This map shows the geographic impact of Martin Snow'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 Martin Snow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Snow more than expected).
This network shows the impact of papers produced by Martin Snow. 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 Martin Snow. The network helps show where Martin Snow may publish in the future.
Co-authorship network of co-authors of Martin Snow
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Snow.
A scholar is included among the top collaborators of Martin Snow 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 Martin Snow. Martin Snow is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Machol, Janet, Martin Snow, Donald L. Woodraska, et al.. (2019). An Improved Lyman‐Alpha Composite. Earth and Space Science. 6(12). 2263–2272.63 indexed citations
Lindholm, D. M., et al.. (2019). LASP Interactive Solar IRradiance Datacenter (LISIRD). EGUGA. 12479.1 indexed citations
8.
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.
Woods, T. N., Andrew Jones, Martin Snow, et al.. (2017). The Extreme Ultraviolet and X-Ray Irradiance Sensors (EXIS) on GOES-16: Measurements, Data Products, and First Results. EGU General Assembly Conference Abstracts. 9954.1 indexed citations
11.
Coddington, Odele, J. Lean, G. J. Rottman, et al.. (2016). The new climate data record of total and spectral solar irradiance: Current progress and future steps. EGUGA.2 indexed citations
12.
Harber, D., et al.. (2013). A Compact Solar Spectral Irradiance Monitor for Future Small Satellite and CubeSat Science Opportunities. AGU Fall Meeting Abstracts. 2013.3 indexed citations
13.
Lindholm, D. M., et al.. (2010). Solar Irradiance Data Products at the LASP Interactive Solar IRradiance Datacenter (LISIRD). AGU Fall Meeting Abstracts. 2010.15 indexed citations
14.
Holsclaw, G. M., Martin Snow, Amanda Hendrix, & W. E. McClintock. (2010). The LASP Lunar Albedo Measurement and Analysis from SOLSTICE (LLAMAS). Lunar and Planetary Science Conference. 2696.1 indexed citations
15.
Viereck, R. A., Martin Snow, M. T. DeLand, et al.. (2010). Trends in solar UV and EUV irradiance: An update to the MgII Index and a comparison of proxies and data to evaluate trends of the last 11-year solar cycle. AGU Fall Meeting Abstracts. 2010.4 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, 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
18.
Brandt, John C., et al.. (2002). Observations of cometary plasma tails and the heliosphere near solar maximum. 500(500). 557–562.2 indexed citations
19.
Brandt, J. C., et al.. (1997). Introduction to the GHRS Ultraviolet Spectral Atlas of 10 Lacertae. 190.
20.
Brandt, John C., C. E. Randall, Martin Snow, & Yu Yi. (1992). Initial overview of disconnection events in Halley's Comet 1986. 765. 29.2 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.