Richard E. Passarelli

870 total citations
25 papers, 666 citations indexed

About

Richard E. Passarelli is a scholar working on Atmospheric Science, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, Richard E. Passarelli has authored 25 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 8 papers in Aerospace Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Richard E. Passarelli's work include Meteorological Phenomena and Simulations (7 papers), Precipitation Measurement and Analysis (5 papers) and Atmospheric aerosols and clouds (5 papers). Richard E. Passarelli is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Precipitation Measurement and Analysis (5 papers) and Atmospheric aerosols and clouds (5 papers). Richard E. Passarelli collaborates with scholars based in United States and Finland. Richard E. Passarelli's co-authors include K. Lo, Roscoe R. Braham, R. C. Srivastava, Kerry Emanuel, B. Vonnegut, R. Jeffrey Keeler, Henry Chessin, Marc Seltzer, Spiros G. Geotis and R. C. Srivastava and has published in prestigious journals such as Science, Inorganic Chemistry and Journal of the Atmospheric Sciences.

In The Last Decade

Richard E. Passarelli

25 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard E. Passarelli United States 14 572 361 134 101 32 25 666
Bruce W. Bartram United States 10 493 0.9× 421 1.2× 140 1.0× 102 1.0× 47 1.5× 11 629
H. K. Weickmann United States 13 443 0.8× 368 1.0× 46 0.3× 80 0.8× 39 1.2× 33 589
L. Randall Koenig United States 12 476 0.8× 442 1.2× 57 0.4× 84 0.8× 96 3.0× 35 606
G.J. Kunz Netherlands 14 543 0.9× 498 1.4× 76 0.6× 88 0.9× 37 1.2× 49 732
V. N. Bringi United States 10 972 1.7× 522 1.4× 466 3.5× 85 0.8× 19 0.6× 33 1.1k
J. L. Brownscombe United Kingdom 12 360 0.6× 289 0.8× 42 0.3× 92 0.9× 41 1.3× 18 466
Donald P. Garber United States 8 1.0k 1.8× 1.1k 3.1× 47 0.4× 162 1.6× 37 1.2× 18 1.3k
Jacopo Grazioli Switzerland 14 544 1.0× 325 0.9× 119 0.9× 34 0.3× 14 0.4× 33 649
Jim Howell United States 8 325 0.6× 273 0.8× 242 1.8× 16 0.2× 46 1.4× 15 517
Morris Neiburger United States 11 149 0.3× 125 0.3× 48 0.4× 32 0.3× 44 1.4× 32 327

Countries citing papers authored by Richard E. Passarelli

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Passarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard E. Passarelli. 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 Richard E. Passarelli. The network helps show where Richard E. Passarelli may publish in the future.

Co-authorship network of co-authors of Richard E. Passarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Richard E. Passarelli. A scholar is included among the top collaborators of Richard E. Passarelli 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 Richard E. Passarelli. Richard E. Passarelli 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.
Passarelli, Richard E., et al.. (2002). A PC based digital transmitter/digital receiver/digital signal processing system. 345–347. 1 indexed citations
2.
Keeler, R. Jeffrey & Richard E. Passarelli. (1989). Signal Processing for Atmospheric Radars. Open MIND. 199–229. 35 indexed citations
3.
Passarelli, Richard E., Robert Serafin, & R. G. Strauch. (1984). Effects of Aliasing on Spectral Moment Estimates Derived from the Complete Autocorrelation Function. Journal of Climate and Applied Meteorology. 23(5). 848–849. 1 indexed citations
4.
Passarelli, Richard E., et al.. (1983). The Autocorrelation Function and Doppler Spectral Moments: Geometric and Asymptotic Interpretations. Journal of Climate and Applied Meteorology. 22(10). 1776–1787. 17 indexed citations
5.
Passarelli, Richard E., et al.. (1983). The Orographic Modulation of Pre-Warm-Front Precipitation in Southern New England. Monthly Weather Review. 111(5). 1062–1070. 19 indexed citations
6.
Passarelli, Richard E.. (1983). Parametric Estimation of Doppler Spectral Moments: An Alternative Ground Clutter Rejection Technique. Journal of Climate and Applied Meteorology. 22(5). 850–857. 6 indexed citations
7.
Lo, K. & Richard E. Passarelli. (1982). The Growth of Snow in Winter Storms:. An Airborne Observational Study. Journal of the Atmospheric Sciences. 39(4). 697–706. 99 indexed citations
8.
Passarelli, Richard E., et al.. (1981). Ground clutter rejection in the frequency domain.. 295–300. 25 indexed citations
9.
Passarelli, Richard E. & Roscoe R. Braham. (1981). The Role of the Winter Land Breeze in the Formation of Great Lake Snow Storms. Bulletin of the American Meteorological Society. 62(4). 482–492. 84 indexed citations
10.
Srivastava, R. C. & Richard E. Passarelli. (1980). Analytical Solutions to Simple Models of Condensation and Coalescence. Journal of the Atmospheric Sciences. 37(3). 612–621. 8 indexed citations
11.
Passarelli, Richard E. & R. C. Srivastava. (1980). A New Aspect of the Vertical Incidence Doppler Radar Spectrum of Ice Particle Fallspeeds. Journal of applied meteorology. 19(11). 1318–1322. 5 indexed citations
12.
Passarelli, Richard E.. (1980). Comments on “Size Distributions of Precipitation Particles in Frontal Clouds”. Journal of the Atmospheric Sciences. 37(3). 698–699. 2 indexed citations
13.
Passarelli, Richard E. & R. C. Srivastava. (1979). A New Aspect of Snowflake Aggregation Theory. Journal of the Atmospheric Sciences. 36(3). 484–493. 45 indexed citations
14.
Passarelli, Richard E.. (1978). Theoretical and Observational Study of Snow-Size Spectra and Snowflake Aggregation Efficiencies. Journal of the Atmospheric Sciences. 35(5). 882–889. 56 indexed citations
15.
Vonnegut, B. & Richard E. Passarelli. (1978). Modified Cine Sound Camera for Photographing Thunderstorms and Recording Lightning. Journal of applied meteorology. 17(7). 1079–1081. 5 indexed citations
16.
Chessin, Henry, Richard E. Passarelli, & B. Vonnegut. (1975). Investigation of the pseudobinary solid solutions of silver iodide-copper iodide by x-ray diffraction. Inorganic Chemistry. 14(10). 2551–2552. 13 indexed citations
17.
Passarelli, Richard E., Henry Chessin, & B. Vonnegut. (1974). Ice Nucleation by Miersite. Journal of applied meteorology. 13(5). 610–612. 1 indexed citations
18.
Passarelli, Richard E., Henry Chessin, & B. Vonnegut. (1974). Ice Nucleation in a Supercooled Cloud by CuI-3AgI and AgI Aerosols. Journal of applied meteorology. 13(8). 946–948. 8 indexed citations
19.
Passarelli, Richard E., Henry Chessin, & B. Vonnegut. (1973). A Technique for Measuring Relative Threshold Nucleation Temperatures for Active Nucleation Catalysts. Journal of applied meteorology. 12(2). 416–418. 3 indexed citations
20.
Passarelli, Richard E., Henry Chessin, & B. Vonnegut. (1973). Ice Nucleation by Solid Solutions of Silver-Copper Iodide. Science. 181(4099). 549–551. 23 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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