Stephen D. Preston

981 total citations
20 papers, 579 citations indexed

About

Stephen D. Preston is a scholar working on Water Science and Technology, Environmental Chemistry and Geochemistry and Petrology. According to data from OpenAlex, Stephen D. Preston has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 13 papers in Environmental Chemistry and 5 papers in Geochemistry and Petrology. Recurrent topics in Stephen D. Preston's work include Soil and Water Nutrient Dynamics (13 papers), Hydrology and Watershed Management Studies (12 papers) and Water Quality and Resources Studies (7 papers). Stephen D. Preston is often cited by papers focused on Soil and Water Nutrient Dynamics (13 papers), Hydrology and Watershed Management Studies (12 papers) and Water Quality and Resources Studies (7 papers). Stephen D. Preston collaborates with scholars based in United States and Australia. Stephen D. Preston's co-authors include Victor J. Bierman, Richard B. Alexander, Gregory E. Schwarz, Charles G. Crawford, John W. Brakebill, David J. Holtschlag, Robert M. Hirsch, Aldo V. Vecchia, Casey J. Lee and Michael D. Woodside and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Environmental Monitoring and Assessment.

In The Last Decade

Stephen D. Preston

19 papers receiving 507 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen D. Preston 434 404 107 92 86 20 579
Anne B. Hoos 494 1.1× 449 1.1× 105 1.0× 86 0.9× 61 0.7× 26 632
Florence Curie 464 1.1× 455 1.1× 123 1.1× 170 1.8× 170 2.0× 21 714
Thomas E. Davenport 322 0.7× 368 0.9× 76 0.7× 80 0.9× 112 1.3× 7 559
Haejin Han 270 0.6× 366 0.9× 40 0.4× 66 0.7× 89 1.0× 11 470
Erin Seybold 281 0.6× 326 0.8× 92 0.9× 120 1.3× 198 2.3× 27 581
Jeffrey G. Chanat 281 0.6× 229 0.6× 104 1.0× 73 0.8× 69 0.8× 21 405
Dylan S. Ahearn 477 1.1× 299 0.7× 156 1.5× 175 1.9× 237 2.8× 9 703
D. Byrnes 284 0.7× 329 0.8× 73 0.7× 57 0.6× 143 1.7× 7 563
Leah Jackson‐Blake 271 0.6× 327 0.8× 90 0.8× 74 0.8× 144 1.7× 27 651
Lan Fu 438 1.0× 209 0.5× 124 1.2× 116 1.3× 178 2.1× 9 656

Countries citing papers authored by Stephen D. Preston

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Preston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen D. Preston

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Preston. A scholar is included among the top collaborators of Stephen D. Preston 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 D. Preston. Stephen D. Preston 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.
2.
Stewart, Jana S., Gregory E. Schwarz, John W. Brakebill, & Stephen D. Preston. (2019). Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012. Scientific investigations report. 8 indexed citations
3.
Smith, Rachael A., Richard Gardiner, Scott Wallace, et al.. (2018). Total suspended solids, nutrient and pesticide loads (2015–2016) for rivers that discharge to the Great Barrier Reef – Great Barrier Reef Catchment Loads Monitoring Program.. 33 indexed citations
4.
Lee, Casey J., Robert M. Hirsch, Gregory E. Schwarz, et al.. (2016). An evaluation of methods for estimating decadal stream loads. Journal of Hydrology. 542. 185–203. 88 indexed citations
5.
Preston, Stephen D.. (2015). Remarks by Stephen Preston. Proceedings of the ASIL Annual Meeting. 109. 331–340. 1 indexed citations
6.
Schwarz, Gregory E., Richard B. Alexander, Richard A. Smith, & Stephen D. Preston. (2011). The Regionalization of National-Scale SPARROW Models for Stream Nutrients1. JAWRA Journal of the American Water Resources Association. 47(5). 1151–1172. 19 indexed citations
7.
Preston, Stephen D., Richard B. Alexander, Gregory E. Schwarz, & Charles G. Crawford. (2011). Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1. JAWRA Journal of the American Water Resources Association. 47(5). 891–915. 93 indexed citations
8.
Preston, Stephen D., Richard B. Alexander, & David M. Wolock. (2011). Sparrow Modeling to Understand Water-Quality Conditions in Major Regions of the United States: A Featured Collection Introduction1. JAWRA Journal of the American Water Resources Association. 47(5). 887–890. 33 indexed citations
9.
Preston, Stephen D., Richard B. Alexander, & Michael D. Woodside. (2011). Regional assessments of the Nation's water quality—Improved understanding of stream nutrient sources through enhanced modeling capabilities. Fact sheet. 1–6. 4 indexed citations
10.
Preston, Stephen D., Richard B. Alexander, Michael D. Woodside, & Pixie A. Hamilton. (2009). SPARROW MODELING - Enhancing Understanding of the Nation's Water Quality. Fact sheet. 44 indexed citations
11.
Phillips, Scott, Bruce D. Lindsey, Stephen D. Preston, et al.. (2006). The Influence of Ground Water and Watershed Processes on Nutrient Delivery to the Chesapeake Bay.. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
12.
Brakebill, John W. & Stephen D. Preston. (2004). Digital data used to relate nutrient inputs to water quality in the Chesapeake Bay watershed, version 3.0. Antarctica A Keystone in a Changing World. 15 indexed citations
13.
Brakebill, John W. & Stephen D. Preston. (2003). A Hydrologic Network Supporting Spatially Referenced Regression Modeling in the Chesapeake Bay Watershed. Environmental Monitoring and Assessment. 81(1-3). 73–84. 11 indexed citations
14.
Brakebill, John W., et al.. (2002). Digital Data Used to Relate Nutrient Inputs to Water Quality in the Chesapeake Bay Watershed, Version 2.0. 2 indexed citations
15.
Brakebill, John W., et al.. (2001). Digital data used to relate nutrient input to water quality in the Chesapeake Bay watershed. Antarctica A Keystone in a Changing World. 5 indexed citations
16.
Brakebill, John W. & Stephen D. Preston. (1999). Digital data used to relate nutrient inputs to water quality in the Chesapeake Bay watershed. Antarctica A Keystone in a Changing World. 13 indexed citations
17.
18.
Preston, Stephen D., Victor J. Bierman, & Stephen E. Silliman. (1992). Impact of Flow Variability on Error in Estimation of Tributary Mass Loads. Journal of Environmental Engineering. 118(3). 402–419. 21 indexed citations
19.
Preston, Stephen D., et al.. (1989). An evaluation of methods for the estimation of tributary mass loads. Water Resources Research. 25(6). 1379–1389. 174 indexed citations
20.
Bierman, Victor J., Stephen D. Preston, & Stephen E. Silliman. (1988). Development Of Estimation Methods For Tributary Loading Rates Of Toxic Chemicals. 5 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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