John Leys

4.4k total citations
72 papers, 3.2k citations indexed

About

John Leys is a scholar working on Earth-Surface Processes, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, John Leys has authored 72 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Earth-Surface Processes, 36 papers in Global and Planetary Change and 32 papers in Atmospheric Science. Recurrent topics in John Leys's work include Aeolian processes and effects (53 papers), Soil erosion and sediment transport (28 papers) and Atmospheric aerosols and clouds (28 papers). John Leys is often cited by papers focused on Aeolian processes and effects (53 papers), Soil erosion and sediment transport (28 papers) and Atmospheric aerosols and clouds (28 papers). John Leys collaborates with scholars based in Australia, United Kingdom and Germany. John Leys's co-authors include Grant H. McTainsh, Michael Raupach, David J. Eldridge, Dale A. Gillette, Craig Strong, Yaping Shao, Masahide Ishizuka, Masato Mikami, Stephan Heidenreich and Nicholas P. Webb and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

John Leys

68 papers receiving 3.1k 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 Leys Australia 31 1.9k 1.6k 1.5k 941 375 72 3.2k
Jason P. Field United States 20 717 0.4× 761 0.5× 696 0.4× 429 0.5× 289 0.8× 38 2.2k
Jiaqiang Lei China 28 722 0.4× 1.2k 0.8× 709 0.5× 777 0.8× 659 1.8× 184 2.7k
Cheryl McKenna Neuman Canada 33 2.3k 1.2× 497 0.3× 1.3k 0.8× 1.3k 1.4× 520 1.4× 73 3.0k
Matthew Baddock United Kingdom 25 1.4k 0.7× 1.1k 0.7× 1.3k 0.9× 470 0.5× 224 0.6× 53 2.1k
D. W. Fryrear United States 30 2.2k 1.1× 675 0.4× 919 0.6× 1.7k 1.9× 368 1.0× 72 2.9k
Frank D. Eckardt South Africa 26 709 0.4× 600 0.4× 845 0.5× 319 0.3× 417 1.1× 72 1.9k
W. G. Nickling Canada 43 3.9k 2.0× 1.1k 0.7× 2.2k 1.4× 2.3k 2.5× 883 2.4× 81 4.6k
Lianyou Liu China 28 677 0.4× 791 0.5× 737 0.5× 642 0.7× 270 0.7× 102 2.0k
José Carlos González Hidalgo Spain 36 393 0.2× 2.8k 1.8× 1.2k 0.8× 1.2k 1.2× 973 2.6× 107 4.3k

Countries citing papers authored by John Leys

Since Specialization
Citations

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

Fields of papers citing papers by John Leys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Leys

This figure shows the co-authorship network connecting the top 25 collaborators of John Leys. A scholar is included among the top collaborators of John Leys 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 Leys. John Leys 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.
Duc, Hiep Nguyen, John Leys, Matthew Riley, et al.. (2024). Effects of Dust Storm and Wildfire Events on Phytoplankton Growth and Carbon Sequestration in the Tasman Sea, Southeast Australia. Atmosphere. 15(3). 337–337. 2 indexed citations
2.
Chappell, Adrian, Nicholas P. Webb, Charles S. Zender, et al.. (2023). Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling. Journal of Geophysical Research Atmospheres. 128(17). 10 indexed citations
3.
Chappell, Adrian, Nicholas P. Webb, Kerstin Schepanski, et al.. (2023). Satellites reveal Earth's seasonally shifting dust emission sources. The Science of The Total Environment. 883. 163452–163452. 24 indexed citations
4.
Leys, John, Stephan Heidenreich, Stephen White, Juan Pablo Guerschman, & Craig Strong. (2023). Dust-storm frequencies, community attitudes, government policy and land management practices during three major droughts in New South Wales, Australia. The Rangeland Journal. 44(6). 343–355. 4 indexed citations
5.
Yang, Xihua, John Leys, Mingxi Zhang, & Jonathan Gray. (2023). Estimating nutrient transport associated with water and wind erosion across New South Wales, Australia. Geoderma. 430. 116345–116345. 9 indexed citations
6.
Duc, Hiep Nguyen, Matthew Riley, John Leys, et al.. (2021). Dust Transport from Inland Australia and Its Impact on Air Quality and Health on the Eastern Coast of Australia during the February 2019 Dust Storm. Atmosphere. 12(2). 141–141. 11 indexed citations
7.
Chappell, Adrian, Nicholas P. Webb, Charles S. Zender, et al.. (2021). Weaknesses in dust emission modelling hidden by tuning to dust in the atmosphere. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
Shao, Yaping, Jie Zhang, Masahide Ishizuka, et al.. (2020). Dependency of particle size distribution at dust emission on friction velocity and atmospheric boundary-layer stability. Atmospheric chemistry and physics. 20(21). 12939–12953. 37 indexed citations
9.
Goggin, C. Louise, Thomas Barrett, John Leys, et al.. (2019). Incorporating social dimensions in planning, managing and evaluating environmental projects. Environmental Management. 63(2). 215–232. 9 indexed citations
10.
11.
She, Lu, Yong Xue, Xihua Yang, et al.. (2018). Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data. IEEE Transactions on Geoscience and Remote Sensing. 57(3). 1489–1501. 42 indexed citations
12.
Goggin, C. Louise, et al.. (2017). Connecting with Country in Mungo National Park, Australia: a case study to measure the emotional dimension of experience and place attachment. Local Environment. 22(10). 1217–1236. 11 indexed citations
13.
Chappell, Adrian, Nicholas P. Webb, Juan Pablo Guerschman, et al.. (2017). Improving ground cover monitoring for wind erosion assessment using MODIS BRDF parameters. Remote Sensing of Environment. 204. 756–768. 69 indexed citations
14.
15.
Kok, Jasper F., N. M. Mahowald, Gerardo Fratini, et al.. (2014). An improved dust emission model – Part 1: Model description and comparison against measurements. Atmospheric chemistry and physics. 14(23). 13023–13041. 154 indexed citations
16.
Kok, Jasper F., N. M. Mahowald, Samuel Albani, et al.. (2014). An improved dust emission model with insights into the global dust cycle's climate sensitivity. 11 indexed citations
17.
Klose, Martina, Yaping Shao, Xiaolan Li, et al.. (2014). Further development of a parameterization for convective turbulent dust emission and evaluation based on field observations. Journal of Geophysical Research Atmospheres. 119(17). 10441–10457. 49 indexed citations
18.
Leys, John. (2011). PM10 concentrations and mass transport during. Aeolian Research. 17 indexed citations
19.
McTainsh, Grant H., et al.. (2005). The 23rd October 2002 dust storm in eastern Australia: characteristics and meteorological conditions. Atmospheric Environment. 39(7). 1227–1236. 129 indexed citations
20.
Nickling, W. G., Grant H. McTainsh, & John Leys. (1999). Dust emissions from the Channel Country of western Queensland, Australia. 1–17. 56 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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