Todd Tietjen

503 total citations
25 papers, 386 citations indexed

About

Todd Tietjen is a scholar working on Water Science and Technology, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, Todd Tietjen has authored 25 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 11 papers in Environmental Chemistry and 10 papers in Nature and Landscape Conservation. Recurrent topics in Todd Tietjen's work include Fish Ecology and Management Studies (8 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrology and Watershed Management Studies (7 papers). Todd Tietjen is often cited by papers focused on Fish Ecology and Management Studies (8 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrology and Watershed Management Studies (7 papers). Todd Tietjen collaborates with scholars based in United States, Finland and Canada. Todd Tietjen's co-authors include Robert G. Wetzel, Seiji Miyazono, L. E. Miranda, Anssi V. Vähätalo, Andrew W. Ezell, Michael S. Cox, Harold L. Schramm, Imad A. Hannoun, Alan W. Groeger and Thomas L. Arsuffi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and Microbial Ecology.

In The Last Decade

Todd Tietjen

24 papers receiving 370 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 Tietjen United States 10 167 109 99 82 53 25 386
Eric P. S. Sager Canada 10 133 0.8× 79 0.7× 71 0.7× 59 0.7× 67 1.3× 16 467
Danelle M. Larson United States 13 204 1.2× 147 1.3× 100 1.0× 93 1.1× 101 1.9× 25 377
Gad Ritvo United States 10 167 1.0× 50 0.5× 98 1.0× 40 0.5× 63 1.2× 18 475
Elisabeth Bondar‐Kunze Austria 13 223 1.3× 91 0.8× 172 1.7× 133 1.6× 68 1.3× 26 439
Ibon Aristi Spain 10 274 1.6× 171 1.6× 171 1.7× 166 2.0× 29 0.5× 14 441
Gary S. Kleppel United States 8 197 1.2× 107 1.0× 133 1.3× 177 2.2× 49 0.9× 17 435
Zebin Tian China 8 83 0.5× 73 0.7× 154 1.6× 155 1.9× 37 0.7× 16 320
Marcela Bianchessi da Cunha‐Santino Brazil 14 245 1.5× 101 0.9× 287 2.9× 122 1.5× 51 1.0× 83 599
Matthew A. Patterson United States 9 347 2.1× 213 2.0× 64 0.6× 106 1.3× 90 1.7× 9 520
J. Bittersohl Germany 8 116 0.7× 63 0.6× 170 1.7× 98 1.2× 71 1.3× 12 403

Countries citing papers authored by Todd Tietjen

Since Specialization
Citations

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

Fields of papers citing papers by Todd Tietjen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Tietjen

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Tietjen. A scholar is included among the top collaborators of Todd Tietjen 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 Tietjen. Todd Tietjen 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.
Wilkerson, Charles W., et al.. (2025). Impact of drought on de facto reuse and water quality in Lake Mead: Insights from hydrodynamic modeling versus machine learning. Environmental Modelling & Software. 193. 106649–106649.
2.
Tietjen, Todd, et al.. (2025). Recycled Water Flow Changes From the SARS‐CoV‐2 Pandemic in Southern Nevada: Forecasting Improvements and Hydrodynamic Modeling. JAWRA Journal of the American Water Resources Association. 61(2). 2 indexed citations
3.
Tietjen, Todd, et al.. (2024). Stable phytoplankton community compositions in Lake Mead (Nevada-Arizona, USA) during two decades of severe drought. Environmental Science and Ecotechnology. 23. 100491–100491. 1 indexed citations
4.
Tietjen, Todd, et al.. (2022). The Influence and Implications of Climate Change on Water Quality in a Large Water Reservoir in the Southwest, USA. American Journal of Climate Change. 11(3). 197–229. 5 indexed citations
5.
6.
Tietjen, Todd, et al.. (2022). Lake management under severe drought: Lake Mead, Nevada/Arizona. JAWRA Journal of the American Water Resources Association. 59(2). 416–428. 18 indexed citations
7.
Kaminski, Richard M., et al.. (2015). Species richness and density of wintering ducks on wetlands reserve program easements in Mississippi. SHILAP Revista de lepidopterología. 39(2). 310–318. 9 indexed citations
8.
Hannoun, Imad A., et al.. (2014). Three-dimensional management model for Lake Mead, Nevada, Part 1: Model calibration and validation. Lake and Reservoir Management. 30(3). 285–302. 11 indexed citations
9.
Ding, Li, et al.. (2014). Development of a phosphorus budget for Lake Mead. Lake and Reservoir Management. 30(2). 143–156. 8 indexed citations
10.
Tietjen, Todd, G. Chris Holdren, Michael R. Rosen, et al.. (2012). Lake water quality: Chapter 4 in <i>A synthesis of aquatic science for management of Lakes Mead and Mohave</i>. U.S. Geological Survey circular. 35–68. 1 indexed citations
11.
Kaminski, Richard M., et al.. (2012). Vegetative Forage Quality and Moist-soil Management on Wetlands Reserve Program Lands in Mississippi. Wetlands. 32(5). 919–929. 17 indexed citations
12.
13.
Tietjen, Todd & G. Chris Holdren. (2010). Lake Mead limnology and ecosystem management: Preface. Lake and Reservoir Management. 26(4). 229–229. 1 indexed citations
14.
Miyazono, Seiji, et al.. (2010). Assemblage patterns of fish functional groups relative to habitat connectivity and conditions in floodplain lakes. Ecology Of Freshwater Fish. 19(4). 578–585. 50 indexed citations
15.
Beaver, John R., et al.. (2010). Persistence ofDaphniain the epilimnion of Lake Mead, Arizona–Nevada, during extreme drought and expansion of invasive quagga mussels (2000–2009). Lake and Reservoir Management. 26(4). 273–282. 12 indexed citations
16.
Schramm, Harold L., Michael S. Cox, Todd Tietjen, & Andrew W. Ezell. (2009). Nutrient dynamics in the lower Mississippi River floodplain: Comparing present and historic hydrologic conditions. Wetlands. 29(2). 476–487. 41 indexed citations
17.
Tietjen, Todd, Anssi V. Vähätalo, & Robert G. Wetzel. (2005). Effects of clay mineral turbidity on dissolved organic carbon and bacterial production. Aquatic Sciences. 67(1). 51–60. 34 indexed citations
18.
Tietjen, Todd. (2003). Seasonal and spatial distribution of bacterial biomass and the percentage of viable cells in a reservoir of Alabama. Journal of Plankton Research. 25(12). 1521–1534. 4 indexed citations
19.
Tietjen, Todd, et al.. (2003). Detritus Processing and Microbial Dynamics of an Aquatic Macrophyte and Terrestrial Leaf in a Thermally Constant, Spring-Fed Stream. Microbial Ecology. 45(4). 411–418. 21 indexed citations
20.
Tietjen, Todd & Robert G. Wetzel. (2003). Extracellular enzyme-clay mineral complexes: Enzyme adsorption, alteration of enzyme activity, and protection from photodegradation. Aquatic Ecology. 37(4). 331–339. 105 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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