Barbara G. Brown

7.2k total citations · 2 hit papers
78 papers, 4.7k citations indexed

About

Barbara G. Brown is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Barbara G. Brown has authored 78 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 50 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Barbara G. Brown's work include Meteorological Phenomena and Simulations (49 papers), Climate variability and models (36 papers) and Hydrology and Drought Analysis (11 papers). Barbara G. Brown is often cited by papers focused on Meteorological Phenomena and Simulations (49 papers), Climate variability and models (36 papers) and Hydrology and Drought Analysis (11 papers). Barbara G. Brown collaborates with scholars based in United States, Australia and United Kingdom. Barbara G. Brown's co-authors include Richard W. Katz, Randy Bullock, Christopher A. Davis, Allan H. Murphy, Elizabeth E. Ebert, Eric Gilleland, David Ahijevych, Barbara Casati, John Halley Gotway and Laurence J. Wilson and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Climate.

In The Last Decade

Barbara G. Brown

74 papers receiving 4.4k citations

Hit Papers

Extreme events in a chang... 1984 2026 1998 2012 1992 1984 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Barbara G. Brown 3.2k 3.1k 591 321 316 78 4.7k
Vassiliki Kotroni 3.3k 1.0× 2.8k 0.9× 661 1.1× 215 0.7× 186 0.6× 175 4.6k
Philippe Drobinski 3.4k 1.0× 3.1k 1.0× 883 1.5× 249 0.8× 262 0.8× 175 4.5k
David Pozo‐Vázquez 2.0k 0.6× 1.7k 0.5× 381 0.6× 847 2.6× 267 0.8× 75 3.9k
Andreas Hense 2.6k 0.8× 2.7k 0.9× 362 0.6× 110 0.3× 86 0.3× 118 4.0k
Silas Michaelides 2.8k 0.9× 2.4k 0.8× 1.0k 1.7× 191 0.6× 152 0.5× 170 4.9k
Péter Bauer 5.0k 1.6× 6.1k 2.0× 1.1k 1.9× 222 0.7× 290 0.9× 137 7.5k
Philippe Naveau 3.6k 1.1× 2.5k 0.8× 535 0.9× 108 0.3× 60 0.2× 149 5.3k
Mathieu Vrac 5.9k 1.8× 4.1k 1.3× 596 1.0× 175 0.5× 154 0.5× 144 7.4k
Paolo Ruti 2.1k 0.7× 1.8k 0.6× 139 0.2× 227 0.7× 210 0.7× 61 2.9k
Wei Gong 2.4k 0.7× 2.1k 0.7× 1.0k 1.7× 155 0.5× 116 0.4× 106 4.4k

Countries citing papers authored by Barbara G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Barbara G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara G. Brown. 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 Barbara G. Brown. The network helps show where Barbara G. Brown may publish in the future.

Co-authorship network of co-authors of Barbara G. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara G. Brown. A scholar is included among the top collaborators of Barbara G. Brown 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 Barbara G. Brown. Barbara G. Brown 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.
Fox‐Hughes, Paul, Curtis M. Jolly, Stuart Matthews, et al.. (2024). An evaluation of wildland fire simulators used operationally in Australia. International Journal of Wildland Fire. 33(4). 4 indexed citations
2.
Brown, Barbara G., Louisa Nance, Christopher Williams, et al.. (2023). User-Responsive Diagnostic Forecast Evaluation Approaches: Application to Tropical Cyclone Predictions. Weather and Forecasting. 38(11). 2321–2342.
3.
Abatan, Abayomi A., William J. Gutowski, Caspar Ammann, et al.. (2018). Statistics of multi‐year droughts from the method for object‐based diagnostic evaluation. International Journal of Climatology. 38(8). 3405–3420. 8 indexed citations
4.
Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2018). Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications. Wind energy science. 3(2). 589–613. 26 indexed citations
5.
Dorninger, Manfred, Eric Gilleland, Barbara Casati, et al.. (2018). The Setup of the MesoVICT Project. Bulletin of the American Meteorological Society. 99(9). 1887–1906. 37 indexed citations
6.
Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2017). Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
7.
Gilleland, Eric, Melissa Bukovsky, Christopher Williams, et al.. (2016). Evaluating NARCCAP model performance for frequencies of severe-storm environments. SHILAP Revista de lepidopterología. 2(2). 137–153. 7 indexed citations
8.
Lei, Xiaotu, et al.. (2016). WMO Typhoon Landfall Forecast Demonstration Project (WMO-TLFDP) Progress and Future Plans. SHILAP Revista de lepidopterología. 5. 72–84. 2 indexed citations
9.
Bullock, Randy, Barbara G. Brown, & Tressa Fowler. (2016). Method for Object-Based Diagnostic Evaluation. UCAR/NCAR. 21 indexed citations
10.
Shao, Hui, John Derber, Huang Xiangyu, et al.. (2015). Bridging Research to Operations Transitions: Status and Plans of Community GSI. Bulletin of the American Meteorological Society. 97(8). 1427–1440. 77 indexed citations
11.
Yu, Hui, Guomin Chen, & Barbara G. Brown. (2013). A New Verification Measure for Tropical Cyclone Track Forecasts and its Experimental Application. SHILAP Revista de lepidopterología. 2(4). 185–195. 8 indexed citations
12.
Yu, Hui, et al.. (2012). Operational Tropical Cyclone Forecast Verification Practice in the Western North Pacific Region. SHILAP Revista de lepidopterología. 29 indexed citations
13.
Brown, Barbara G., et al.. (2012). Variations in Rainfall and Insured Crop-Hail Losses Associated with Operational Cloud Seeding in South Dakota. The Journal of Weather Modification. 13(1). 150–160. 2 indexed citations
14.
Brown, Barbara G.. (2004). New verification approaches for convective weather forecasts. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 15 indexed citations
15.
Brown, Barbara G.. (2000). The turbulence algorithm intercomparison exercise: statistical verification results. 5 indexed citations
16.
Brown, Barbara G., et al.. (1999). 1 Turbulence Algorithm Intercomparison: 1998-99 Initial Results. 1 indexed citations
17.
Katz, Richard W. & Barbara G. Brown. (1992). Extreme events in a changing climate: Variability is more important than averages. Climatic Change. 21(3). 289–302. 1082 indexed citations breakdown →
18.
Brown, Barbara G. & Allan H. Murphy. (1987). Quantification of Uncertainity in Fire-Weather Forecasts: Some Results of Operational and Experimental Forecasting Programs. Weather and Forecasting. 2(3). 190–205. 13 indexed citations
19.
Brown, Barbara G.. (1974). Exploration of the "expanded role" of the nurse in a primary care setting.. PubMed. 6(2). 41–9. 3 indexed citations
20.
Brown, Barbara G. & Patricia J. Hey. (1952). Substituted choline aryl ethers as inhibitors of amine oxidase.. PubMed. 118(2). 15P–15P. 4 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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