T. Pruitt

1.6k total citations
25 papers, 1.2k citations indexed

About

T. Pruitt is a scholar working on Global and Planetary Change, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, T. Pruitt has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 5 papers in Geochemistry and Petrology. Recurrent topics in T. Pruitt's work include Hydrology and Watershed Management Studies (22 papers), Climate variability and models (19 papers) and Hydrology and Drought Analysis (10 papers). T. Pruitt is often cited by papers focused on Hydrology and Watershed Management Studies (22 papers), Climate variability and models (19 papers) and Hydrology and Drought Analysis (10 papers). T. Pruitt collaborates with scholars based in United States. T. Pruitt's co-authors include L. D. Brekke, Edwin P. Maurer, Philip B. Duffy, Subhrendu Gangopadhyay, D. A. Raff, Martyn Clark, J. R. Arnold, Michael D. Dettinger, Fred D. Tillman and Laura E. Condon and has published in prestigious journals such as Scientific Reports, Water Resources Research and Geophysical Research Letters.

In The Last Decade

T. Pruitt

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Pruitt United States 14 899 714 345 148 130 25 1.2k
J. Zabalza Spain 15 856 1.0× 687 1.0× 253 0.7× 128 0.9× 180 1.4× 32 1.2k
Michael L. Anderson United States 15 530 0.6× 726 1.0× 224 0.6× 87 0.6× 214 1.6× 31 1.1k
Erika Cohen United States 18 917 1.0× 679 1.0× 241 0.7× 201 1.4× 167 1.3× 26 1.3k
Soni M. Pradhanang United States 20 593 0.7× 716 1.0× 363 1.1× 61 0.4× 150 1.2× 55 1.3k
Bruno Schädler Switzerland 15 865 1.0× 955 1.3× 662 1.9× 154 1.0× 163 1.3× 31 1.5k
Jorge Luís Gomes Brazil 13 911 1.0× 459 0.6× 427 1.2× 116 0.8× 161 1.2× 30 1.4k
Claudine Pereira Dereczynski Brazil 15 777 0.9× 395 0.6× 377 1.1× 81 0.5× 215 1.7× 42 1.2k
Diane Chaumont Canada 18 1.4k 1.5× 1.1k 1.5× 711 2.1× 94 0.6× 98 0.8× 36 1.8k
Tobias Vetter Germany 18 1.3k 1.4× 1.1k 1.5× 316 0.9× 100 0.7× 137 1.1× 25 1.7k
Charles Morton United States 17 948 1.1× 381 0.5× 178 0.5× 58 0.4× 314 2.4× 25 1.3k

Countries citing papers authored by T. Pruitt

Since Specialization
Citations

This map shows the geographic impact of T. Pruitt'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 T. Pruitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Pruitt more than expected).

Fields of papers citing papers by T. Pruitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Pruitt

This figure shows the co-authorship network connecting the top 25 collaborators of T. Pruitt. A scholar is included among the top collaborators of T. Pruitt 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 T. Pruitt. T. Pruitt 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.
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
2.
Tillman, Fred D., Subhrendu Gangopadhyay, & T. Pruitt. (2020). Trends in recent historical and projected climate data for the Colorado River Basin and potential effects on groundwater availability. Scientific investigations report. 12 indexed citations
3.
Tillman, Fred D., Subhrendu Gangopadhyay, & T. Pruitt. (2020). Recent and projected precipitation and temperature changes in the Grand Canyon area with implications for groundwater resources. Scientific Reports. 10(1). 19740–19740. 15 indexed citations
4.
Rajagopalan, Balaji, et al.. (2020). 21st Century flood risk projections at select sites for the U.S. National Park Service. Climate Risk Management. 28. 100211–100211. 3 indexed citations
5.
6.
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
7.
Tillman, Fred D., T. Pruitt, & Subhrendu Gangopadhyay. (2018). Effect of spatial and temporal scale on simulated groundwater recharge investigations. Advances in Water Resources. 119. 257–270. 5 indexed citations
8.
Tillman, Fred D., Subhrendu Gangopadhyay, & T. Pruitt. (2017). Changes in Projected Spatial and Seasonal Groundwater Recharge in the Upper Colorado River Basin. Ground Water. 55(4). 506–518. 10 indexed citations
9.
Condon, Laura E., Subhrendu Gangopadhyay, & T. Pruitt. (2015). Climate change and non-stationary flood risk for the upper Truckee River basin. Hydrology and earth system sciences. 19(1). 159–175. 79 indexed citations
10.
Gutmann, E. D., T. Pruitt, Martyn Clark, et al.. (2014). An intercomparison of statistical downscaling methods used for water resource assessments in the United States. Water Resources Research. 50(9). 7167–7186. 170 indexed citations
11.
Elsner, Marketa M., Subhrendu Gangopadhyay, T. Pruitt, et al.. (2014). How Does the Choice of Distributed Meteorological Data Affect Hydrologic Model Calibration and Streamflow Simulations?. Journal of Hydrometeorology. 15(4). 1384–1403. 44 indexed citations
12.
Miller, W. P., Thomas C. Piechota, Subhrendu Gangopadhyay, & T. Pruitt. (2011). Development of streamflow projections under changing climate conditions over Colorado River basin headwaters. Hydrology and earth system sciences. 15(7). 2145–2164. 24 indexed citations
13.
Gangopadhyay, Subhrendu, T. Pruitt, L. D. Brekke, & D. A. Raff. (2011). Hydrologic projections for the western United States. Eos. 92(48). 441–442. 10 indexed citations
14.
Gangopadhyay, Subhrendu & T. Pruitt. (2011). West-Wide Climate Risk Assessments: Bias-Corrected and Spatially Downscaled Surface Water Projections. 36 indexed citations
15.
Miller, W. P., Thomas C. Piechota, Subhrendu Gangopadhyay, & T. Pruitt. (2010). Development of streamflow projections under changing climate conditions over Colorado River Basin headwaters. 2 indexed citations
16.
Maurer, Edwin P., L. D. Brekke, & T. Pruitt. (2010). Contrasting Lumped and Distributed Hydrology Models for Estimating Climate Change Impacts on California Watersheds1. JAWRA Journal of the American Water Resources Association. 46(5). 1024–1035. 46 indexed citations
17.
Raff, D. A., T. Pruitt, & L. D. Brekke. (2009). A framework for assessing flood frequency based on climate projection information. Hydrology and earth system sciences. 13(11). 2119–2136. 57 indexed citations
18.
Brekke, L. D., T. Pruitt, Edwin P. Maurer, & P. Duffy. (2007). An Archive of Downscaled WCRP CMIP3 Climate Projections for Planning Applications in the Contiguous United States. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
19.
Maurer, Edwin P., L. D. Brekke, T. Pruitt, & Philip B. Duffy. (2007). Fine‐resolution climate projections enhance regional climate change impact studies. Eos. 88(47). 504–504. 401 indexed citations
20.
Pruitt, T., et al.. (1978). Recommended stream resource maintenance flows on seven southern Idaho streams.. 4 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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