Larry Bradshaw

1.3k total citations
24 papers, 488 citations indexed

About

Larry Bradshaw is a scholar working on Global and Planetary Change, Safety, Risk, Reliability and Quality and Environmental Engineering. According to data from OpenAlex, Larry Bradshaw has authored 24 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 8 papers in Safety, Risk, Reliability and Quality and 7 papers in Environmental Engineering. Recurrent topics in Larry Bradshaw's work include Fire effects on ecosystems (18 papers), Fire dynamics and safety research (8 papers) and Wind and Air Flow Studies (4 papers). Larry Bradshaw is often cited by papers focused on Fire effects on ecosystems (18 papers), Fire dynamics and safety research (8 papers) and Wind and Air Flow Studies (4 papers). Larry Bradshaw collaborates with scholars based in United States, Ireland and Slovakia. Larry Bradshaw's co-authors include Patricia L. Andrews, Don O. Loftsgaarden, Bret W. Butler, Kyle Shannon, D. Jiménez, Jonathan Cohen, Don J. Latham, Jason Forthofer, Mark A. Finney and Richard D. Stratton and has published in prestigious journals such as Annals of the Rheumatic Diseases, Atmospheric chemistry and physics and Forest Ecology and Management.

In The Last Decade

Larry Bradshaw

22 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larry Bradshaw United States 11 445 155 111 104 86 24 488
Kyle Shannon United States 8 362 0.8× 169 1.1× 72 0.6× 46 0.4× 116 1.3× 12 469
J. J. Hollis Australia 11 589 1.3× 164 1.1× 108 1.0× 157 1.5× 80 0.9× 19 659
Carlos G. Rossa Portugal 13 392 0.9× 148 1.0× 116 1.0× 86 0.8× 31 0.4× 25 430
Xiaorui Tian China 12 395 0.9× 100 0.6× 98 0.9× 104 1.0× 60 0.7× 31 459
Hiromu Moriwaki Japan 9 152 0.3× 66 0.4× 216 1.9× 103 1.0× 106 1.2× 19 444
M. Jappiot France 12 671 1.5× 245 1.6× 115 1.0× 159 1.5× 34 0.4× 16 713
FA Albini United States 7 313 0.7× 109 0.7× 37 0.3× 82 0.8× 43 0.5× 7 333
Eunmo Koo United States 10 455 1.0× 258 1.7× 62 0.6× 48 0.5× 103 1.2× 21 592
William H. Frandsen United States 9 409 0.9× 159 1.0× 63 0.6× 141 1.4× 37 0.4× 18 471
Anne Ganteaume France 7 625 1.4× 159 1.0× 158 1.4× 165 1.6× 51 0.6× 7 661

Countries citing papers authored by Larry Bradshaw

Since Specialization
Citations

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

Fields of papers citing papers by Larry Bradshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larry Bradshaw

This figure shows the co-authorship network connecting the top 25 collaborators of Larry Bradshaw. A scholar is included among the top collaborators of Larry Bradshaw 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 Larry Bradshaw. Larry Bradshaw 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.
Jolly, W. Matt, et al.. (2024). Modernizing the US National Fire Danger Rating System (version 4): Simplified fuel models and improved live and dead fuel moisture calculations. Environmental Modelling & Software. 181. 106181–106181. 5 indexed citations
2.
Marlin, M. Caleb, Larry Bradshaw, Kyle Wright, et al.. (2024). AB0802 AI-ENABLED TISSUE CLASSIFIER FOR SJOGREN’S DISEASE SALIVARY GLAND IDENTIFIES KEY HISTOLOGICAL FEATURES IMPORTANT FOR UNDERSTANDING DISEASE MANIFESTATION. Annals of the Rheumatic Diseases. 83. 1695–1695.
3.
Butler, Bret W., Murray J. Morrison, Daniel M. Jiménez, et al.. (2019). Exploring fire response to high wind speeds: fire rate of spread, energy release and flame residence time from fires burned in pine needle beds under winds up to 27 m s−1. International Journal of Wildland Fire. 29(1). 81–92. 10 indexed citations
4.
Bradshaw, Larry, et al.. (2016). Spatial products available for identifying areas of likely wildfire ignitions using lightning location data-Wildland Fire Assessment System (WFAS). 2 indexed citations
5.
Butler, Bret W., Natalie Wagenbrenner, Jason Forthofer, et al.. (2015). High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon. Atmospheric chemistry and physics. 15(7). 3785–3801. 22 indexed citations
6.
Forthofer, Jason, Bret W. Butler, Charles W. McHugh, et al.. (2014). A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations. International Journal of Wildland Fire. 23(7). 982–994. 42 indexed citations
7.
8.
Rorig, Miriam, et al.. (2006). Evaluation of MM5 model resolution when applied to prediction of National Fire Danger Rating indexes. International Journal of Wildland Fire. 15(2). 147–154. 7 indexed citations
9.
Hall, Beth L., Timothy J. Brown, & Larry Bradshaw. (2005). Development of U.S. Operational Fire Danger 15-Day Forecasts. 1 indexed citations
10.
Ferguson, Sue A., et al.. (2004). The Effect of Model Resolution in Predicting Meteorological Parameters Used in Fire Danger Rating. Journal of Applied Meteorology. 43(10). 1333–1347. 12 indexed citations
11.
Butler, Bret W., Jonathan Cohen, Don J. Latham, et al.. (2004). Measurements of radiant emissive power and temperatures in crown fires. Canadian Journal of Forest Research. 34(8). 1577–1587. 134 indexed citations
12.
Bradshaw, Larry, et al.. (2003). Fire behavior, fuel treatments, and fire suppression on the Hayman Fire - Part 1: Fire weather, meteorology, and climate. 114. 3 indexed citations
13.
Rorig, Miriam, et al.. (2003). Assessing the value of increased model resolution in forecasting fire danger. 1–2. 1 indexed citations
14.
Andrews, Patricia L., Don O. Loftsgaarden, & Larry Bradshaw. (2003). Evaluation of fire danger rating indexes using logistic regression and percentile analysis. International Journal of Wildland Fire. 12(2). 213–226. 139 indexed citations
15.
Finney, Mark A., Larry Bradshaw, Brandon M. Collins, et al.. (2003). Fire behavior, fuel treatments, and fire suppression on the Hayman Fire. 114. 19 indexed citations
16.
Andrews, Patricia L. & Larry Bradshaw. (1995). Fire danger rating and the go/no-go decision for prescribed natural fire. 1 indexed citations
17.
Bradshaw, Larry, et al.. (1986). Display and interpretation of fire behavior probabilities for long-term planning. Environmental Management. 10(3). 393–402. 7 indexed citations
18.
Bradshaw, Larry, et al.. (1985). On Using a Fourier Series Model for Estimating Diurnal Temperatures at Mountainous Locations in the Western United States. Journal of Climate and Applied Meteorology. 24(10). 1104–1106. 1 indexed citations
19.
Frandsen, William H., et al.. (1980). Estimating duff moisture from meteorological measurements.. 96–101. 1 indexed citations
20.
Kessell, Stephen R., et al.. (1978). Analysis and application of forest fuels data. Environmental Management. 2(4). 347–363. 15 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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