Andrew G. Glen

93 total papers · 1.2k total citations
35 papers, 539 citations indexed

About

Andrew G. Glen is a scholar working on Global and Planetary Change, Statistics and Probability and Atmospheric Science. According to data from OpenAlex, Andrew G. Glen has authored 35 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 11 papers in Statistics and Probability and 6 papers in Atmospheric Science. Recurrent topics in Andrew G. Glen's work include Atmospheric aerosols and clouds (8 papers), Statistical Distribution Estimation and Applications (8 papers) and Atmospheric chemistry and aerosols (6 papers). Andrew G. Glen is often cited by papers focused on Atmospheric aerosols and clouds (8 papers), Statistical Distribution Estimation and Applications (8 papers) and Atmospheric chemistry and aerosols (6 papers). Andrew G. Glen collaborates with scholars based in United States, Canada and Germany. Andrew G. Glen's co-authors include Lawrence M. Leemis, John H. Drew, Sarah D. Brooks, Diane L. Evans, Donald R. Barr, Greg M. McFarquhar, J. W. Strapp, Mary K. Gilles, Ryan C. Moffet and A. M. Macdonald and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Contemporary Sociology A Journal of Reviews and Optics Express.

In The Last Decade

Andrew G. Glen

30 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Andrew G. Glen 170 163 95 61 50 35 539
I. G. O’Muircheartaigh 67 0.4× 127 0.8× 170 1.8× 77 1.3× 46 0.9× 15 577
Guoqi Qian 49 0.3× 62 0.4× 136 1.4× 120 2.0× 15 0.3× 68 536
Hanlin Yin 226 1.3× 127 0.8× 18 0.2× 81 1.3× 10 0.2× 25 589
Arne Bang Huseby 59 0.3× 61 0.4× 49 0.5× 20 0.3× 201 4.0× 45 544
Kunio Shimizu 119 0.7× 92 0.6× 182 1.9× 166 2.7× 29 0.6× 62 603
François Bachoc 43 0.3× 45 0.3× 110 1.2× 211 3.5× 146 2.9× 55 600
Amit Choudhury 140 0.8× 87 0.5× 81 0.9× 26 0.4× 52 1.0× 31 460
Mirkamal Mirnia 135 0.8× 45 0.3× 26 0.3× 78 1.3× 15 0.3× 35 501
Prem P. Talwar 68 0.4× 33 0.2× 92 1.0× 48 0.8× 38 0.8× 26 560
P. de Zea Bermudez 209 1.2× 48 0.3× 116 1.2× 37 0.6× 64 1.3× 21 455

Countries citing papers authored by Andrew G. Glen

Since Specialization
Citations

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

Fields of papers citing papers by Andrew G. Glen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew G. Glen. 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 Andrew G. Glen. The network helps show where Andrew G. Glen may publish in the future.

Co-authorship network of co-authors of Andrew G. Glen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew G. Glen. A scholar is included among the top collaborators of Andrew G. Glen 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 Andrew G. Glen. Andrew G. Glen 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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