P. D. Broxton

2.8k total citations
44 papers, 1.8k citations indexed

About

P. D. Broxton is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, P. D. Broxton has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 18 papers in Water Science and Technology. Recurrent topics in P. D. Broxton's work include Cryospheric studies and observations (33 papers), Hydrology and Watershed Management Studies (18 papers) and Plant Water Relations and Carbon Dynamics (13 papers). P. D. Broxton is often cited by papers focused on Cryospheric studies and observations (33 papers), Hydrology and Watershed Management Studies (18 papers) and Plant Water Relations and Carbon Dynamics (13 papers). P. D. Broxton collaborates with scholars based in United States, Chile and Sweden. P. D. Broxton's co-authors include Xubin Zeng, P. A. Troch, Nicholas Dawson, Damien Sulla‐Menashe, Joel A. Biederman, A. A. Harpold, Guo‐Yue Niu, Jon D. Pelletier, Willem van Leeuwen and P. Hazenberg and has published in prestigious journals such as Journal of Climate, Water Resources Research and Geophysical Research Letters.

In The Last Decade

P. D. Broxton

41 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. D. Broxton United States 22 1.0k 932 654 372 220 44 1.8k
Junqiang Yao China 25 937 0.9× 1.5k 1.7× 579 0.9× 217 0.6× 345 1.6× 84 2.1k
Margarita Choulga United Kingdom 10 1.3k 1.3× 1.6k 1.8× 555 0.8× 673 1.8× 346 1.6× 18 2.8k
Xingming Hao China 25 477 0.5× 1.1k 1.1× 474 0.7× 253 0.7× 357 1.6× 65 1.6k
Gabriele Arduini United Kingdom 13 1.6k 1.6× 1.7k 1.9× 569 0.9× 701 1.9× 330 1.5× 24 3.0k
Marcelo E. Seluchi Brazil 21 745 0.7× 1.2k 1.3× 382 0.6× 159 0.4× 238 1.1× 47 1.7k
Y. Durand France 16 1.4k 1.4× 831 0.9× 442 0.7× 275 0.7× 135 0.6× 28 2.0k
L. Franchistéguy France 13 619 0.6× 1.2k 1.3× 745 1.1× 394 1.1× 211 1.0× 19 1.8k
Elisa Palazzi Italy 23 1.4k 1.4× 1.3k 1.4× 349 0.5× 161 0.4× 189 0.9× 59 2.2k
Simon C. Scherrer Switzerland 28 1.4k 1.4× 1.5k 1.6× 589 0.9× 216 0.6× 200 0.9× 52 2.2k
Peng Sun China 40 840 0.8× 2.6k 2.8× 1.1k 1.7× 568 1.5× 428 1.9× 108 3.4k

Countries citing papers authored by P. D. Broxton

Since Specialization
Citations

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

Fields of papers citing papers by P. D. Broxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. D. Broxton

This figure shows the co-authorship network connecting the top 25 collaborators of P. D. Broxton. A scholar is included among the top collaborators of P. D. Broxton 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 P. D. Broxton. P. D. Broxton 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.
Biederman, Joel A., Ravindra Dwivedi, P. D. Broxton, et al.. (2025). Statistical emulation of hyper-resolution mechanistic snow modeling assesses forest management and the importance of tree arrangement. Journal of Hydrology. 662. 133886–133886.
2.
Krogh, Sebastian A., C. Tague, P. D. Broxton, et al.. (2025). Forest regrowth impacts on high-resolution snowpack modeling: A proof-of-concept in a Mediterranean montane catchment. Journal of Hydrology. 660. 133426–133426.
3.
Broxton, P. D., David C. Goodrich, D. Phillip Guertin, et al.. (2024). Snow simulation for the rangeland hydrology and erosion model. Journal of Hydrology. 643. 131934–131934.
4.
Zhang, Xueyan, Yuanhao Fang, Guo‐Yue Niu, et al.. (2024). Impacts of Topography‐Driven Water Redistribution on Terrestrial Water Storage Change in California Through Ecosystem Responses. Water Resources Research. 60(2). 4 indexed citations
5.
6.
Castro, Christopher L., et al.. (2023). Improving prediction of mountain snowfall in the southwestern United States using machine learning methods. Meteorological Applications. 30(6). 3 indexed citations
7.
8.
Broxton, P. D., et al.. (2021). Accounting for Fine‐Scale Forest Structure is Necessary to Model Snowpack Mass and Energy Budgets in Montane Forests. Water Resources Research. 57(12). 20 indexed citations
9.
Broxton, P. D., Willem van Leeuwen, & Joel A. Biederman. (2020). Forest cover and topography regulate the thin, ephemeral snowpacks of the semiarid Southwest United States. Ecohydrology. 13(4). 24 indexed citations
10.
Broxton, P. D., et al.. (2020). Estimating the Effects of Forest Structure Changes From Wildfire on Snow Water Resources Under Varying Meteorological Conditions. Water Resources Research. 56(11). 37 indexed citations
11.
Broxton, P. D., Willem van Leeuwen, & Joel A. Biederman. (2019). Improving Snow Water Equivalent Maps With Machine Learning of Snow Survey and Lidar Measurements. Water Resources Research. 55(5). 3739–3757. 81 indexed citations
12.
Broxton, P. D., et al.. (2019). The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Zeng, Xubin, P. D. Broxton, & Nicholas Dawson. (2018). Snowpack Change From 1982 to 2016 Over Conterminous United States. Geophysical Research Letters. 45(23). 123 indexed citations
14.
Leeuwen, Willem van, P. D. Broxton, & Joel A. Biederman. (2017). Evaluating UAV and LiDAR Retrieval of Snow Depth in a Coniferous Forest in Arizona. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
15.
Dawson, Nicholas, P. D. Broxton, & Xubin Zeng. (2016). A New Snow Density Parameterization for Land Data Assimilation. AGU Fall Meeting Abstracts. 2016. 2 indexed citations
16.
Broxton, P. D., Xubin Zeng, & Nicholas Dawson. (2016). Why Do Global Reanalyses and Land Data Assimilation Products Underestimate Snow Water Equivalent?. Journal of Hydrometeorology. 17(11). 2743–2761. 77 indexed citations
17.
Pelletier, Jon D., P. D. Broxton, P. Hazenberg, et al.. (2015). A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling. Journal of Advances in Modeling Earth Systems. 8(1). 41–65. 207 indexed citations
18.
Broxton, P. D., A. A. Harpold, Joel A. Biederman, et al.. (2014). Quantifying the effects of vegetation structure on snow accumulation and ablation in mixed‐conifer forests. Ecohydrology. 8(6). 1073–1094. 139 indexed citations
19.
Broxton, P. D., et al.. (2013). An All-Season Flash Flood Forecasting System for Real-Time Operations. Bulletin of the American Meteorological Society. 95(3). 399–407. 11 indexed citations
20.
Broxton, P. D., P. A. Troch, & Steve W. Lyon. (2009). On the role of aspect to quantify water transit times in small mountainous catchments. Water Resources Research. 45(8). 99 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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