KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
Countries where authors are citing KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
This map shows the geographic impact of KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction. 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 KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction more than expected).
Fields of papers citing KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
This network shows the impact of KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction.
About KeplerPresearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
This paper, published in 2012, received 349 indexed citations . Written by Jeffrey C. Smith, Martin C. Stumpe, Jeffrey E. Van Cleve, Jon M. Jenkins, Thomas Barclay, M. N. Fanelli, Forrest R. Girouard, Jeffery J. Kolodziejczak, Sean McCauliff and Robert Morris covering the research area of Applied Mathematics, Analytical Chemistry and Signal Processing. It is primarily cited by scholars working on Astronomy and Astrophysics (341 citations), Instrumentation (158 citations) and Computational Mechanics (28 citations). Published in Publications of the Astronomical Society of the Pacific.
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This paper is also available at doi.org/10.1086/667697.