S. A. Christopher

823 total citations
20 papers, 337 citations indexed

About

S. A. Christopher is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, S. A. Christopher has authored 20 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 3 papers in Artificial Intelligence. Recurrent topics in S. A. Christopher's work include Atmospheric aerosols and clouds (12 papers), Atmospheric chemistry and aerosols (10 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). S. A. Christopher is often cited by papers focused on Atmospheric aerosols and clouds (12 papers), Atmospheric chemistry and aerosols (10 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). S. A. Christopher collaborates with scholars based in United States, United Kingdom and Norway. S. A. Christopher's co-authors include Thomas A. Jones, Johannes Quaas, Gunnar Myhre, Mona Johnsrud, Patricia K. Quinn, Jaroslav Schwarz, Ralph A. Kahn, L. A. Remer, I. S. A. Isaksen and Tore Flatlandsmo Berglen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric chemistry and physics and International Journal of Remote Sensing.

In The Last Decade

S. A. Christopher

19 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. Christopher United States 10 299 290 46 37 30 20 337
M.-J. Jeong South Korea 4 420 1.4× 416 1.4× 57 1.2× 30 0.8× 40 1.3× 6 457
Florian Ewald Germany 11 291 1.0× 295 1.0× 50 1.1× 56 1.5× 31 1.0× 32 353
Sung‐Kyun Shin South Korea 12 438 1.5× 406 1.4× 94 2.0× 21 0.6× 61 2.0× 41 497
B. Chen China 5 327 1.1× 343 1.2× 43 0.9× 58 1.6× 25 0.8× 6 379
Anja Costa Germany 8 416 1.4× 415 1.4× 48 1.0× 39 1.1× 17 0.6× 11 466
J. Barnard United States 5 408 1.4× 390 1.3× 51 1.1× 48 1.3× 21 0.7× 6 446
Tobias Kölling Germany 9 185 0.6× 194 0.7× 43 0.9× 46 1.2× 22 0.7× 23 249
T. Nagatani Japan 8 345 1.2× 309 1.1× 94 2.0× 76 2.1× 21 0.7× 10 378
Myeong‐Jae Jeong United States 13 477 1.6× 467 1.6× 48 1.0× 28 0.8× 25 0.8× 15 512
Yuxing Yun China 12 410 1.4× 377 1.3× 23 0.5× 22 0.6× 32 1.1× 24 437

Countries citing papers authored by S. A. Christopher

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Christopher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Christopher. 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 S. A. Christopher. The network helps show where S. A. Christopher may publish in the future.

Co-authorship network of co-authors of S. A. Christopher

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Christopher. A scholar is included among the top collaborators of S. A. Christopher 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 S. A. Christopher. S. A. Christopher 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.
Christopher, S. A., et al.. (2014). The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI). Atmospheric measurement techniques. 7(2). 581–597. 13 indexed citations
2.
Jones, Thomas A. & S. A. Christopher. (2011). A reanalysis of MODIS fine mode fraction over ocean using OMI and daily GOCART simulations. Atmospheric chemistry and physics. 11(12). 5805–5817. 10 indexed citations
3.
Haywood, Jim, Ben Johnson, S. Osborne, et al.. (2011). Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign. Quarterly Journal of the Royal Meteorological Society. 137(658). 1106–1116. 39 indexed citations
4.
Johnson, Ben, M. E. Brooks, David Walters, et al.. (2011). Assessment of the Met Office dust forecast model using observations from the GERBILS campaign. Quarterly Journal of the Royal Meteorological Society. 137(658). 1131–1148. 26 indexed citations
5.
Jones, Thomas A. & S. A. Christopher. (2010). Statistical properties of aerosol-cloud-precipitation interactions in South America. Atmospheric chemistry and physics. 10(5). 2287–2305. 25 indexed citations
6.
Christopher, S. A., et al.. (2009). Multi Sensor Aerosol Optical Thickness Inter-comparison over Saharan Desert during GERBILS Field Campaign. AGUFM. 2009. 1 indexed citations
7.
Christopher, S. A., et al.. (2009). Particulate Matter Air Quality Assessment using Integrated Surface, Satellite, and Meteorological Products. AGU Fall Meeting Abstracts. 2009. 3 indexed citations
8.
Myhre, Gunnar, Tore Flatlandsmo Berglen, Mona Johnsrud, et al.. (2009). Modelled radiative forcing of the direct aerosol effect with multi-observation evaluation. Atmospheric chemistry and physics. 9(4). 1365–1392. 125 indexed citations
9.
Jones, Thomas A., S. A. Christopher, & Johannes Quaas. (2009). A six year satellite-based assessment of the regional variations in aerosol indirect effects. Atmospheric chemistry and physics. 9(12). 4091–4114. 46 indexed citations
10.
Ramachandran, Rahul, Sara Graves, Todd Berendes, et al.. (2009). Visualize, analyze and mine satellite imagery using a single tool. 30. 1–6. 1 indexed citations
11.
Ramachandran, Rahul, Sara Graves, Todd Berendes, et al.. (2009). GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery. 14. III–781. 1 indexed citations
12.
Redemann, Jens, Mark Vaughan, P. B. Russell, et al.. (2008). Comparisons of MODIS and CALIPSO level 2 aerosol products and their combined use for calculating direct aerosol radiative effects. AGUFM. 2008. 1 indexed citations
13.
Reid, Jeffrey S., Jiabin Zhang, S. A. Christopher, et al.. (2007). Application of Multi-Sensor Fusion to the Aerosol Forecasting Problem. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
14.
Christopher, S. A., et al.. (2004). The Effect of Central American Smoke Aerosols on the Air Quality and Climate over the Southeastern United States: First Results from RAMS-AROMA. AGUFM. 2004. 1 indexed citations
15.
Reid, Jeffrey S., Douglas L. Westphal, S. A. Christopher, et al.. (2002). South American smoke coverage and flux estimations from the Fire Locating and Modeling of Burning Emissions (FLAMBE') system.. AGUSM. 2002. 1 indexed citations
16.
Christopher, S. A., Jianglong Zhang, B. N. Holben, & Seungmi Yang. (2002). GOES-8 and NOAA-14 AVHRR retrieval of smoke aerosol optical thickness during SCAR-B. International Journal of Remote Sensing. 23(22). 4931–4944. 21 indexed citations
17.
Christopher, S. A., et al.. (1998). Automatic contrail detection and segmentation. IEEE Transactions on Geoscience and Remote Sensing. 36(5). 1609–1619. 10 indexed citations
18.
Christopher, S. A., et al.. (1997). The potential for collocated AGLP and ERBE data for fire, smoke, and radiation budget studies. International Journal of Remote Sensing. 18(12). 2657–2676. 11 indexed citations
19.
Christopher, S. A., et al.. (1996). Regional Comparisons of Satellite (AVHRR) and Space Shuttle (MAPS) Derived Estimates of CO and Aerosol Concentrations. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Welch, Ronald M., et al.. (1990). Cloud classification in polar regions using AVHRR textural and spectral signatures.

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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