John E. Yorks

2.4k total citations
66 papers, 1.2k citations indexed

About

John E. Yorks is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, John E. Yorks has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Global and Planetary Change, 58 papers in Atmospheric Science and 8 papers in Earth-Surface Processes. Recurrent topics in John E. Yorks's work include Atmospheric aerosols and clouds (59 papers), Atmospheric chemistry and aerosols (49 papers) and Atmospheric and Environmental Gas Dynamics (29 papers). John E. Yorks is often cited by papers focused on Atmospheric aerosols and clouds (59 papers), Atmospheric chemistry and aerosols (49 papers) and Atmospheric and Environmental Gas Dynamics (29 papers). John E. Yorks collaborates with scholars based in United States, Netherlands and United Kingdom. John E. Yorks's co-authors include Matthew J. McGill, Patrick Selmer, Dennis L. Hlavka, William D. Hart, Brian Cairns, Bastiaan van Diedenhoven, Mark Vaughan, Sharon Rodier, E. P. Nowottnick and Anne M. Thompson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

John E. Yorks

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Yorks United States 22 1.1k 1.0k 101 74 67 66 1.2k
Doina Nicolae Romania 17 904 0.8× 848 0.8× 60 0.6× 79 1.1× 71 1.1× 59 994
Fabio Madonna Italy 17 913 0.9× 909 0.9× 50 0.5× 78 1.1× 46 0.7× 56 1.0k
Tomoaki Nishizawa Japan 22 1.2k 1.1× 1.2k 1.2× 85 0.8× 132 1.8× 217 3.2× 86 1.4k
Damien Josset United States 15 893 0.8× 824 0.8× 48 0.5× 57 0.8× 26 0.4× 38 1.0k
M. Wiegner Germany 16 1.6k 1.5× 1.5k 1.5× 141 1.4× 66 0.9× 96 1.4× 20 1.6k
Patricia L. Lucker United States 14 1.0k 1.0× 856 0.9× 37 0.4× 129 1.7× 28 0.4× 31 1.2k
William D. Hart United States 24 1.5k 1.4× 1.4k 1.4× 65 0.6× 111 1.5× 30 0.4× 55 1.6k
Olivier Jourdan France 18 945 0.9× 941 0.9× 99 1.0× 47 0.6× 57 0.9× 45 1.1k
Ioannis Binietoglou Romania 14 878 0.8× 846 0.8× 123 1.2× 66 0.9× 91 1.4× 44 936
Charles Trepte United States 8 982 0.9× 927 0.9× 55 0.5× 47 0.6× 31 0.5× 15 1.1k

Countries citing papers authored by John E. Yorks

Since Specialization
Citations

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

Fields of papers citing papers by John E. Yorks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Yorks. 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 John E. Yorks. The network helps show where John E. Yorks may publish in the future.

Co-authorship network of co-authors of John E. Yorks

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Yorks. A scholar is included among the top collaborators of John E. Yorks 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 John E. Yorks. John E. Yorks 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.
Palm, Stephen P., et al.. (2025). Evaluation of ICESat-2 ATL09 Atmospheric Products Using CALIOP and MODIS Space-Based Observations. Remote Sensing. 17(3). 482–482. 1 indexed citations
2.
Finlon, Joseph A., John E. Yorks, Patrick Selmer, et al.. (2025). Influence of Cloud Microphysical Properties on Airborne Lidar Measurements: Results From the IMPACTS Field Campaign. Journal of Geophysical Research Atmospheres. 130(23).
3.
Matus, Alexander V., E. P. Nowottnick, John E. Yorks, & Arlindo da Silva. (2025). Enhancing Surface PM2.5 Air Quality Estimates in GEOS Using CATS Lidar Data. Earth and Space Science. 12(5).
4.
Yorks, John E., et al.. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. Remote Sensing. 16(17). 3252–3252. 4 indexed citations
5.
Selmer, Patrick, et al.. (2024). A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection. Remote Sensing. 16(15). 2735–2735. 5 indexed citations
6.
McGill, Matthew J., et al.. (2024). Real-time lidar feature detection using convolution neural networks. 10–10. 1 indexed citations
7.
Carlin, Jacob T., David Schvartzman, Alexander Ryzhkov, et al.. (2023). High‐Resolution Snowstorm Measurements and Retrievals Using Cross‐Platform Multi‐Frequency and Polarimetric Radars. Geophysical Research Letters. 50(12). 1 indexed citations
8.
Yorks, John E., et al.. (2023). An Investigation of Non‐Spherical Smoke Particles Using CATS Lidar. Journal of Geophysical Research Atmospheres. 128(23). 2 indexed citations
9.
Wang, Jun, Xi Chen, Jing Zeng, et al.. (2023). First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space. Geophysical Research Letters. 50(5). 9 indexed citations
10.
Nowottnick, E. P., John E. Yorks, Matthew J. McGill, et al.. (2022). Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling. Atmosphere. 13(9). 1439–1439. 12 indexed citations
11.
Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2021). A global analysis of diurnal variability in dust and dust mixture using CATS observations. Atmospheric chemistry and physics. 21(3). 1427–1447. 19 indexed citations
12.
Yorks, John E., et al.. (2021). Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data. Atmosphere. 12(5). 606–606. 29 indexed citations
13.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations. Atmospheric chemistry and physics. 20(21). 12955–12982. 36 indexed citations
14.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere compared to observations. 2 indexed citations
15.
McGill, Matthew J., Robert Swap, John E. Yorks, Patrick Selmer, & Stuart Piketh. (2020). Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar. South African Journal of Science. 116(3/4). 7 indexed citations
16.
Campbell, James R., Simone Lolli, John E. Yorks, et al.. (2020). Sensitivities in Satellite Lidar‐Derived Estimates of Daytime Top‐of‐the‐Atmosphere Optically Thin Cirrus Cloud Radiative Forcing: A Case Study. Geophysical Research Letters. 47(17). 5 indexed citations
17.
Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2019). A Global Analysis of Dust Diurnal Variability Using CATS Observations. 2 indexed citations
18.
Yorks, John E., et al.. (2017). Cloud and Aerosol 1064nm Lidar Ratio Retrievals from the CATS Instrument. AGUFM. 2017. 1 indexed citations
19.
Yorks, John E., Matthew J. McGill, & E. P. Nowottnick. (2015). Near Real Time Vertical Profiles of Clouds and Aerosols from the Cloud-Aerosol Transport System (CATS) on the International Space Station. 2015 AGU Fall Meeting. 2015. 1 indexed citations
20.
Yorks, John E., et al.. (2009). Radiative Effects of African Dust and Smoke Observed from CERES and CALIOP Data. AGU Spring Meeting Abstracts. 2009. 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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