Tim Bardsley

594 total citations
10 papers, 474 citations indexed

About

Tim Bardsley is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Tim Bardsley has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Water Science and Technology and 4 papers in Global and Planetary Change. Recurrent topics in Tim Bardsley's work include Cryospheric studies and observations (5 papers), Hydrology and Watershed Management Studies (4 papers) and Climate change and permafrost (2 papers). Tim Bardsley is often cited by papers focused on Cryospheric studies and observations (5 papers), Hydrology and Watershed Management Studies (4 papers) and Climate change and permafrost (2 papers). Tim Bardsley collaborates with scholars based in United States and Malawi. Tim Bardsley's co-authors include Mark Williams, P. D. Brooks, J. M. Welker, Michael H. Jones, M. V. Losleben, Timothy R. Seastedt, A. N. Parsons, J. T. Fahnestock, Marilyn D. Walker and Donald A. Walker and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Atmospheric Environment.

In The Last Decade

Tim Bardsley

10 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Bardsley United States	8	309	157	107	96	46	10	474
Tye Parzybok United States	7	207 0.7×	361 2.3×	143 1.3×	102 1.1×	13 0.3×	14	528
Sunil R. Kansakar United Kingdom	7	167 0.5×	228 1.5×	164 1.5×	51 0.5×	27 0.6×	8	383
Matthew Young United Kingdom	9	288 0.9×	347 2.2×	74 0.7×	56 0.6×	26 0.6×	19	532
Fabián Drenkhan Peru	10	207 0.7×	137 0.9×	149 1.4×	57 0.6×	34 0.7×	33	412
Isabel L. Pilotto Brazil	6	131 0.4×	366 2.3×	205 1.9×	70 0.7×	57 1.2×	8	561
Isabella Aguilera‐Betti Chile	10	158 0.5×	205 1.3×	58 0.5×	67 0.7×	19 0.4×	16	387
A. J. Wickel United States	10	84 0.3×	215 1.4×	151 1.4×	106 1.1×	38 0.8×	13	392
Per Skougaard Kaspersen Denmark	9	124 0.4×	451 2.9×	127 1.2×	160 1.7×	15 0.3×	15	572
Jianyu Fu China	15	176 0.6×	545 3.5×	299 2.8×	105 1.1×	37 0.8×	39	738

Countries citing papers authored by Tim Bardsley

Since Specialization

Citations

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

Fields of papers citing papers by Tim Bardsley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Bardsley

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

All Works

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10 of 10 papers shown

Hatchett, Benjamin J., et al.. (2022). Toward snowpack runoff decision support. iScience. 25(5). 104240–104240. 14 indexed citations

Oakley, Nina S., Forest Cannon, Jeremy T. Lancaster, et al.. (2018). Post-Fire Debris Flows in California: An Atmospheric Perspective. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

Burnham, Morey, Zhao Ma, Joanna Endter‐Wada, & Tim Bardsley. (2016). Water Management Decision Making in the Face of Multiple Forms of Uncertainty and Risk. JAWRA Journal of the American Water Resources Association. 52(6). 1366–1384. 21 indexed citations

Goharian, Erfan, Steven J. Burian, Tim Bardsley, & Courtenay Strong. (2015). Incorporating Potential Severity into Vulnerability Assessment of Water Supply Systems under Climate Change Conditions. Journal of Water Resources Planning and Management. 142(2). 56 indexed citations

DeRose, R. Justin, et al.. (2015). A millennium-length reconstruction of Bear River stream flow, Utah. Journal of Hydrology. 529. 524–534. 30 indexed citations

Bardsley, Tim, et al.. (2013). Planning for an Uncertain Future: Climate Change Sensitivity Assessment toward Adaptation Planning for Public Water Supply. Earth Interactions. 17(23). 1–26. 27 indexed citations

Molotch, N. P., et al.. (2001). A Comparison of Spatial Statistical Techniques for the Development of a Validation Data set for Mesoscale Modeling of Snow Water Equivalence. AGUFM. 2001. 2 indexed citations

Walker, Marilyn D., Donald A. Walker, J. M. Welker, et al.. (1999). Long-term experimental manipulation of winter snow regime and summer temperature in arctic and alpine tundra. Hydrological Processes. 13(14-15). 2315–2330. 240 indexed citations

Williams, Mark, et al.. (1999). Data for snowmelt model development, calibration, and verification at an Alpine Site, Colorado Front Range. Water Resources Research. 35(10). 3205–3209. 45 indexed citations

10.

Williams, Mark, et al.. (1998). Overestimation of snow depth and inorganic nitrogen wetfall using NADP data, Niwot Ridge, Colorado. Atmospheric Environment. 32(22). 3827–3833. 38 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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