Todd Redder

579 total citations
19 papers, 434 citations indexed

About

Todd Redder is a scholar working on Environmental Chemistry, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Todd Redder has authored 19 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Chemistry, 11 papers in Water Science and Technology and 5 papers in Nature and Landscape Conservation. Recurrent topics in Todd Redder's work include Soil and Water Nutrient Dynamics (15 papers), Hydrology and Watershed Management Studies (9 papers) and Fish Ecology and Management Studies (5 papers). Todd Redder is often cited by papers focused on Soil and Water Nutrient Dynamics (15 papers), Hydrology and Watershed Management Studies (9 papers) and Fish Ecology and Management Studies (5 papers). Todd Redder collaborates with scholars based in United States, Germany and Norway. Todd Redder's co-authors include Chelsie Boles, Joseph V. DePinto, Remegio Confesor, Margaret Kalcic, Rebecca Logsdon Muenich, Jay F. Martin, Donald Scavia, Noel Aloysius, John F. Bratton and Robyn S. Wilson and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Environmental Management.

In The Last Decade

Todd Redder

19 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Redder United States 10 264 213 89 79 57 19 434
Chelsie Boles United States 9 217 0.8× 216 1.0× 59 0.7× 37 0.5× 64 1.1× 13 365
Thomas E. Davenport United States 4 368 1.4× 322 1.5× 112 1.3× 80 1.0× 69 1.2× 7 559
Alena Bartošová Sweden 10 106 0.4× 174 0.8× 111 1.2× 77 1.0× 123 2.2× 28 404
Eva Skarbøvik Norway 10 185 0.7× 202 0.9× 123 1.4× 45 0.6× 57 1.0× 34 400
Anne B. Hoos United States 10 449 1.7× 494 2.3× 61 0.7× 86 1.1× 74 1.3× 26 632
Jill Kostel United States 9 213 0.8× 184 0.9× 102 1.1× 22 0.3× 68 1.2× 14 378
Dianneke van Wijk Netherlands 9 169 0.6× 154 0.7× 115 1.3× 76 1.0× 123 2.2× 18 419
Haejin Han United States 9 366 1.4× 270 1.3× 89 1.0× 66 0.8× 40 0.7× 11 470
Michael Trepel Germany 13 151 0.6× 128 0.6× 242 2.7× 47 0.6× 82 1.4× 37 437
John C. Panuska United States 11 263 1.0× 232 1.1× 130 1.5× 65 0.8× 38 0.7× 23 454

Countries citing papers authored by Todd Redder

Since Specialization
Citations

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

Fields of papers citing papers by Todd Redder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Redder

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

All Works

19 of 19 papers shown
1.
Murumkar, Asmita, Jay F. Martin, Margaret Kalcic, et al.. (2025). Advancing SWAT modeling with rainfall risk-based fertilizer timing to improve nutrient management and crop yields. Agricultural Water Management. 316. 109555–109555. 2 indexed citations
2.
Rowe, Mark D., Reza Valipour, & Todd Redder. (2023). Intercomparison of three spatially-resolved, process-based Lake Erie hypoxia models. Journal of Great Lakes Research. 49(5). 993–1003. 3 indexed citations
3.
Kalcic, Margaret, Jay F. Martin, Asmita Murumkar, et al.. (2022). Using a Multi‐Institutional Ensemble of Watershed Models to Assess Agricultural Conservation Effectiveness in a Future Climate. JAWRA Journal of the American Water Resources Association. 58(6). 1326–1340. 5 indexed citations
4.
Atkinson, Joseph F., et al.. (2022). Model development in support of the Lake Ontario Cooperative Science and Monitoring Initiative. Aquatic Ecosystem Health & Management. 25(2). 81–96. 1 indexed citations
5.
Atkinson, Joseph F., et al.. (2021). Invasive dreissenid mussel effects on phosphorus dynamics in Lake Ontario: insights from integrated hydrodynamic–ecological modeling. Canadian Journal of Fisheries and Aquatic Sciences. 78(12). 1816–1832. 4 indexed citations
6.
Martin, Jay F., Margaret Kalcic, Noel Aloysius, et al.. (2020). Evaluating management options to reduce Lake Erie algal blooms using an ensemble of watershed models. Journal of Environmental Management. 280. 111710–111710. 40 indexed citations
7.
Kalcic, Margaret, Jay F. Martin, Noel Aloysius, et al.. (2020). The hydrologic model as a source of nutrient loading uncertainty in a future climate. The Science of The Total Environment. 724. 138004–138004. 18 indexed citations
8.
Evenson, Grey R., Margaret Kalcic, Dale M. Robertson, et al.. (2020). Uncertainty in critical source area predictions from watershed-scale hydrologic models. Journal of Environmental Management. 279. 111506–111506. 32 indexed citations
9.
Wilson, Robyn S., et al.. (2018). Using models of farmer behavior to inform eutrophication policy in the Great Lakes. Water Research. 139. 38–46. 45 indexed citations
10.
Scavia, Donald, Margaret Kalcic, Rebecca Logsdon Muenich, et al.. (2017). Multiple models guide strategies for agricultural nutrient reductions. Frontiers in Ecology and the Environment. 15(3). 126–132. 120 indexed citations
11.
Redder, Todd, et al.. (2017). Water Prism: A Tool to Assess Water Availability Risk and Investigate Water Management Strategies. JAWRA Journal of the American Water Resources Association. 53(3). 605–625. 2 indexed citations
12.
Boles, Chelsie, et al.. (2017). Quantifying the Environmental Benefits of Conserving Grassland. Journal of Management and Sustainability. 7(2). 65–65. 5 indexed citations
13.
Palm‐Forster, Leah H., Scott M. Swinton, Todd Redder, Joseph V. DePinto, & Chelsie Boles. (2016). Using conservation auctions informed by environmental performance models to reduce agricultural nutrient flows into Lake Erie. Journal of Great Lakes Research. 42(6). 1357–1371. 31 indexed citations
14.
Knox, Anna Sophia, et al.. (2016). Environmental impact of ongoing sources of metal contamination on remediated sediments. The Science of The Total Environment. 563-564. 108–117. 22 indexed citations
15.
Redder, Todd, et al.. (2016). Development of the Western Lake Erie Ecosystem Model (WLEEM): Application to connect phosphorus loads to cyanobacteria biomass. Journal of Great Lakes Research. 42(6). 1193–1205. 71 indexed citations
16.
Hawley, Nathan, et al.. (2013). Sediment resuspension in Saginaw Bay. Journal of Great Lakes Research. 40. 18–27. 13 indexed citations
17.
Richter, Brian D., et al.. (2013). Corporate Water Stewardship: Achieving a Sustainable Balance. Journal of Management and Sustainability. 3(4). 8 indexed citations
18.
Canale, Raymond P., et al.. (2010). Phosphorus Budget and Remediation Plan for Big Platte Lake, Michigan. Journal of Water Resources Planning and Management. 136(5). 576–586. 10 indexed citations
19.
DePinto, Joseph V., et al.. (2009). Linked Hydrodynamic-Sediment Transport-Water Quality Model for Support of the Upper Mississippi River – Lake Pepin TMDL. Proceedings of the Water Environment Federation. 2009(6). 212–231. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026