Stuart S. Schwartz

949 total citations
24 papers, 713 citations indexed

About

Stuart S. Schwartz is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Stuart S. Schwartz has authored 24 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 9 papers in Water Science and Technology and 9 papers in Global and Planetary Change. Recurrent topics in Stuart S. Schwartz's work include Hydrology and Watershed Management Studies (8 papers), Urban Stormwater Management Solutions (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Stuart S. Schwartz is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Urban Stormwater Management Solutions (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Stuart S. Schwartz collaborates with scholars based in United States. Stuart S. Schwartz's co-authors include A. Allen Bradley, Suzanne B. Cassidy, Tempei Hashino, Chanin Limwongse, John T. Boyle, Karen D. Tsuchiya, Georgia L. Wiesner, Nathaniel H. Robin, Mohamed A. Habib and Maureen Bocian and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

Stuart S. Schwartz

24 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stuart S. Schwartz United States 16 315 256 174 158 137 24 713
Md. Fazlul Karim Japan 16 351 1.1× 98 0.4× 47 0.3× 300 1.9× 49 0.4× 44 1.1k
Małgorzata Szwed Poland 18 864 2.7× 506 2.0× 115 0.7× 255 1.6× 22 0.2× 38 1.4k
Anthony M. DeAngelis United States 22 826 2.6× 157 0.6× 57 0.3× 568 3.6× 40 0.3× 47 1.5k
Yan Bai China 14 252 0.8× 110 0.4× 36 0.2× 117 0.7× 35 0.3× 50 664
Lingling Zhu China 14 197 0.6× 283 1.1× 54 0.3× 24 0.2× 46 0.3× 56 800
Thomas J. Jackson United Kingdom 14 301 1.0× 51 0.2× 427 2.5× 280 1.8× 23 0.2× 20 1.6k
Ibón Tamayo Spain 17 149 0.5× 87 0.3× 45 0.3× 40 0.3× 42 0.3× 51 864
Judy King United States 14 97 0.3× 130 0.5× 94 0.5× 33 0.2× 42 0.3× 26 499
Ian Phillips United Kingdom 19 256 0.8× 112 0.4× 19 0.1× 142 0.9× 60 0.4× 67 1.1k
Zhaoyang Zeng China 19 1.0k 3.3× 438 1.7× 200 1.1× 361 2.3× 8 0.1× 39 1.8k

Countries citing papers authored by Stuart S. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Stuart S. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart S. Schwartz. 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 Stuart S. Schwartz. The network helps show where Stuart S. Schwartz may publish in the future.

Co-authorship network of co-authors of Stuart S. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart S. Schwartz. A scholar is included among the top collaborators of Stuart S. Schwartz 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 Stuart S. Schwartz. Stuart S. Schwartz 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.
Schwartz, Stuart S., et al.. (2020). Cultivating Stormwater Services with Soil Decompaction and Amendment. Journal of Hydrologic Engineering. 26(1). 2 indexed citations
2.
Schwartz, Stuart S., et al.. (2016). Automating Recession Curve Displacement Recharge Estimation. Ground Water. 55(1). 81–87. 4 indexed citations
3.
Schwartz, Stuart S., et al.. (2016). Restoring hydrologic function in urban landscapes with suburban subsoiling. Journal of Hydrology. 543. 770–781. 19 indexed citations
4.
Bradley, A. Allen, Mohamed A. Habib, & Stuart S. Schwartz. (2015). Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach. Water Resources Research. 51(9). 7382–7400. 24 indexed citations
5.
Tang, Junmei, Fang Chen, & Stuart S. Schwartz. (2012). Assessing spatiotemporal variations of greenness in the Baltimore–Washington corridor area. Landscape and Urban Planning. 105(3). 296–306. 15 indexed citations
6.
Schwartz, Stuart S.. (2009). Optimization and Decision Heuristics for Chesapeake Bay Nutrient Reduction Strategies. Environmental Modeling & Assessment. 15(5). 345–359. 10 indexed citations
7.
Bradley, A. Allen, Stuart S. Schwartz, & Tempei Hashino. (2008). Sampling Uncertainty and Confidence Intervals for the Brier Score and Brier Skill Score. Weather and Forecasting. 23(5). 992–1006. 69 indexed citations
8.
Bradley, A. Allen, et al.. (2007). Evaluation of bias-correction methods for ensemble streamflow volume forecasts. Hydrology and earth system sciences. 11(2). 939–950. 147 indexed citations
9.
Bradley, Andrew P., Stuart S. Schwartz, & A. Krüger. (2006). Interpretation of Summary Verification Measures for Ensemble Forecasts. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
10.
Simon, D., et al.. (2006). Optimal Filtering Techniques for Analytical Streamflow Forecasting. EngagedScholarship @ Cleveland State University (Cleveland State University). 130–135. 1 indexed citations
11.
Bradley, A. Allen, Stuart S. Schwartz, & Tempei Hashino. (2004). Distributions-Oriented Verification of Ensemble Streamflow Predictions. Journal of Hydrometeorology. 5(3). 532–545. 36 indexed citations
12.
Bradley, A. Allen, Tempei Hashino, & Stuart S. Schwartz. (2003). Distributions-Oriented Verification of Probability Forecasts for Small Data Samples. Weather and Forecasting. 18(5). 903–917. 25 indexed citations
13.
Schwartz, Stuart S.. (2000). Multiobjective Management of Potomac River Consumptive Use. Journal of Water Resources Planning and Management. 126(5). 277–287. 6 indexed citations
14.
Cassidy, Suzanne B., et al.. (1999). Molecular refinement of Karyotype: Beyond the cytogenetic band. Genetics in Medicine. 1(6). 254–261. 2 indexed citations
15.
Limwongse, Chanin, Stuart S. Schwartz, Maureen Bocian, & Nathaniel H. Robin. (1999). Child with mosaic variegated aneuploidy and embryonal rhabdomyosarcoma. American Journal of Medical Genetics. 82(1). 20–24. 30 indexed citations
16.
Wolf, Nancy G., et al.. (1999). Analysis of ovarian borderline tumors using comparative genomic hybridization and fluorescence in situ hybridization. Genes Chromosomes and Cancer. 25(4). 307–315. 37 indexed citations
17.
Schwartz, Stuart S. & Daniel Q. Naiman. (1999). Bias and variance of planning level estimates of pollutant loads. Water Resources Research. 35(11). 3475–3487. 16 indexed citations
18.
Tsuchiya, Karen D., Georgia L. Wiesner, Suzanne B. Cassidy, et al.. (1998). Deletion 10q23.2-q23.33 in a patient with gastrointestinal juvenile polyposis and other features of a Cowden-like syndrome. Genes Chromosomes and Cancer. 21(2). 113–118. 52 indexed citations
19.
Cassidy, Suzanne B. & Stuart S. Schwartz. (1998). Prader-Willi and Angelman Syndromes: Disorders of Genomic Imprinting. Medicine. 77(2). 140–151. 97 indexed citations
20.
Schwartz, Stuart S.. (1989). Non-structural Hedging in Multipurpose Reservoir Operation. 580–583. 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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