David P. Yorty

1.1k total citations · 1 hit paper
17 papers, 831 citations indexed

About

David P. Yorty is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, David P. Yorty has authored 17 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 5 papers in Water Science and Technology. Recurrent topics in David P. Yorty's work include Cryospheric studies and observations (9 papers), Climate change and permafrost (5 papers) and Hydrology and Watershed Management Studies (5 papers). David P. Yorty is often cited by papers focused on Cryospheric studies and observations (9 papers), Climate change and permafrost (5 papers) and Hydrology and Watershed Management Studies (5 papers). David P. Yorty collaborates with scholars based in United States. David P. Yorty's co-authors include Stephen W. Nesbitt, Daniel J. Cecil, Chuntao Liu, E. J. Zipser and W. Neal Simmons and has published in prestigious journals such as Bulletin of the American Meteorological Society and The Journal of Weather Modification.

In The Last Decade

David P. Yorty

15 papers receiving 808 citations

Hit Papers

align trajectories sort by overperformance

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.

WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH?

2006 781 citations E. J. Zipser, Daniel J. Cecil et al. Bulletin of the American Meteorological Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David P. Yorty United States	5	720	703	140	41	37	17	831
E. J. Zipser United States	2	866 1.2×	827 1.2×	163 1.2×	52 1.3×	54 1.5×	4	974
John R. Scala United States	15	1.1k 1.6×	1.1k 1.5×	85 0.6×	38 0.9×	44 1.2×	21	1.2k
D. Lambert France	17	478 0.7×	497 0.7×	86 0.6×	89 2.2×	88 2.4×	37	607
Aarnout van Delden Netherlands	11	574 0.8×	555 0.8×	78 0.6×	69 1.7×	55 1.5×	26	659
Stephane Sénési France	10	458 0.6×	480 0.7×	34 0.2×	63 1.5×	71 1.9×	17	574
D. P. McNamara United States	14	1.3k 1.9×	1.1k 1.6×	38 0.3×	49 1.2×	28 0.8×	21	1.4k
Stephen F. Corfidi United States	13	753 1.0×	677 1.0×	29 0.2×	103 2.5×	32 0.9×	23	822
Kathleen A. Schiro United States	15	473 0.7×	494 0.7×	36 0.3×	32 0.8×	70 1.9×	24	574
Thomas Schwitalla Germany	16	557 0.8×	544 0.8×	29 0.2×	86 2.1×	55 1.5×	39	669
Youtong Zheng United States	17	858 1.2×	935 1.3×	42 0.3×	104 2.5×	27 0.7×	39	1.0k

Countries citing papers authored by David P. Yorty

Since Specialization

Citations

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

Fields of papers citing papers by David P. Yorty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Yorty. 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 David P. Yorty. The network helps show where David P. Yorty may publish in the future.

Co-authorship network of co-authors of David P. Yorty

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

All Works

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17 of 17 papers shown

Yorty, David P., et al.. (2022). Update On A Long-term Winter Operational Cloud Seeding Program In Central/Southern Utah. The Journal of Weather Modification. 54(1).

Yorty, David P., et al.. (2020). Feasibility/Design Study for a Cloud Seeding Program in the Yadkin River Basin, North Carolina. The Journal of Weather Modification. 51(1). 1 indexed citations

Yorty, David P.. (2019). Indications of Downwind Cloud Seeding Effects in Utah. The Journal of Weather Modification. 51(1). 1 indexed citations

Yorty, David P., et al.. (2016). Analysis of Ice Detector Observations at Mount Crested Butte, Colorado during the 2014-2015 Winter Season. The Journal of Weather Modification. 48(1). 8–23.

Yorty, David P., et al.. (2014). A Brief History of Evaluations Performed on the Operational Kings River Winter Orographic Cloud Seeding Program. The Journal of Weather Modification. 46(1). 29–36. 2 indexed citations

Yorty, David P., et al.. (2013). Winter "Cloud Seeding Windows" and Potential Influences of Targeted Mountain Barriers. The Journal of Weather Modification. 45(1). 44–58. 3 indexed citations

Yorty, David P., et al.. (2012). Low-level Atmospheric Stability During Icing Periods in Utah, and Implications for Winter Ground-based Cloud Seeding. The Journal of Weather Modification. 44(1). 48–68. 3 indexed citations

Yorty, David P., et al.. (2012). Summary of a Weather Modification Feasibility Design Study for Winter Snowpack Augmentation in the Upper Boise River Basin Idaho. The Journal of Weather Modification. 44(1). 1 indexed citations

Yorty, David P., et al.. (2011). A Winter Operational Cloud Seeding Program: Upper Gunnison River Basin, Colorado. The Journal of Weather Modification. 43(1). 29–43. 1 indexed citations

10.

Yorty, David P., et al.. (2010). Reply to Silverman Comments on WMA Journal Paper entitled “30+ Winter Seasons of Operational Cloud Seeding in Utah”, Griffith et al. 2009. The Journal of Weather Modification. 42(1). 137–147. 1 indexed citations

11.

Yorty, David P., et al.. (2010). Summary of a Weather Modification Feasibility Study for Winter Snowpack Augmentation in the Eastern Snake River Basin, Idaho. The Journal of Weather Modification. 42(1). 115–123. 3 indexed citations

12.

Yorty, David P., et al.. (2009). 30+ Winter Seasons Of Operational Cloud Seeding In Utah. The Journal of Weather Modification. 41(1). 23–37. 10 indexed citations

13.

Yorty, David P., et al.. (2007). A Level II Weather Modification Feasibility Study for Winter Snowpack Augmentation in the Salt River and Wyoming Ranges in Wyoming. The Journal of Weather Modification. 39(1). 76–83. 9 indexed citations

14.

Zipser, E. J., Daniel J. Cecil, Chuntao Liu, Stephen W. Nesbitt, & David P. Yorty. (2006). WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH?. Bulletin of the American Meteorological Society. 87(8). 1057–1072. 781 indexed citations breakdown →

15.

Yorty, David P., et al.. (2005). Observations of Rime Icing in the Wasatch Mountains of Utah: Implications for Winter Season Cloud Seeding. The Journal of Weather Modification. 37(1). 28–34. 2 indexed citations

16.

Yorty, David P., et al.. (2005). Is Air Pollution Impacting Winter Orographic Precipitation in Utah?. The Journal of Weather Modification. 37(1). 14–20. 6 indexed citations

17.

Yorty, David P., et al.. (2003). Estimations of Downwind Cloud Seeding Effects in Utah. The Journal of Weather Modification. 35(1). 52–58. 7 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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