Stephen B. Shaw

2.1k total citations
54 papers, 1.7k citations indexed

About

Stephen B. Shaw is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Stephen B. Shaw has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Water Science and Technology, 29 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Stephen B. Shaw's work include Hydrology and Watershed Management Studies (30 papers), Flood Risk Assessment and Management (13 papers) and Hydrology and Drought Analysis (9 papers). Stephen B. Shaw is often cited by papers focused on Hydrology and Watershed Management Studies (30 papers), Flood Risk Assessment and Management (13 papers) and Hydrology and Drought Analysis (9 papers). Stephen B. Shaw collaborates with scholars based in United States, Canada and South Korea. Stephen B. Shaw's co-authors include Susan J. Riha, M. Todd Walter, Lindi J. Quackenbush, Nishan Bhattarai, Jungho Im, Rewati Niraula, Jeff Melkonian, Tammo S. Steenhuis, Elizabeth Carter and Haifa Tamiminia and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Stephen B. Shaw

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen B. Shaw United States 24 1000 875 437 301 267 54 1.7k
Jianhua Wang China 23 579 0.6× 637 0.7× 232 0.5× 184 0.6× 216 0.8× 63 1.4k
Scott N. Miller United States 24 980 1.0× 959 1.1× 413 0.9× 601 2.0× 278 1.0× 70 2.1k
L. Franchistéguy France 13 1.2k 1.2× 745 0.9× 394 0.9× 211 0.7× 619 2.3× 19 1.8k
Ana Paula Martins do Amaral Cunha Brazil 22 1.6k 1.6× 703 0.8× 305 0.7× 679 2.3× 415 1.6× 53 2.6k
Daniel R. Fuka United States 21 828 0.8× 1.3k 1.5× 481 1.1× 218 0.7× 268 1.0× 38 1.8k
Soni M. Pradhanang United States 20 593 0.6× 716 0.8× 271 0.6× 150 0.5× 363 1.4× 55 1.3k
Stephan Thober Germany 25 1.8k 1.8× 1.3k 1.5× 601 1.4× 172 0.6× 546 2.0× 60 2.5k
Zhenghua Hu China 24 936 0.9× 270 0.3× 165 0.4× 319 1.1× 315 1.2× 89 1.7k
Marcelo Zeri Brazil 25 1.3k 1.3× 434 0.5× 323 0.7× 440 1.5× 420 1.6× 56 2.2k
Regina C. S. Álvala Brazil 17 885 0.9× 367 0.4× 196 0.4× 406 1.3× 332 1.2× 21 1.5k

Countries citing papers authored by Stephen B. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Stephen B. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen B. Shaw. 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 Stephen B. Shaw. The network helps show where Stephen B. Shaw may publish in the future.

Co-authorship network of co-authors of Stephen B. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen B. Shaw. A scholar is included among the top collaborators of Stephen B. Shaw 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 Stephen B. Shaw. Stephen B. Shaw 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.
Leonard, Kelsey, Stephen B. Shaw, Abraham Francis, et al.. (2024). New York State Climate Impacts Assessment Chapter 10: Water Resources. Annals of the New York Academy of Sciences. 1542(1). 561–619. 6 indexed citations
2.
Kelleher, Christa, et al.. (2023). Impacts of a beaver dam analogue complex on streambed vertical hydraulic gradients in a 1.2‐km stream reach in Wyoming, USA. Hydrological Processes. 37(6). 2 indexed citations
3.
Kelleher, Christa, et al.. (2023). GEOMORPHOLOGICAL AND VEGETATION CHANGES AROUND BEAVER DAM ANALOGUES, RED CANYON CREEK, WY. Abstracts with programs - Geological Society of America. 1 indexed citations
4.
Shaw, Stephen B., et al.. (2023). Using records of well completions to assess vulnerability of domestic wells in the Northeast U.S. to drought. Climatic Change. 176(7). 2 indexed citations
5.
Stella, John C., et al.. (2023). Analyzing the impact of agricultural BMPs on stream nutrient load and biotic health in the Susquehanna-Chemung basin of New York. Journal of Environmental Management. 335. 117521–117521. 6 indexed citations
6.
Shaw, Stephen B., et al.. (2022). A low cost, low power sap flux device for distributed and intensive monitoring of tree transpiration. HardwareX. 12. e00351–e00351. 5 indexed citations
7.
Adeli, Sarina, Bahram Salehi, Masoud Mahdianpari, et al.. (2020). Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review. Remote Sensing. 12(14). 2190–2190. 98 indexed citations
8.
Kelleher, Christa & Stephen B. Shaw. (2017). Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET. Journal of Hydrology. 557. 160–172. 7 indexed citations
9.
Shaw, Stephen B.. (2017). Does an upper limit to river water temperature apply in all places?. Hydrological Processes. 31(21). 3729–3739. 2 indexed citations
10.
Gutchess, Kristina M., Li Jin, Laura K. Lautz, et al.. (2016). Chloride sources in urban and rural headwater catchments, central New York. The Science of The Total Environment. 565. 462–472. 38 indexed citations
11.
Shaw, Stephen B., et al.. (2014). Improving risk estimates of runoff producing areas: Formulating variable source areas as a bivariate process. Journal of Environmental Management. 137. 146–156. 13 indexed citations
12.
Shaw, Stephen B., et al.. (2014). Longitudinal study of the impacts of land cover change on hydrologic response in four mesoscale watersheds in New York State, USA. Journal of Hydrology. 519. 12–22. 18 indexed citations
13.
Shaw, Stephen B. & M. Todd Walter. (2012). Using comparative analysis to teach about the nature of nonstationarity in future flood predictions. Hydrology and earth system sciences. 16(5). 1269–1279. 9 indexed citations
14.
Shaw, Stephen B. & David A. Eckhardt. (2012). An Assessment of Radon in Groundwater in New York State. Health Physics. 103(3). 311–316. 9 indexed citations
15.
16.
Shaw, Stephen B., Rebecca D. Marjerison, David R. Bouldin, J.‐Y. Parlange, & M. Todd Walter. (2011). Simple Model of Changes in Stream Chloride Levels Attributable to Road Salt Applications. Journal of Environmental Engineering. 138(1). 112–118. 23 indexed citations
17.
Porcelli, Don, Stanislav Strekopytov, Stephen B. Shaw, et al.. (2009). Isotopic and Experimental Constraints on Subsurface U Transport and Fate. EGU General Assembly Conference Abstracts. 8645. 1 indexed citations
18.
Shaw, Stephen B., et al.. (2008). Grouping like catchments: A novel means to compare 40+ watersheds in the Northeastern U.S.. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
19.
20.
Hanna, Dalal E.L., et al.. (1994). Nutrient, Solute and Water Distribution in an Australian Native Hardwoods Plantation Irrigated with Reclaimed Water from Bolivar Sewage Treatment Works. 121. 1 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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