Daniel P. Brown

560 total citations
10 papers, 425 citations indexed

About

Daniel P. Brown is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Daniel P. Brown has authored 10 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 5 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Daniel P. Brown's work include Tropical and Extratropical Cyclones Research (7 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel P. Brown is often cited by papers focused on Tropical and Extratropical Cyclones Research (7 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (4 papers). Daniel P. Brown collaborates with scholars based in United States, Kuwait and Australia. Daniel P. Brown's co-authors include John L. Beven, James L. Franklin, Eric S. Blake, Richard D. Knabb, John A. Knaff, Richard J. Pasch, Stacy R. Stewart, Jamie Rhome, David P. Roberts and Katherine A. Winters and has published in prestigious journals such as Monthly Weather Review, Weather and Forecasting and Journal of Constructivist Psychology.

In The Last Decade

Daniel P. Brown

10 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Brown United States 7 349 262 191 36 33 10 425
Clare Eayrs United Arab Emirates 10 487 1.4× 245 0.9× 167 0.9× 27 0.8× 52 1.6× 17 570
Hal F. Needham United States 7 360 1.0× 224 0.9× 192 1.0× 116 3.2× 61 1.8× 10 417
Lidia Gaslikova Germany 10 167 0.5× 151 0.6× 162 0.8× 53 1.5× 31 0.9× 20 295
Lianshou Chen China 16 757 2.2× 637 2.4× 276 1.4× 34 0.9× 11 0.3× 57 810
James I. Belanger United States 5 348 1.0× 202 0.8× 213 1.1× 95 2.6× 16 0.5× 7 378
Yoko SHIBUTANI Japan 6 282 0.8× 196 0.7× 124 0.6× 116 3.2× 30 0.9× 44 364
Tom Carrières Canada 16 695 2.0× 166 0.6× 124 0.6× 6 0.2× 22 0.7× 37 733
Byongjun Hwang United Kingdom 16 643 1.8× 98 0.4× 183 1.0× 12 0.3× 40 1.2× 52 720
Joy Santiago Philippines 6 185 0.5× 110 0.4× 51 0.3× 91 2.5× 35 1.1× 12 283
O. P. G. Persson United States 5 300 0.9× 100 0.4× 177 0.9× 26 0.7× 16 0.5× 9 361

Countries citing papers authored by Daniel P. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Brown

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

All Works

10 of 10 papers shown
1.
Brown, Daniel P., et al.. (2024). Western Balkans: It’s Complicated An Inter-ethnic Communication Interdisciplinary Examination. Journal of Intercultural Communication. 132–143. 1 indexed citations
2.
Brown, Daniel P., et al.. (2022). Classroom-Based Power Exchanges That Disrupt Teaching and Learning Spaces to What Extent Could Middle Eastern High School Students Manage Their Challenging Behaviors. Journal of Constructivist Psychology. 36(1). 103–120. 1 indexed citations
3.
DeMaria, Mark, John A. Knaff, Michael J. Brennan, et al.. (2013). Improvements to the Operational Tropical Cyclone Wind Speed Probability Model. Weather and Forecasting. 28(3). 586–602. 59 indexed citations
4.
Cossuth, Joshua H., Richard D. Knabb, Daniel P. Brown, & Robert E. Hart. (2012). Tropical Cyclone Formation Guidance Using Pregenesis Dvorak Climatology. Part I: Operational Forecasting and Predictive Potential. Weather and Forecasting. 28(1). 100–118. 15 indexed citations
5.
Knaff, John A., et al.. (2010). An Evaluation of Dvorak Technique–Based Tropical Cyclone Intensity Estimates. Weather and Forecasting. 25(5). 1362–1379. 100 indexed citations
6.
Brown, Daniel P., John L. Beven, James L. Franklin, & Eric S. Blake. (2009). Atlantic Hurricane Season of 2008*. Monthly Weather Review. 138(5). 1975–2001. 43 indexed citations
7.
Beven, John L. & Daniel P. Brown. (2009). The 2008 Atlantic Hurricane Season. Weatherwise. 62(2). 36–42. 1 indexed citations
8.
Beven, John L., Eric S. Blake, Daniel P. Brown, et al.. (2008). Atlantic Hurricane Season of 2005. Monthly Weather Review. 136(3). 1109–1173. 152 indexed citations
9.
Pasch, Richard J., Eric S. Blake, Lixion A. Avila, et al.. (2008). Eastern North Pacific Hurricane Season of 2006. Monthly Weather Review. 137(1). 3–20. 18 indexed citations
10.
Franklin, James L. & Daniel P. Brown. (2008). Atlantic Hurricane Season of 2006. Monthly Weather Review. 136(3). 1174–1200. 35 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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