L. A. Bearup

891 total citations
19 papers, 636 citations indexed

About

L. A. Bearup is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, L. A. Bearup has authored 19 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 11 papers in Global and Planetary Change and 9 papers in Atmospheric Science. Recurrent topics in L. A. Bearup's work include Hydrology and Watershed Management Studies (13 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Climate variability and models (4 papers). L. A. Bearup is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Climate variability and models (4 papers). L. A. Bearup collaborates with scholars based in United States, Russia and Iran. L. A. Bearup's co-authors include R. M. Maxwell, John E. McCray, David W. Clow, Jonathan O. Sharp, Kristin M. Mikkelson, John D. Stednick, Rosemary Carroll, Alexis Navarre‐Sitchler, Markus Bill and Wenming Dong and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Resources Research.

In The Last Decade

L. A. Bearup

18 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. A. Bearup United States	12	354	336	192	151	139	19	636
I. Iorgulescu Switzerland	10	335 0.9×	297 0.9×	89 0.5×	142 0.9×	210 1.5×	16	640
V. Cody Hale United States	7	251 0.7×	272 0.8×	107 0.6×	135 0.9×	86 0.6×	10	469
William Lidberg Sweden	13	255 0.7×	251 0.7×	160 0.8×	271 1.8×	201 1.4×	30	735
Todd Redding Canada	11	173 0.5×	210 0.6×	155 0.8×	224 1.5×	72 0.5×	20	546
Zoltán Gribovszki Hungary	13	468 1.3×	429 1.3×	114 0.6×	146 1.0×	292 2.1×	61	825
Jakub Jankovec Czechia	8	165 0.5×	182 0.5×	145 0.8×	122 0.8×	97 0.7×	9	581
Katharina Gimbel Germany	6	218 0.6×	299 0.9×	176 0.9×	97 0.6×	106 0.8×	6	556
Ali Fadel Lebanon	17	175 0.5×	170 0.5×	53 0.3×	167 1.1×	94 0.7×	33	546
Jérôme Juilleret Luxembourg	15	242 0.7×	153 0.5×	122 0.6×	106 0.7×	154 1.1×	31	542
Kendra E. Kaiser United States	13	311 0.9×	188 0.6×	78 0.4×	242 1.6×	102 0.7×	20	623

Countries citing papers authored by L. A. Bearup

Since Specialization

Citations

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

Fields of papers citing papers by L. A. Bearup

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. A. Bearup

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

All Works

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19 of 19 papers shown

Gangopadhyay, Subhrendu, et al.. (2025). wxgenR: An R package for stochastic weather generation with seasonality. SoftwareX. 31. 102209–102209.

Bearup, L. A., et al.. (2023). Stakeholder-Informed Hydroclimate Scenario Modeling in the Lower Santa Cruz River Basin for Water Resource Management. Water. 15(10). 1884–1884. 5 indexed citations

Leonarduzzi, Elena, Hoang Tran, L. A. Bearup, et al.. (2022). Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate. Frontiers in Water. 4. 9 indexed citations

Miller, Olivia, Matthew P. Miller, J. R. Alder, et al.. (2021). How Will Baseflow Respond to Climate Change in the Upper Colorado River Basin?. Geophysical Research Letters. 48(22). 36 indexed citations

Wood, Andrew W., Naoki Mizukami, Martyn Clark, et al.. (2020). A new SUMMA and MizuRoute hydrologic modeling resource for US water applications. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Gangopadhyay, Subhrendu, et al.. (2019). A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Bearup, L. A., et al.. (2019). Sensitivity and model reduction of simulated snow processes: Contrasting observational and parameter uncertainty to improve prediction. Advances in Water Resources. 135. 103473–103473. 20 indexed citations

Maxwell, R. M., et al.. (2018). Forest Disturbance Feedbacks From Bedrock to Atmosphere Using Coupled Hydrometeorological Simulations Over the Rocky Mountain Headwaters. Journal of Geophysical Research Atmospheres. 123(17). 9026–9046. 6 indexed citations

Maxwell, R. M., Laura E. Condon, Mohammad Danesh‐Yazdi, & L. A. Bearup. (2018). Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach. Ecohydrology. 12(1). 43 indexed citations

10.

Carroll, Rosemary, et al.. (2018). Factors controlling seasonal groundwater and solute flux from snow‐dominated basins. Hydrological Processes. 32(14). 2187–2202. 77 indexed citations

11.

Bearup, L. A., et al.. (2016). Numerical experiments to explain multiscale hydrological responses to mountain pine beetle tree mortality in a headwater watershed. Water Resources Research. 52(4). 3143–3161. 34 indexed citations

12.

Bearup, L. A., R. M. Maxwell, & John E. McCray. (2016). Hillslope response to insect‐induced land‐cover change: an integrated model of end‐member mixing. Ecohydrology. 9(2). 195–203. 17 indexed citations

13.

Bearup, L. A., et al.. (2016). Contrasting the hydrologic response due to land cover and climate change in a mountain headwaters system. Ecohydrology. 9(8). 1431–1438. 30 indexed citations

14.

Bearup, L. A., et al.. (2016). Energy budget increases reduce mean streamflow more than snow–rain transitions: using integrated modeling to isolate climate change impacts on Rocky Mountain hydrology. Environmental Research Letters. 11(4). 44015–44015. 57 indexed citations

15.

Bearup, L. A., Kristin M. Mikkelson, Alexis Navarre‐Sitchler, et al.. (2014). Metal fate and partitioning in soils under bark beetle-killed trees. The Science of The Total Environment. 496. 348–357. 12 indexed citations

16.

Bearup, L. A., R. M. Maxwell, David W. Clow, & John E. McCray. (2014). Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds. Nature Climate Change. 4(6). 481–486. 126 indexed citations

17.

Mikkelson, Kristin M., L. A. Bearup, Alexis Navarre‐Sitchler, John E. McCray, & Jonathan O. Sharp. (2014). Changes in metal mobility associated with bark beetle-induced tree mortality. Environmental Science Processes & Impacts. 16(6). 1318–1327. 5 indexed citations

18.

Mikkelson, Kristin M., L. A. Bearup, R. M. Maxwell, et al.. (2013). Bark beetle infestation impacts on nutrient cycling, water quality and interdependent hydrological effects. Biogeochemistry. 115(1-3). 1–21. 131 indexed citations

19.

Bearup, L. A., Alexis Navarre‐Sitchler, R. M. Maxwell, & John E. McCray. (2012). Kinetic Metal Release from Competing Processes in Aquifers. Environmental Science & Technology. 46(12). 6539–6547. 26 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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