Jan Paegle
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Environmental Engineering top 5%
- Oceanography top 10%
- Computational Mechanics
- Co-authors
- Julia Nogues‐PaegleKingtse C. MoWilliam D. BonnerJohn D. HorelMuyin WangWilford ZdunkowskiTomislava VukićevićRonald M. Welch
- Topics
- Meteorological Phenomena and Simulations (44 papers)Climate variability and models (40 papers)Tropical and Extratropical Cyclones Research (11 papers)
- Journals
- Journal of Geophysical Research AtmospheresJournal of ClimateJournal of the Atmospheric Sciences
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
Jan Paegle
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 56
- Atmospheric Science 1.2k
- Global and Planetary Change 1.1k
- Environmental Engineering 205
- Oceanography 137
- Computational Mechanics 61
Countries citing papers authored by Jan Paegle
This map shows the geographic impact of Jan Paegle'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 Jan Paegle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Paegle more than expected).
Fields of papers citing papers by Jan Paegle
This network shows the impact of papers produced by Jan Paegle. 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 Jan Paegle. The network helps show where Jan Paegle may publish in the future.
Co-authorship network of co-authors of Jan Paegle
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Paegle. A scholar is included among the top collaborators of Jan Paegle 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 Jan Paegle. Jan Paegle 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 | 2 | |
| 3 | DESCRIPTION OF THE SEASONAL CYCLE OF LOW-LEVEL FLOWS FLANKING THE ANDES AND THEIR INTERANNUAL VARIABILITY | 29 |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 75 | |
| 7 | 8 | |
| 8 | 106 | |
| 9 | 31 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | Studies of Diurnally Periodic Boundary Layer Winds. | 5 |
About Jan Paegle
Jan Paegle is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (44 papers), Climate variability and models (40 papers) and Tropical and Extratropical Cyclones Research (11 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Global and Planetary Change (1.1k citations) and Environmental Engineering (205 citations). Jan Paegle has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Julia Nogues‐Paegle, Kingtse C. Mo, William D. Bonner, John D. Horel, Muyin Wang, Wilford Zdunkowski, Tomislava Vukićević, Ronald M. Welch, W. E. Baker and Julia N. Paegle. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of the Atmospheric Sciences.
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.