John Leys

68 papers receiving 3.1k citations

Peers

John Leys
Comparison fields: 5 of 100
  • Earth-Surface Processes 1.9k
  • Soil Science 941
  • Atmospheric Science 1.5k
  • Global and Planetary Change 1.6k
  • Environmental Engineering 324
Replace Cheryl McKenna Neuman with:
Cheryl McKenna Neuman Canada
Jason P. Field United States
Matthew Baddock United Kingdom
Jiaqiang Lei China
D. W. Fryrear United States
W. G. Nickling Canada
Frank D. Eckardt South Africa
José Carlos González Hidalgo Spain
Lianyou Liu China
John Leys relative to Cheryl McKenna Neuman Canada Cheryl McKenna Neuman's profile →
Citations per field
00.5×3.1×
Cheryl McKenna Neuman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John Leys, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Leys Line = papers co-authored together John Leys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993393
2 2011200
3 2003180
4 2014154
5 2008145
6 2005129
7 2001124
8 2018109
9 2008106
10 199891
11 201390
12 201187
13 201971
14 201769
15 201365
16 201463
17
Dust emissions from the Channel Country of western Queensland, Australia
199956
18 201356
19 200754
20 199650

About John Leys

John Leys is a scholar working on Earth-Surface Processes, Soil Science, Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 72 papers that have together received 3.2k indexed citations. Recurring topics across this work include Aeolian processes and effects (53 papers), Soil erosion and sediment transport (28 papers), Atmospheric aerosols and clouds (28 papers), Atmospheric chemistry and aerosols (27 papers), Biocrusts and Microbial Ecology (7 papers), Hydrology and Sediment Transport Processes (5 papers), Geology and Paleoclimatology Research (4 papers) and Particle Dynamics in Fluid Flows (3 papers). The work is most often cited by research in Earth-Surface Processes (1.9k citations), Soil Science (941 citations), Atmospheric Science (1.5k citations), Global and Planetary Change (1.6k citations) and Environmental Engineering (324 citations). John Leys has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Grant H. McTainsh, Michael Raupach, David J. Eldridge, Dale A. Gillette, Yaping Shao, Craig Strong, Masahide Ishizuka, Masato Mikami, Stephan Heidenreich and Nicholas P. Webb. Their work appears in journals such as Earth Surface Processes and Landforms, Aeolian Research, Journal of Geophysical Research Atmospheres, Atmosphere and Atmospheric Environment.

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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