Mike Dixon

17 total papers · 13.7k total citations
10 papers, 9.4k citations indexed

About

Mike Dixon is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Mike Dixon has authored 10 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 3 papers in Global and Planetary Change and 2 papers in Ecology. Recurrent topics in Mike Dixon's work include Precipitation Measurement and Analysis (6 papers), Meteorological Phenomena and Simulations (5 papers) and Icing and De-icing Technologies (2 papers). Mike Dixon is often cited by papers focused on Precipitation Measurement and Analysis (6 papers), Meteorological Phenomena and Simulations (5 papers) and Icing and De-icing Technologies (2 papers). Mike Dixon collaborates with scholars based in United States, Switzerland and Sweden. Mike Dixon's co-authors include Rebecca Moore, Simon Ilyushchenko, Noel Gorelick, M. Hancher, David Thau, Juan Bellot, Susana Bautista, Eric E. Small, Ángeles G. Mayor and Scott Ellis and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Bulletin of the American Meteorological Society.

In The Last Decade

Mike Dixon

10 papers receiving 9.1k citations

Hit Papers

Google Earth Engine: Plan... 2017 2026 2020 2023 2017 2.5k 5.0k 7.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mike Dixon 5.0k 4.3k 2.5k 2.0k 1.0k 10 9.4k
Simon Ilyushchenko 5.1k 1.0× 4.5k 1.1× 2.6k 1.0× 1.9k 0.9× 976 1.0× 6 9.5k
T. M. Lillesand 3.6k 0.7× 4.4k 1.0× 2.7k 1.1× 1.7k 0.9× 1.0k 1.0× 41 10.2k
Suming Jin 3.6k 0.7× 3.7k 0.9× 1.8k 0.7× 1.2k 0.6× 1.3k 1.2× 26 7.5k
P. K. Snyder 6.8k 1.4× 3.6k 0.8× 1.3k 0.5× 1.3k 0.6× 999 1.0× 30 11.4k
Osvaldo Canziani 4.7k 0.9× 1.9k 0.5× 811 0.3× 2.0k 1.0× 1.1k 1.1× 5 11.7k
M. Kottek 3.0k 0.6× 1.5k 0.4× 2.3k 0.9× 1.6k 0.8× 835 0.8× 7 9.5k
Anil Kommareddy 5.9k 1.2× 4.7k 1.1× 2.3k 0.9× 970 0.5× 469 0.5× 23 9.9k
Carol Barford 7.4k 1.5× 4.9k 1.1× 1.5k 0.6× 1.6k 0.8× 1.2k 1.2× 32 14.1k
E. A. Howard 5.7k 1.2× 3.4k 0.8× 1.1k 0.4× 771 0.4× 925 0.9× 4 10.0k
M. Hancher 9.5k 1.9× 7.9k 1.8× 3.8k 1.6× 2.5k 1.2× 1.2k 1.2× 13 16.9k

Countries citing papers authored by Mike Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Mike Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Dixon. A scholar is included among the top collaborators of Mike Dixon 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 Mike Dixon. Mike Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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