Jordan C. Alpert
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Oceanography top 10%
- Astronomy and Astrophysics top 10%
- Environmental Engineering
- Co-authors
- R. S. StolarskiPaul A. NewmanM. R. SchoeberlA. J. KruegerRichard D. McPetersMarvin A. GellerG. RutledgeWesley Ebisuzaki
- Topics
- Meteorological Phenomena and Simulations (15 papers)Climate variability and models (14 papers)Tropical and Extratropical Cyclones Research (9 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Jordan C. Alpert
24 papers receiving 885 citations
Peers
Comparison fields: 5 of 75
- Atmospheric Science 865
- Global and Planetary Change 752
- Oceanography 144
- Astronomy and Astrophysics 105
- Environmental Engineering 55
Countries citing papers authored by Jordan C. Alpert
This map shows the geographic impact of Jordan C. Alpert'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 Jordan C. Alpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan C. Alpert more than expected).
Fields of papers citing papers by Jordan C. Alpert
This network shows the impact of papers produced by Jordan C. Alpert. 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 Jordan C. Alpert. The network helps show where Jordan C. Alpert may publish in the future.
Co-authorship network of co-authors of Jordan C. Alpert
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan C. Alpert. A scholar is included among the top collaborators of Jordan C. Alpert 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 Jordan C. Alpert. Jordan C. Alpert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Atmospheric Gravity Wave Sources Correlated with Resolved-scale GW Activity and Sub-grid Scale Parameterization in the FV3gfs Model | 1 |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 36 | |
| 6 | 26 | |
| 7 | Using “Pseudo” RAOB Observations to Study GFS Skill Score Dropouts | 4 |
| 8 | 32 | |
| 9 | 96 | |
| 10 | 7 | |
| 11 | Evaluating Transient Global and Regional Model Simulations: Bridging the Model/Observations Information Gap | 1 |
| 12 | 9 | |
| 13 | 243 | |
| 14 | 12 | |
| 15 | 30 | |
| 16 | An operational marine fog prediction model | 4 |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 82 | |
| 20 | 27 |
About Jordan C. Alpert
Jordan C. Alpert is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (15 papers), Climate variability and models (14 papers) and Tropical and Extratropical Cyclones Research (9 papers). The work is most often cited by research in Atmospheric Science (865 citations), Global and Planetary Change (752 citations) and Oceanography (144 citations). Jordan C. Alpert has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include R. S. Stolarski, Paul A. Newman, M. R. Schoeberl, A. J. Krueger, Richard D. McPeters, Marvin A. Geller, G. Rutledge, Wesley Ebisuzaki, Tsing-Chang Chen and Glenn H. White. Their work appears in journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Climate.
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.