Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves
Impact in
- Instrumentation 104
Classified as
In The Last Decade
doi.org/w22696598 →Countries where authors are citing Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves
This map shows the geographic impact of Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves. 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 Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves more than expected).
Fields of papers citing Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves
This network shows the impact of Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves.
About Kepler Presearch Data Conditioning I – Architecture and Algorithms for Error Correction in Kepler Light Curves
This paper, published in 2016, received 240 indexed citations . Written by Martin C. Stumpe, Jeffrey C. Smith, Jeffrey E. Van Cleve, Joseph D. Twicken, Thomas Barclay, M. N. Fanelli, Forrest R. Girouard, Jon M. Jenkins, Jeffery J. Kolodziejczak and Sean McCauliff covering the research area of Instrumentation, Astronomy and Astrophysics and Computational Mechanics. It is primarily cited by scholars working on Astronomy and Astrophysics (235 citations), Instrumentation (104 citations), Computational Mechanics (15 citations), Atomic and Molecular Physics, and Optics (13 citations) and Applied Mathematics (4 citations).
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This paper is also available at doi.org/w22696598.