Keith D. Hutchison

709 total citations
29 papers, 554 citations indexed

About

Keith D. Hutchison is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Keith D. Hutchison has authored 29 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 19 papers in Atmospheric Science and 9 papers in Artificial Intelligence. Recurrent topics in Keith D. Hutchison's work include Atmospheric aerosols and clouds (23 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Atmospheric chemistry and aerosols (9 papers). Keith D. Hutchison is often cited by papers focused on Atmospheric aerosols and clouds (23 papers), Atmospheric and Environmental Gas Dynamics (17 papers) and Atmospheric chemistry and aerosols (9 papers). Keith D. Hutchison collaborates with scholars based in United States and Germany. Keith D. Hutchison's co-authors include John Jackson, Thomas J. Kopp, Andrew K. Heidinger, R. Frey, Eric T. Wong, S. C. Ou, Robert Mahoney, Michael J. Pavolonis, William M. Thomas and B. Hauss and has published in prestigious journals such as Geophysical Research Letters, Atmospheric Environment and International Journal of Remote Sensing.

In The Last Decade

Keith D. Hutchison

27 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith D. Hutchison United States 13 470 413 90 79 60 29 554
T. Nakajima Japan 5 425 0.9× 388 0.9× 56 0.6× 38 0.5× 13 0.2× 11 509
Nikos Benas Greece 12 482 1.0× 405 1.0× 127 1.4× 102 1.3× 87 1.4× 25 624
Q. Ji United States 9 1.2k 2.5× 1.1k 2.7× 60 0.7× 114 1.4× 35 0.6× 16 1.2k
Run Ma China 9 434 0.9× 366 0.9× 46 0.5× 19 0.2× 160 2.7× 21 551
Hongqing Liu United States 10 614 1.3× 625 1.5× 91 1.0× 94 1.2× 20 0.3× 18 701
Juan Antonio Bravo-Aranda Spain 19 842 1.8× 805 1.9× 141 1.6× 99 1.3× 22 0.4× 50 938
Guangzhen Cao China 8 215 0.5× 190 0.5× 96 1.1× 33 0.4× 23 0.4× 30 324
Xueting Mi China 5 232 0.5× 183 0.4× 125 1.4× 86 1.1× 23 0.4× 5 375
Lu She China 13 359 0.8× 350 0.8× 121 1.3× 114 1.4× 9 0.1× 33 452
Yamin Guo China 7 244 0.5× 208 0.5× 88 1.0× 17 0.2× 16 0.3× 9 317

Countries citing papers authored by Keith D. Hutchison

Since Specialization
Citations

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

Fields of papers citing papers by Keith D. Hutchison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith D. Hutchison. 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 Keith D. Hutchison. The network helps show where Keith D. Hutchison may publish in the future.

Co-authorship network of co-authors of Keith D. Hutchison

This figure shows the co-authorship network connecting the top 25 collaborators of Keith D. Hutchison. A scholar is included among the top collaborators of Keith D. Hutchison 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 Keith D. Hutchison. Keith D. Hutchison 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.
Hutchison, Keith D., et al.. (2019). Creating Truth Data to Quantify the Accuracy of Cloud Forecasts from Numerical Weather Prediction and Climate Models. Atmosphere. 10(4). 177–177. 2 indexed citations
2.
Hutchison, Keith D., et al.. (2019). A Methodology for Verifying Cloud Forecasts with VIIRS Imagery and Derived Cloud Products—A WRF Case Study. Atmosphere. 10(9). 521–521. 3 indexed citations
3.
Hutchison, Keith D., et al.. (2017). Quantitatively assessing cloud cover fraction in numerical weather prediction and climate models. Remote Sensing Letters. 8(8). 723–732. 5 indexed citations
4.
Hutchison, Keith D., et al.. (2016). A path reflectance correction for improved cloud detection using the VIIRS 412 nm band. International Journal of Remote Sensing. 37(11). 2480–2493. 1 indexed citations
5.
Hutchison, Keith D., et al.. (2016). Assessing VIIRS cloud base height products with data collected at the Department of Energy Atmospheric Radiation Measurement sites. International Journal of Remote Sensing. 37(11). 2604–2620. 8 indexed citations
6.
Hutchison, Keith D., et al.. (2014). Comparisons between VIIRS cloud mask performance results from manually generated cloud masks of VIIRS imagery and CALIOP-VIIRS match-ups. International Journal of Remote Sensing. 35(13). 4905–4922. 15 indexed citations
7.
Hutchison, Keith D., et al.. (2013). Enhanced snow and ice identification with the VIIRS cloud mask algorithm. Remote Sensing Letters. 4(9). 929–936. 14 indexed citations
8.
Hutchison, Keith D.. (2013). Earth System Science Research Using Datra and Products from Terra, Aqua, and Acrim Satellites. NASA STI Repository (National Aeronautics and Space Administration).
9.
Hutchison, Keith D., et al.. (2010). Differentiating between Clouds and Heavy Aerosols in Sun-Glint Regions. Journal of Atmospheric and Oceanic Technology. 27(6). 1085–1094. 4 indexed citations
10.
Hutchison, Keith D., et al.. (2008). Distinguishing Aerosols from Clouds in Global, Multispectral Satellite Data with Automated Cloud Classification Algorithms. Journal of Atmospheric and Oceanic Technology. 25(4). 501–518. 24 indexed citations
12.
Hutchison, Keith D., et al.. (2007). Improving correlations between MODIS aerosol optical thickness and ground-based PM2.5 observations through 3D spatial analyses. Atmospheric Environment. 42(3). 530–543. 35 indexed citations
13.
Hutchison, Keith D., Eric T. Wong, & S. C. Ou. (2006). Cloud base heights retrieved during night‐time conditions with MODIS data. International Journal of Remote Sensing. 27(14). 2847–2862. 36 indexed citations
14.
15.
Hutchison, Keith D. & John Jackson. (2003). Cloud detection over desert regions using the 412 nanometer MODIS channel. Geophysical Research Letters. 30(23). 21 indexed citations
17.
Hutchison, Keith D., et al.. (1999). System Design Considerations for the Retrieval of Sea Surface Temperatures in the NPOESS Era. Journal of Atmospheric and Oceanic Technology. 16(1). 107–116. 2 indexed citations
18.
Hutchison, Keith D.. (1999). Application of AVHRR/3 Imagery for the Improved Detection of Thin Cirrus Clouds and Specification of Cloud-Top Phase. Journal of Atmospheric and Oceanic Technology. 16(12). 1885–1899. 7 indexed citations
19.
Hutchison, Keith D., et al.. (1997). Snow cover identification through cirrus‐cloudy atmospheres using daytime AVHRR imagery. Geophysical Research Letters. 24(14). 1791–1794. 6 indexed citations
20.
Hutchison, Keith D., et al.. (1994). Methodology to retrieve and assess the accuracy of atmospheric temperature profiles at the pixel level using satellite sounder data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2222. 157–157. 1 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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