D. A. Burrows

606 total citations
22 papers, 400 citations indexed

About

D. A. Burrows is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, D. A. Burrows has authored 22 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 3 papers in Astronomy and Astrophysics. Recurrent topics in D. A. Burrows's work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (9 papers) and Atmospheric aerosols and clouds (4 papers). D. A. Burrows is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Climate variability and models (9 papers) and Atmospheric aerosols and clouds (4 papers). D. A. Burrows collaborates with scholars based in United States, Canada and Australia. D. A. Burrows's co-authors include Gang Chen, L. Ruby Leung, Jian Lu, Patrick Martineau, Peter V. Hobbs, S. Menon, V. N. Bringi, Craig R. Ferguson, Lance F. Bosart and Mehran Midia and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

D. A. Burrows

22 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Burrows United States 11 311 307 69 38 34 22 400
Gyula Molnar United States 9 344 1.1× 368 1.2× 32 0.5× 18 416
Chaing Chen United States 7 249 0.8× 318 1.0× 142 2.1× 9 385
Sigbjørn Grønås Norway 14 391 1.3× 496 1.6× 96 1.4× 19 517
Amanda M. Kerr‐Munslow United Kingdom 4 443 1.4× 452 1.5× 48 0.7× 5 480
P. Delville France 9 287 0.9× 298 1.0× 48 0.7× 20 344
Richard S. Penc United States 8 376 1.2× 448 1.5× 36 0.5× 10 489
Katrin Lonitz United Kingdom 8 542 1.7× 605 2.0× 55 0.8× 15 647
Dan Wolfe United States 7 166 0.5× 211 0.7× 78 1.1× 13 296
Yvon Lemaître France 14 381 1.2× 519 1.7× 148 2.1× 42 561
Rangarao V. Madala United States 11 223 0.7× 297 1.0× 117 1.7× 22 371

Countries citing papers authored by D. A. Burrows

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Burrows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Burrows. 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 D. A. Burrows. The network helps show where D. A. Burrows may publish in the future.

Co-authorship network of co-authors of D. A. Burrows

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Burrows. A scholar is included among the top collaborators of D. A. Burrows 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 D. A. Burrows. D. A. Burrows 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.
2.
Agrawal, Shubhi, et al.. (2021). Teleconnections Governing the Interannual Variability of Great Plains Low-Level Jets in May. Journal of Climate. 34(12). 4785–4802. 3 indexed citations
3.
Burrows, D. A., Craig R. Ferguson, & Lance F. Bosart. (2020). The Role of Upper-Level Coupling on Great Plains Low-Level Jet Structure and Variability. Journal of the Atmospheric Sciences. 77(12). 4317–4335. 8 indexed citations
4.
Ferguson, Craig R., Shubhi Agrawal, Mark Beauharnois, et al.. (2020). Assimilation of Satellite-Derived Soil Moisture for Improved Forecasts of the Great Plains Low-Level Jet. Monthly Weather Review. 148(11). 4607–4627. 7 indexed citations
5.
Burrows, D. A., Craig R. Ferguson, Matthew A. Campbell, Geng Xia, & Lance F. Bosart. (2019). An Objective Classification and Analysis of Upper-Level Coupling to the Great Plains Low-Level Jet over the Twentieth Century. Journal of Climate. 32(21). 7127–7152. 21 indexed citations
6.
Campbell, Matthew A., Craig R. Ferguson, D. A. Burrows, et al.. (2019). Diurnal Effects of Regional Soil Moisture Anomalies on the Great Plains Low-Level Jet. Monthly Weather Review. 147(12). 4611–4631. 7 indexed citations
7.
Martineau, Patrick, Gang Chen, & D. A. Burrows. (2017). Wave Events: Climatology, Trends, and Relationship to Northern Hemisphere Winter Blocking and Weather Extremes. Journal of Climate. 30(15). 5675–5697. 53 indexed citations
8.
Burrows, D. A., Gang Chen, & Lantao Sun. (2016). Barotropic and Baroclinic Eddy Feedbacks in the Midlatitude Jet Variability and Responses to Climate Change–Like Thermal Forcings. Journal of the Atmospheric Sciences. 74(1). 111–132. 16 indexed citations
9.
Chen, Gang, Jian Lu, D. A. Burrows, & L. Ruby Leung. (2015). Local finite‐amplitude wave activity as an objective diagnostic of midlatitude extreme weather. Geophysical Research Letters. 42(24). 66 indexed citations
10.
Nie, Yu, Yang Zhang, Gang Chen, Xiu‐Qun Yang, & D. A. Burrows. (2014). Quantifying barotropic and baroclinic eddy feedbacks in the persistence of the Southern Annular Mode. Geophysical Research Letters. 41(23). 8636–8644. 35 indexed citations
11.
Kirby, John M., D. A. Burrows, Ehsan Haider, Zeev V. Maizlin, & Mehran Midia. (2010). Utility of MRI Before and After Uterine Fibroid Embolization: Why to Do It and What to Look For. CardioVascular and Interventional Radiology. 34(4). 705–716. 38 indexed citations
12.
Alkezweeny, A.J., D. A. Burrows, & C. A. Grainger. (1993). Measurements of Cloud-Droplet-Size Distributions in Polluted and Unpolluted Stratiform Clouds. Journal of Applied Meteorology. 32(1). 106–115. 16 indexed citations
13.
Bringi, V. N., D. A. Burrows, & S. Menon. (1991). Multiparameter Radar and Aircraft Study of Raindrop Spectral Evolution in Warm-based Clouds. Journal of Applied Meteorology. 30(6). 853–880. 35 indexed citations
14.
Burrows, D. A. & Jeffrey L. Stith. (1986). Alignment of fee Crystals due to Transient Electric Fields. Journal of Atmospheric and Oceanic Technology. 3(2). 265–272. 2 indexed citations
15.
Cockshott, W. Peter, et al.. (1985). Use of radiographic projections of knee. Skeletal Radiology. 13(2). 131–133. 2 indexed citations
16.
Burrows, D. A., et al.. (1984). Is the vacuum sign in the sacro-iliac joint a useful radiological sign of chondrocalcinosis?. PubMed. 53(3). 141–3. 1 indexed citations
17.
Burrows, D. A. & Peter V. Hobbs. (1970). Electrical charges on snow particles. Journal of Geophysical Research Atmospheres. 75(24). 4499–4505. 14 indexed citations
18.
Burrows, D. A. & Peter V. Hobbs. (1969). Charging of Ice Spheres Due to Collisions with Ice Crystals and the Electrification of Thunderstorms. Journal of the Atmospheric Sciences. 26(3). 560–565. 7 indexed citations
19.
Burrows, D. A., Peter V. Hobbs, & William D. Scott. (1967). FACTORS AFFECTING THE ELECTRIC CHARGE ACQUIRED BY AN ICE SPHERE MOVING THROUGH NATURAL SNOWFALL1. Monthly Weather Review. 95(12). 878–883. 4 indexed citations
20.
Hobbs, Peter V. & D. A. Burrows. (1966). The Electrification of an Ice Sphere Moving through Natural Clouds. Journal of the Atmospheric Sciences. 23(6). 757–763. 11 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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