Joseph C. Picca

424 total citations
11 papers, 313 citations indexed

About

Joseph C. Picca is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Joseph C. Picca has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Joseph C. Picca's work include Meteorological Phenomena and Simulations (11 papers), Precipitation Measurement and Analysis (4 papers) and Climate variability and models (4 papers). Joseph C. Picca is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Precipitation Measurement and Analysis (4 papers) and Climate variability and models (4 papers). Joseph C. Picca collaborates with scholars based in United States, United Kingdom and Israel. Joseph C. Picca's co-authors include Alexander Ryzhkov, Alexander V. Ryzhkov, А. Хаин, Jeffrey C. Snyder, Matthew R. Kumjian, Darrel M. Kingfield, Heather D. Reeves, Terry J. Schuur, Andrew R. Dean and Ariel Cohen and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Weather and Forecasting.

In The Last Decade

Joseph C. Picca

11 papers receiving 307 citations

Peers

Joseph C. Picca

AS

GPC

EE

AA

OCEAN

Wei‐Yu Chang Taiwan

J. P. Pinty France

Wataru Mashiko Japan

Brian D. Jamison United States

Jake P. Mulholland United States

Steven V. Vasiloff United States

Helen Wells United Kingdom

Aleksandra Tatarevic Canada

Kirk North Canada

P. Alex Reinecke United States

Wei‐Yu Chang Taiwan

Joseph C. Picca

335 ×1.1

AS

179 ×0.8

GPC

73 ×1.5

EE

28 ×1.0

AA

22 ×1.5

OCEAN

Citations per year, relative to Joseph C. Picca Joseph C. Picca (= 1×) peers Wei‐Yu Chang

Countries citing papers authored by Joseph C. Picca

Since Specialization

Citations

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

Fields of papers citing papers by Joseph C. Picca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph C. Picca. 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 Joseph C. Picca. The network helps show where Joseph C. Picca may publish in the future.

Co-authorship network of co-authors of Joseph C. Picca

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

All Works

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11 of 11 papers shown

1.

Kingfield, Darrel M. & Joseph C. Picca. (2018). Development of an Operational Convective Nowcasting Algorithm Using Raindrop Size Sorting Information from Polarimetric Radar Data. Weather and Forecasting. 33(5). 1477–1495. 11 indexed citations

2.

Picca, Joseph C.. (2017). Utilizing a Polarimetric Size Sorting Signature to Develop a Convective Nowcasting Algorithm. 1 indexed citations

3.

Thompson, Richard L., Bryan T. Smith, Andrew R. Dean, et al.. (2017). Tornado Damage Rating Probabilities Derived from WSR-88D Data. Weather and Forecasting. 32(4). 1509–1528. 37 indexed citations

4.

Picca, Joseph C.. (2015). An Observational Analysis of ZDR Column Trends in Tornadic Supercells. 4 indexed citations

5.

Jiang, Hongli, Yuanfu Xie, Zoltán Tóth, et al.. (2015). Real-Time Applications of the Variational Version of the Local Analysis and Prediction System (vLAPS). Bulletin of the American Meteorological Society. 96(12). 2045–2057. 15 indexed citations

6.

Snyder, Jeffrey C., Alexander V. Ryzhkov, Matthew R. Kumjian, А. Хаин, & Joseph C. Picca. (2015). A ZDR Column Detection Algorithm to Examine Convective Storm Updrafts. Weather and Forecasting. 30(6). 1819–1844. 92 indexed citations

7.

Schuur, Terry J., et al.. (2014). A Polarimetric and Microphysical Investigation of the Northeast Blizzard of 8–9 February 2013. Weather and Forecasting. 29(6). 1271–1294. 24 indexed citations

8.

Picca, Joseph C., et al.. (2014). The Value of Dual-Polarization Radar in Diagnosing the Complex Microphysical Evolution of an Intense Snowband. Bulletin of the American Meteorological Society. 95(12). 1825–1834. 26 indexed citations

9.

Picca, Joseph C. & Alexander Ryzhkov. (2011). A Dual-Wavelength Polarimetric Analysis of the 16 May 2010 Oklahoma City Extreme Hailstorm. Monthly Weather Review. 140(4). 1385–1403. 80 indexed citations

10.

Picca, Joseph C.. (2010). Z DR columns as a predictive tool for hail growth and storm evolution. 22 indexed citations

11.

Picca, Joseph C.. (2010). A multiple-wavelength polarimetric analysis of the 16 May 2010 Oklahoma City hailstorm. 1 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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