Montgomery L. Flora
- Atmospheric Science top 5%
- Global and Planetary Change top 10%
- Environmental Engineering
- Artificial Intelligence
- Astronomy and Astrophysics
- Co-authors
- Corey K. PotvinAmy McGovernPatrick S. SkinnerKent H. KnopfmeierAdam J. ClarkAnthony E. ReinhartLouis J. WickerDustan M. Wheatley
- Topics
- Meteorological Phenomena and Simulations (21 papers)Climate variability and models (13 papers)Tropical and Extratropical Cyclones Research (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Montgomery L. Flora
23 papers receiving 332 citations
Peers
Comparison fields: 5 of 37
- Atmospheric Science 290
- Global and Planetary Change 258
- Environmental Engineering 68
- Artificial Intelligence 14
- Astronomy and Astrophysics 9
Countries citing papers authored by Montgomery L. Flora
This map shows the geographic impact of Montgomery L. Flora'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 Montgomery L. Flora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Montgomery L. Flora more than expected).
Fields of papers citing papers by Montgomery L. Flora
This network shows the impact of papers produced by Montgomery L. Flora. 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 Montgomery L. Flora. The network helps show where Montgomery L. Flora may publish in the future.
Co-authorship network of co-authors of Montgomery L. Flora
This figure shows the co-authorship network connecting the top 25 collaborators of Montgomery L. Flora. A scholar is included among the top collaborators of Montgomery L. Flora 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 Montgomery L. Flora. Montgomery L. Flora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 45 | |
| 15 | 14 | |
| 16 | Using Machine Learning to Improve Storm-Scale 1-h Probabilistic Forecasts of Severe Weather | 1 |
| 17 | 27 | |
| 18 | 34 | |
| 19 | 28 | |
| 20 | 61 |
About Montgomery L. Flora
Montgomery L. Flora is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 24 papers that have together received 334 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (13 papers) and Tropical and Extratropical Cyclones Research (5 papers). The work is most often cited by research in Atmospheric Science (290 citations), Global and Planetary Change (258 citations) and Environmental Engineering (68 citations). Montgomery L. Flora has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Corey K. Potvin, Amy McGovern, Patrick S. Skinner, Kent H. Knopfmeier, Adam J. Clark, Anthony E. Reinhart, Louis J. Wicker, Dustan M. Wheatley, Thomas A. Jones and Nusrat Yussouf. Their work appears in journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.
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.