Gary Partyka

10.0k total citations · 1 hit paper
6 papers, 479 citations indexed

About

Gary Partyka is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Gary Partyka has authored 6 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in Gary Partyka's work include Climate variability and models (4 papers), Tropical and Extratropical Cyclones Research (2 papers) and Ocean Waves and Remote Sensing (2 papers). Gary Partyka is often cited by papers focused on Climate variability and models (4 papers), Tropical and Extratropical Cyclones Research (2 papers) and Ocean Waves and Remote Sensing (2 papers). Gary Partyka collaborates with scholars based in United States. Gary Partyka's co-authors include Rolf H. Reichle, Sarith Mahanama, Randal D. Koster, Qing Liu, Clara Draper, Steven Pawson, Krzysztof Wargan, N. J. Livesey, S. M. Frith and G. J. Labow and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Gary Partyka

6 papers receiving 476 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Land Surface Precipitation in MERRA-2

2016 300 citations Rolf H. Reichle, Qing Liu et al. Journal of Climate profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Partyka United States	5	380	372	70	61	44	6	479
L. Haimberger Austria	3	339 0.9×	363 1.0×	43 0.6×	30 0.5×	69 1.6×	4	462
Anna Ghelli United Kingdom	9	489 1.3×	508 1.4×	81 1.2×	82 1.3×	26 0.6×	15	602
Richard Renshaw United Kingdom	9	542 1.4×	550 1.5×	74 1.1×	37 0.6×	70 1.6×	17	640
Zhanshan Ma China	12	359 0.9×	349 0.9×	73 1.0×	24 0.4×	29 0.7×	26	451
D. Lü China	11	565 1.5×	452 1.2×	85 1.2×	61 1.0×	52 1.2×	19	675
Bhupendra Bahadur Singh India	13	322 0.8×	342 0.9×	86 1.2×	40 0.7×	24 0.5×	39	479
Farhang Ahmadi‐Givi Iran	8	272 0.7×	310 0.8×	26 0.4×	41 0.7×	48 1.1×	16	376
Soulivanh Thao France	13	267 0.7×	353 0.9×	55 0.8×	54 0.9×	83 1.9×	25	450
Stefanie Vogl Germany	9	362 1.0×	351 0.9×	72 1.0×	78 1.3×	100 2.3×	17	515
Thomas Schwitalla Germany	16	557 1.5×	544 1.5×	86 1.2×	46 0.8×	55 1.3×	39	669

Countries citing papers authored by Gary Partyka

Since Specialization

Citations

This map shows the geographic impact of Gary Partyka'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 Gary Partyka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Partyka more than expected).

Fields of papers citing papers by Gary Partyka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Partyka. 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 Gary Partyka. The network helps show where Gary Partyka may publish in the future.

Co-authorship network of co-authors of Gary Partyka

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Partyka. A scholar is included among the top collaborators of Gary Partyka 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 Gary Partyka. Gary Partyka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Coy, Lawrence, Paul A. Newman, Krzysztof Wargan, et al.. (2022). Stratospheric Circulation Changes Associated With the Hunga Tonga‐Hunga Ha'apai Eruption. Geophysical Research Letters. 49(22). 33 indexed citations

2.

Koster, Randal D., Rolf H. Reichle, Sarith Mahanama, et al.. (2020). Land-Focused Changes in the Updated GEOS FP System (Version 5.25). NASA Technical Reports Server (NASA). 4 indexed citations

3.

Wargan, Krzysztof, G. J. Labow, S. M. Frith, et al.. (2017). Evaluation of the Ozone Fields in NASA’s MERRA-2 Reanalysis. Journal of Climate. 30(8). 2961–2988. 119 indexed citations

4.

Reichle, Rolf H., Qing Liu, Randal D. Koster, et al.. (2016). Land Surface Precipitation in MERRA-2. Journal of Climate. 30(5). 1643–1664. 300 indexed citations breakdown →

5.

Reale, Oreste, et al.. (2016). Tropical Cyclones in the 7-km NASA Global Nature Run for Use in Observing System Simulation Experiments. Journal of Atmospheric and Oceanic Technology. 34(1). 73–100. 11 indexed citations

6.

Molod, Andrea, Max J. Suárez, & Gary Partyka. (2013). The impact of limiting ocean roughness on GEOS‐5 AGCM tropical cyclone forecasts. Geophysical Research Letters. 40(2). 411–416. 12 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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