Keith F. Brill

984 total citations
30 papers, 762 citations indexed

About

Keith F. Brill is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Keith F. Brill has authored 30 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in Keith F. Brill's work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (22 papers) and Tropical and Extratropical Cyclones Research (7 papers). Keith F. Brill is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Climate variability and models (22 papers) and Tropical and Extratropical Cyclones Research (7 papers). Keith F. Brill collaborates with scholars based in United States. Keith F. Brill's co-authors include Louis W. Uccellini, Carlyle H. Wash, Paul J. Kocin, Daniel Keyser, Ralph A. Petersen, Jeffrey S. Whitaker, Fedor Mesinger, David Novák, Bruce A. Albrecht and Christopher M. Bailey and has published in prestigious journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Keith F. Brill

29 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith F. Brill United States 14 690 613 86 59 29 30 762
Per Undén United Kingdom 15 792 1.1× 764 1.2× 120 1.4× 87 1.5× 25 0.9× 19 867
Louisa Nance United States 13 673 1.0× 482 0.8× 66 0.8× 120 2.0× 28 1.0× 24 726
N. B. Ingleby United Kingdom 10 705 1.0× 641 1.0× 142 1.7× 117 2.0× 41 1.4× 15 786
Hisaki Eito Japan 8 574 0.8× 468 0.8× 101 1.2× 60 1.0× 28 1.0× 14 636
M. Steven Tracton United States 9 644 0.9× 627 1.0× 99 1.2× 76 1.3× 14 0.5× 16 712
R. S. Bell United Kingdom 6 515 0.7× 451 0.7× 146 1.7× 61 1.0× 87 3.0× 8 634
J.‐F. Geleyn France 17 765 1.1× 697 1.1× 120 1.4× 133 2.3× 29 1.0× 28 861
Ludovic Auger France 8 629 0.9× 585 1.0× 66 0.8× 72 1.2× 23 0.8× 14 722
Dennis G. Deaven United States 7 743 1.1× 696 1.1× 113 1.3× 126 2.1× 17 0.6× 9 877
Kohei Aranami Japan 7 751 1.1× 651 1.1× 136 1.6× 103 1.7× 23 0.8× 9 866

Countries citing papers authored by Keith F. Brill

Since Specialization
Citations

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

Fields of papers citing papers by Keith F. Brill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith F. Brill. 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 Keith F. Brill. The network helps show where Keith F. Brill may publish in the future.

Co-authorship network of co-authors of Keith F. Brill

This figure shows the co-authorship network connecting the top 25 collaborators of Keith F. Brill. A scholar is included among the top collaborators of Keith F. Brill 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 Keith F. Brill. Keith F. Brill 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.
Brill, Keith F., et al.. (2022). On the Emergence of Frequency Bias from Accumulating or Disaggregating Bias-Corrected Quantitative Precipitation Forecasts. Weather and Forecasting. 37(4). 511–524. 1 indexed citations
2.
Pyle, Matthew & Keith F. Brill. (2018). A Comparison of Two Methods for Bias Correcting Precipitation Skill Scores. Weather and Forecasting. 34(1). 3–13. 8 indexed citations
3.
Brill, Keith F., et al.. (2015). Applying a Divisive Clustering Algorithm to a Large Ensemble for Medium-Range Forecasting at the Weather Prediction Center. Weather and Forecasting. 30(4). 873–891. 6 indexed citations
4.
Brill, Keith F.. (2013). Revisiting an Old Concept: The Gradient Wind*. Monthly Weather Review. 142(4). 1460–1471. 12 indexed citations
5.
Novák, David, et al.. (2013). Precipitation and Temperature Forecast Performance at the Weather Prediction Center. Weather and Forecasting. 29(3). 489–504. 72 indexed citations
6.
White, Allen B., Gary M. Carter, F. Martin Ralph, et al.. (2011). NOAA's Rapid Response to the Howard A. Hanson Dam Flood Risk Management Crisis. Bulletin of the American Meteorological Society. 93(2). 189–207. 19 indexed citations
7.
Brill, Keith F. & Matthew Pyle. (2010). The Response of Performance Metrics for Binary Forecasts to Hedging that Approaches Random Change. Weather and Forecasting. 25(4). 1307–1314.
8.
Brill, Keith F. & Fedor Mesinger. (2009). Applying a General Analytic Method for Assessing Bias Sensitivity to Bias-Adjusted Threat and Equitable Threat Scores. Weather and Forecasting. 24(6). 1748–1754. 31 indexed citations
9.
Brill, Keith F.. (2008). A General Analytic Method for Assessing Sensitivity to Bias of Performance Measures for Dichotomous Forecasts. Weather and Forecasting. 24(1). 307–318. 22 indexed citations
10.
Brill, Keith F., et al.. (2006). Confidence Interval Estimation for Quantitative Precipitation Forecasts (QPF) Using Short-Range Ensemble Forecasts (SREF). Weather and Forecasting. 21(1). 24–41. 4 indexed citations
11.
Junker, Norman W., et al.. (1992). Seasonal and Geographic Variations in Quantitative Precipitation Prediction by NMC's Nested-Grid Model and Medium-Range Forecast Model. Weather and Forecasting. 7(3). 410–429. 30 indexed citations
12.
Manobianco, John, Louis W. Uccellini, Keith F. Brill, & Ying‐Hwa Kuo. (1992). The Impact of Dynamic Data Assimilation on the Numerical Simulations of the QE II Cyclone and an Analysis of the Jet Streak Influencing the Precyclogenetic Environment. Monthly Weather Review. 120(9). 1973–1996. 4 indexed citations
13.
Manobianco, John, Louis W. Uccellini, Keith F. Brill, & Paul J. Kocin. (1991). Contrasting the impact of dynamic data assimilation on the numerical simulations of cyclogenesis during GALEIOP 10 and IOP 1. Meteorology and Atmospheric Physics. 45(1-2). 41–63. 5 indexed citations
14.
15.
Uccellini, Louis W., Ralph A. Petersen, Daniel Keyser, et al.. (1986). A Report on the Upper-Level Wind Conditions Preceding and During the Shuttle Challenger (STS 51L) Explosion. Bulletin of the American Meteorological Society. 67(10). 1248–1265. 13 indexed citations
16.
Petersen, Ralph A., et al.. (1985). The sensitivity of a mesoscale forecast model to detailed three-dimensional isentropic initial analyses and varied vertical model resolution. NASA Technical Reports Server (NASA). 2 indexed citations
17.
Brill, Keith F., et al.. (1985). Numerical Simulations of a Transverse Indirect Circulation and Low-Level Jet in the Exit Region of an Upper-Level Jet. Journal of the Atmospheric Sciences. 42(12). 1306–1320. 26 indexed citations
18.
Uccellini, Louis W., Daniel Keyser, Keith F. Brill, & Carlyle H. Wash. (1985). The Presidents' Day Cyclone of 18–19 February 1979: Influence of Upstream Trough Amplification and Associated Tropopause Folding on Rapid Cyclogenesis. Monthly Weather Review. 113(6). 962–988. 157 indexed citations
19.
Kocin, Paul J., et al.. (1983). An evaluation of the synoptic- and mesoscale predictability of the Mesoscale Atmospheric Simulation System (MASS 2.0) model. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Koch, Steven E., et al.. (1983). Evaluation of the synoptic and mesoscale predictive capabilities of a mesoscale atmospheric simulation system. NASA Technical Reports Server (NASA). 2 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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