 235 0.3× 609 1.3× 62 2.1k
D. Labs Germany 15 795 0.5× 961 0.8× 635 0.7× 265 0.4× 612 1.3× 29 2.0k
J. R. Hickey United States 19 508 0.3× 692 0.5× 632 0.7× 378 0.5× 219 0.5× 66 1.4k
Rolf Philipona Switzerland 29 432 0.3× 2.1k 1.6× 2.2k 2.4× 500 0.7× 263 0.6× 75 3.3k
Peter Pilewskie United States 33 548 0.3× 3.3k 2.6× 3.0k 3.3× 433 0.6× 369 0.8× 152 4.0k

Countries citing papers authored by Greg Kopp

Since Specialization
Citations

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

Fields of papers citing papers by Greg Kopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Kopp

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Kopp. A scholar is included among the top collaborators of Greg Kopp 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 Greg Kopp. Greg Kopp 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.
Kopp, Greg. (2025). Solar irradiance measurements. PubMed. 22(1). 1–1.
2.
Марченко, С. В., Antje Ludewig, S. Criscuoli, et al.. (2024). Sun-as-a-Star Spectral Line Variability in the 300–2390 nm Wavelength Range. The Astrophysical Journal. 977(1). 33–33.
3.
Clette, F., Laure Lefèvre, Theodosios Chatzistergos, et al.. (2023). Recalibration of the Sunspot-Number: Status Report. Solar Physics. 298(3). 43 indexed citations
4.
Vieira, L. E. A., et al.. (2022). Variability of the Sun’s Luminosity Places Constraints on the Thermal Equilibrium of the Convection Zone. The Astrophysical Journal Supplement Series. 260(2). 38–38.
5.
Wit, Thierry Dudok de & Greg Kopp. (2020). 1/f noise in irradiance records affects our understanding of trends in solar radiative forcing. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
6.
Coddington, Odele, J. Lean, Peter Pilewskie, et al.. (2019). A Comparative Assessment of Solar Irradiance Observations and Models at the Dawn of TSIS. 1 indexed citations
7.
Coddington, Odele, J. Lean, Peter Pilewskie, et al.. (2018). Recent Advances of the NOAA Solar Irradiance Climate Data Record and Comparisons with Independent Datasets. EGU General Assembly Conference Abstracts. 5539.
8.
Pilewskie, Peter, et al.. (2018). TSIS-1 and Continuity of the Total and Spectral Solar Irradiance Climate Data Record. EGU General Assembly Conference Abstracts. 5527. 7 indexed citations
9.
Pilewskie, Peter, et al.. (2016). Continuing the Solar Irradiance Data Record with TSIS. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
10.
Wielicki, Bruce A., Rosemary R. Baize, M. G. Mlynczak, et al.. (2015). CLARREO Pathfinder Mission: Enabling Faster Observation of Climate Change. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
11.
Kopp, Greg. (2015). Solar Variability Magnitudes and Timescales. 29. 2251303. 1 indexed citations
12.
Fehlmann, André, Greg Kopp, W. Schmütz, et al.. (2011). PREMOS Absolute Radiometer Calibration and Implications to on-orbit Measurements of the Total Solar Irradiance. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
13.
Pilewskie, Peter, et al.. (2009). Evaluating the Variability of Earth-reflected Hyperspectral Data Using Principal Component Analysis. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
14.
Unruh, Y. C., N. A. Krivova, S. K. Solanki, J. W. Harder, & Greg Kopp. (2008). Spectral irradiance variations: comparison between observations and the SATIRE model on solar rotation time scales. Springer Link (Chiba Institute of Technology). 34 indexed citations
15.
Harder, J. W., G. M. Lawrence, Peter Pilewskie, et al.. (2008). SI-Traceable Solar Spectral Irradiance Measurements: The NPOESS TSIS Spectral Irradiance Monitor. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
16.
Pankratz, C. K., Barry G. Knapp, J. M. Fontenla, et al.. (2005). SORCE Solar Irradiance Data Products. AGU Spring Meeting Abstracts. 2005. 1 indexed citations
17.
Kopp, Greg, James J. Butler, & G. M. Lawrence. (2005). The Absolute Accuracy of Space-Borne TSI Instruments: A Summary From the July 2005 TSI Accuracy Workshop. AGU Fall Meeting Abstracts. 2005.
18.
Kopp, Greg, Martin Snow, W. McClintock, & T. N. Woods. (2005). A Comparison of Total Solar Irradiance to the Mg II Index Based on SORCE Measurements. AGU Spring Meeting Abstracts. 2005. 1 indexed citations
19.
Kopp, Greg, G. M. Lawrence, & G. J. Rottman. (2003). What is the Accuracy of the Total Irradiance Monitor. AGU Fall Meeting Abstracts. 2003. 1 indexed citations
20.
Lindsey, C., et al.. (1988). Simultaneous Observations of Far-Infrared Solar Continuum Brightness Variations and Five-Minute Oscillations. Bulletin of the American Astronomical Society. 20. 690. 2 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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