Alexander D. Schenkman
- Atmospheric Science top 2%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Computational Mechanics top 10%
- Oceanography
- Co-authors
- Ming XueMing HuAlan ShapiroDaniel T. DawsonKeith BrewsterJidong GaoBrett RobertsCorey K. Potvin
- Topics
- Meteorological Phenomena and Simulations (16 papers)Climate variability and models (10 papers)Tropical and Extratropical Cyclones Research (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingJournal of the Atmospheric SciencesMonthly Weather Review
- Partner nations
- United StatesChinaCanada
In The Last Decade
Alexander D. Schenkman
16 papers receiving 745 citations
Peers
Comparison fields: 5 of 26
- Atmospheric Science 735
- Global and Planetary Change 549
- Environmental Engineering 219
- Computational Mechanics 77
- Oceanography 29
Countries citing papers authored by Alexander D. Schenkman
This map shows the geographic impact of Alexander D. Schenkman'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 Alexander D. Schenkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander D. Schenkman more than expected).
Fields of papers citing papers by Alexander D. Schenkman
This network shows the impact of papers produced by Alexander D. Schenkman. 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 Alexander D. Schenkman. The network helps show where Alexander D. Schenkman may publish in the future.
Co-authorship network of co-authors of Alexander D. Schenkman
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander D. Schenkman. A scholar is included among the top collaborators of Alexander D. Schenkman 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 Alexander D. Schenkman. Alexander D. Schenkman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 68 | |
| 3 | 16 | |
| 4 | 38 | |
| 5 | 34 | |
| 6 | 25 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 52 | |
| 10 | 112 | |
| 11 | 64 | |
| 12 | 173 | |
| 13 | Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data | 4 |
| 14 | 46 | |
| 15 | 81 | |
| 16 | AN OVERVIEW OF THE SUMMER 2007 EXCESSIVE RAIN EVENT IN THE SOUTHERN PLAINS | 3 |
About Alexander D. Schenkman
Alexander D. Schenkman is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 16 papers that have together received 753 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (10 papers) and Tropical and Extratropical Cyclones Research (6 papers). The work is most often cited by research in Atmospheric Science (735 citations), Global and Planetary Change (549 citations) and Environmental Engineering (219 citations). Alexander D. Schenkman has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ming Xue, Ming Hu, Alan Shapiro, Daniel T. Dawson, Keith Brewster, Jidong Gao, Brett Roberts, Corey K. Potvin, Youngsun Jung and Travis M. Smith. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, 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.