Andrew G. Glen
- Global and Planetary Change top 10%
- Atmospheric Science top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Lawrence M. LeemisJohn H. DrewSarah D. BrooksDiane L. EvansDonald R. BarrGreg M. McFarquharJ. W. StrappRyan C. Moffet
- Topics
- Atmospheric aerosols and clouds (8 papers)Statistical Distribution Estimation and Applications (8 papers)Atmospheric chemistry and aerosols (6 papers)
- Journals
- Journal of Geophysical Research AtmospheresContemporary Sociology A Journal of ReviewsOptics Express
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Andrew G. Glen
30 papers receiving 507 citations
Peers
Comparison fields: 5 of 112
- Global and Planetary Change 172
- Atmospheric Science 164
- Statistics and Probability 95
- Artificial Intelligence 61
- Statistics, Probability and Uncertainty 50
Countries citing papers authored by Andrew G. Glen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 46 | |
| 9 | 56 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | On the period length of pseudorandom number sequences | 1 |
| 16 | 101 | |
| 17 | A probability programming language: development and applications | 3 |
| 18 | 1 | |
| 19 | 10 | |
| 20 | 5 |
About Andrew G. Glen
Andrew G. Glen is a scholar working on Statistics and Probability, Instrumentation and Global and Planetary Change, having authored 36 papers that have together received 541 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (8 papers), Statistical Distribution Estimation and Applications (8 papers) and Atmospheric chemistry and aerosols (6 papers). The work is most often cited by research in Statistics and Probability (95 citations), Atmospheric Science (164 citations) and Global and Planetary Change (172 citations). Andrew G. Glen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Lawrence M. Leemis, John H. Drew, Sarah D. Brooks, Diane L. Evans, Donald R. Barr, Greg M. McFarquhar, J. W. Strapp, Ryan C. Moffet, Mary K. Gilles and Alexander Laskin. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Contemporary Sociology A Journal of Reviews and Optics Express.
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.