Julia N. Paegle

1.7k total citations
36 papers, 1.3k citations indexed

About

Julia N. Paegle is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Julia N. Paegle has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 16 papers in Oceanography. Recurrent topics in Julia N. Paegle's work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (22 papers) and Geophysics and Gravity Measurements (8 papers). Julia N. Paegle is often cited by papers focused on Climate variability and models (27 papers), Meteorological Phenomena and Simulations (22 papers) and Geophysics and Gravity Measurements (8 papers). Julia N. Paegle collaborates with scholars based in United States, Brazil and Argentina. Julia N. Paegle's co-authors include Kingtse C. Mo, R. Wayne Higgins, Olga C. Penalba, C. B. Emmanuel, Carolina Vera, José A. Marengo, Michael W. Douglas, Paola Salio, M. A. Silva Dias and Celeste Saulo and has published in prestigious journals such as Journal of Climate, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Julia N. Paegle

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia N. Paegle United States 12 1.2k 1.1k 269 61 44 36 1.3k
Qian Yongfu China 18 806 0.7× 742 0.7× 226 0.8× 56 0.9× 106 2.4× 62 922
Yasu‐Masa Kodama Japan 16 973 0.8× 942 0.8× 284 1.1× 52 0.9× 38 0.9× 28 1.1k
A. J. Troup Australia 7 719 0.6× 596 0.5× 295 1.1× 47 0.8× 27 0.6× 11 828
David G. H. Tan United Kingdom 6 908 0.8× 863 0.8× 277 1.0× 47 0.8× 35 0.8× 9 1.0k
J.A. Young United States 13 573 0.5× 534 0.5× 155 0.6× 67 1.1× 49 1.1× 38 773
Neil D. Gordon United States 12 968 0.8× 960 0.9× 351 1.3× 25 0.4× 29 0.7× 21 1.2k
Kazuyoshi Oouchi Japan 17 1.5k 1.3× 1.5k 1.4× 499 1.9× 63 1.0× 30 0.7× 22 1.7k
Gyu‐Ho Lim South Korea 17 1.2k 1.0× 1.2k 1.0× 377 1.4× 44 0.7× 58 1.3× 53 1.4k
William F. Stern United States 17 1.7k 1.4× 1.6k 1.4× 736 2.7× 49 0.8× 44 1.0× 24 1.8k
Winston C. Chao United States 17 746 0.6× 828 0.7× 205 0.8× 23 0.4× 33 0.8× 31 972

Countries citing papers authored by Julia N. Paegle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Vera, Carolina, Julián Baéz, Michael W. Douglas, et al.. (2006). The South American Low-Level Jet Experiment. Bulletin of the American Meteorological Society. 87(1). 63–78. 303 indexed citations
2.
Paegle, Julia N. & Kingtse C. Mo. (2002). Linkages between Summer Rainfall Variability over South America and Sea Surface Temperature Anomalies. Journal of Climate. 15(12). 1389–1407. 133 indexed citations
3.
Mo, Kingtse C. & Julia N. Paegle. (2001). The Pacific–South American modes and their downstream effects. International Journal of Climatology. 21(10). 1211–1229. 276 indexed citations
4.
Pan, Li, Julia N. Paegle, Richard Cotton, et al.. (1997). Local and remote effects of mountains on weather: Research needs and opportunities. Bulletin of the American Meteorological Society. 78(5). 877–892. 45 indexed citations
5.
Mo, Kingtse C., Julia N. Paegle, & R. Wayne Higgins. (1997). Atmospheric Processes Associated with Summer Floods and Droughts in the Central United States. Journal of Climate. 10(12). 3028–3046. 118 indexed citations
6.
Paegle, Julia N. & Tomislava Vukićević. (1987). On the predictability of low-level flow during ALPEX. Meteorology and Atmospheric Physics. 36(1-4). 45–60. 6 indexed citations
7.
Paegle, Julia N., et al.. (1986). Vertical structure of the wind field during the special observing period I of the global weather experiment. Meteorology and Atmospheric Physics. 35(3). 149–165. 1 indexed citations
8.
Paegle, Julia N., et al.. (1985). The partition of energy associated with tropical heat sources. 2 indexed citations
9.
Paegle, Jan, et al.. (1983). Large-scale motions of the tropics in observations and theory. Pure and Applied Geophysics. 121(5-6). 947–982. 8 indexed citations
10.
Paegle, Jan, Julia N. Paegle, & Gregory C. Dodd. (1983). On the Occurrence of Atmospheric States that are Non-Elliptic for the Balance Equation. Monthly Weather Review. 111(9). 1709–1723. 4 indexed citations
11.
Paegle, Jan, et al.. (1983). The Role of Barotropic Oscillations within Atmospheres of Highly Variable Refractive Index. Journal of the Atmospheric Sciences. 40(9). 2251–2265. 2 indexed citations
12.
Kalnay, Eugenia & Julia N. Paegle. (1983). Large amplitude stationary Rossby waves in the southern hemisphere - Observations and theory. NASA Technical Reports Server (NASA). 1 indexed citations
13.
Paegle, Julia N., et al.. (1982). Statistical Prediction of 500 mb Height Field Using Eigenvectors. Journal of applied meteorology. 21(2). 127–138. 5 indexed citations
14.
Paegle, Julia N. & S. K. Kao. (1977). Turbulent diffusion in the Ekman boundary layer. Atmospheric Environment (1967). 11(2). 95–100. 2 indexed citations
15.
Paegle, Julia N., et al.. (1977). The Time Behavior of the Probability Density Function of Some Simplified Atmospheric Flows. Journal of the Atmospheric Sciences. 34(7). 979–990. 3 indexed citations
16.
Paegle, Julia N. & Jan Paegle. (1976). Frequency Spectra of Atmospheric Motions in the Vicinity of a Mountain Barrier. Journal of the Atmospheric Sciences. 33(3). 499–506. 1 indexed citations
17.
Paegle, Julia N., et al.. (1975). Forecast of Precipitation Probability Based on a Pattern Recognition Algorithm. Journal of applied meteorology. 14(2). 180–188. 2 indexed citations
18.
Paegle, Julia N.. (1974). Prediction of Precipitation Probability Based on 500-Mb Flow Types. Journal of applied meteorology. 13(2). 213–220. 12 indexed citations
19.
Paegle, Julia N., et al.. (1974). Synoptic Climatology of 500-mb Winter Flow Types. Journal of applied meteorology. 13(2). 205–212. 14 indexed citations
20.
Paegle, Julia N., et al.. (1973). Objective Forecast of Precipitation over the Western Region of the United States. 3 indexed citations

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.

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