P. Shafran

3.9k total citations · 1 hit paper
8 papers, 3.2k citations indexed

About

P. Shafran is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, P. Shafran has authored 8 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in P. Shafran's work include Meteorological Phenomena and Simulations (5 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). P. Shafran is often cited by papers focused on Meteorological Phenomena and Simulations (5 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). P. Shafran collaborates with scholars based in United States and Canada. P. Shafran's co-authors include Eric Rogers, Ying Lin, Yun Fan, Ernesto Hugo Berbery, Michael Ek, Fedor Mesinger, W. Higgins, Hong Li, Eugenia Kalnay and Wei Shi 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

P. Shafran

7 papers receiving 3.1k citations

Hit Papers

North American Regional Reanalysis 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Shafran United States 6 2.3k 2.3k 456 359 330 8 3.2k
Geoff DiMego United States 10 2.4k 1.0× 2.4k 1.0× 498 1.1× 360 1.0× 337 1.0× 16 3.3k
Dušan Jović United States 6 2.2k 0.9× 2.2k 1.0× 373 0.8× 361 1.0× 366 1.1× 7 3.1k
Robert Grumbine United States 13 2.5k 1.1× 2.4k 1.0× 351 0.8× 536 1.5× 328 1.0× 24 3.4k
Michael A. Palecki United States 22 2.3k 1.0× 2.4k 1.1× 747 1.6× 336 0.9× 479 1.5× 45 3.6k
Klaus Wyser Sweden 31 2.9k 1.2× 3.8k 1.6× 344 0.8× 428 1.2× 663 2.0× 66 4.9k
Zongci Zhao China 19 1.6k 0.7× 1.8k 0.8× 235 0.5× 190 0.5× 229 0.7× 42 2.5k
Hui Wan Canada 21 2.3k 1.0× 3.0k 1.3× 368 0.8× 231 0.6× 536 1.6× 35 3.8k
W. Higgins United States 15 3.4k 1.5× 3.4k 1.5× 390 0.9× 673 1.9× 411 1.2× 23 4.5k
Raymond W. Arritt United States 34 2.6k 1.1× 2.9k 1.2× 570 1.3× 250 0.7× 570 1.7× 94 3.7k
Yongxin Zhang United States 27 2.0k 0.9× 1.8k 0.8× 284 0.6× 331 0.9× 521 1.6× 64 2.8k

Countries citing papers authored by P. Shafran

Since Specialization
Citations

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

Fields of papers citing papers by P. Shafran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Shafran

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

All Works

8 of 8 papers shown
1.
Black, Thomas L., Benjamin T. Blake, Eric Rogers, et al.. (2021). A Limited Area Modeling Capability for the Finite‐Volume Cubed‐Sphere (FV3) Dynamical Core and Comparison With a Global Two‐Way Nest. Journal of Advances in Modeling Earth Systems. 13(6). 25 indexed citations
2.
Carley, Jacob R., Benjamin T. Blake, Thomas L. Black, et al.. (2020). Advances Toward an Operational Convection-Allowing Ensemble Prediction System in the Unified Forecast System at NOAA.
3.
Lee, Pius, Jeffery T. McQueen, Ivanka Štajner, et al.. (2016). NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5). Weather and Forecasting. 32(1). 343–360. 56 indexed citations
4.
Huang, Jianping, Jeffery T. McQueen, James M. Wilczak, et al.. (2016). Improving NOAA NAQFC PM2.5 Predictions with a Bias Correction Approach. Weather and Forecasting. 32(2). 407–421. 46 indexed citations
5.
Štajner, Ivanka, et al.. (2014). National Air Quality Forecast Capability: Status and Research Needs. 2014 AGU Fall Meeting. 2014. 1 indexed citations
6.
Mesinger, Fedor, Geoff DiMego, Eugenia Kalnay, et al.. (2006). North American Regional Reanalysis. Bulletin of the American Meteorological Society. 87(3). 343–360. 2921 indexed citations breakdown →
7.
Shafran, P., et al.. (2001). An Observing System Experiment with the West Coast Picket Fence. Monthly Weather Review. 129(10). 2585–2599. 8 indexed citations
8.
Shafran, P., Nelson L. Seaman, & George Gayno. (2000). Evaluation of Numerical Predictions of Boundary Layer Structure during the Lake Michigan Ozone Study. Journal of Applied Meteorology. 39(3). 412–426. 148 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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