Julia N. Paegle
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Oceanography top 5%
- Water Science and Technology
- Environmental Engineering
- Co-authors
- Kingtse C. MoR. Wayne HigginsC. B. EmmanuelEugenia KalnayCeleste SauloJosé MeitínPaola SalioM. Nicolíni
- Topics
- Climate variability and models (27 papers)Meteorological Phenomena and Simulations (22 papers)Geophysics and Gravity Measurements (8 papers)
- Partner nations
- United StatesBrazilArgentina
In The Last Decade
Julia N. Paegle
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 53
- Global and Planetary Change 1.2k
- Atmospheric Science 1.1k
- Oceanography 269
- Water Science and Technology 61
- Environmental Engineering 44
Countries citing papers authored by Julia N. Paegle
This map shows the geographic impact of Julia N. 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 Julia N. Paegle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia N. Paegle more than expected).
Fields of papers citing papers by Julia N. Paegle
This network shows the impact of papers produced by Julia N. 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 Julia N. Paegle. The network helps show where Julia N. Paegle may publish in the future.
Co-authorship network of co-authors of Julia N. Paegle
This figure shows the co-authorship network connecting the top 25 collaborators of Julia N. Paegle. A scholar is included among the top collaborators of Julia N. 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 Julia N. Paegle. Julia N. 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 | 303 | |
| 2 | 133 | |
| 3 | 170 | |
| 4 | Local and remote effects of mountains on weather: Research needs and opportunities | 45 |
| 5 | 118 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | The partition of energy associated with tropical heat sources | 2 |
| 9 | 4 | |
| 10 | 8 | |
| 11 | Large amplitude stationary Rossby waves in the southern hemisphere - Observations and theory | 1 |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | Objective Forecast of Precipitation over the Western Region of the United States | 3 |
| 20 | Numerical calculation of three-dimensional trajectories utilizing the balanced horizontal and vertical motions | 2 |
About Julia N. Paegle
Julia N. Paegle is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (22 papers) and Geophysics and Gravity Measurements (8 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Global and Planetary Change (1.2k citations) and Oceanography (269 citations). Julia N. Paegle has collaborated with scholars based in United States, Brazil and Argentina. Frequent co-authors include Kingtse C. Mo, R. Wayne Higgins, C. B. Emmanuel, Eugenia Kalnay, Celeste Saulo, José Meitín, Paola Salio, M. Nicolíni, Olga C. Penalba and Edward J. Zipser. Their work appears in journals such as Journal of Climate, 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.