Todd C. Rasmussen

2.5k total citations
75 papers, 1.7k citations indexed

About

Todd C. Rasmussen is a scholar working on Environmental Engineering, Water Science and Technology and Ecology. According to data from OpenAlex, Todd C. Rasmussen has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 26 papers in Water Science and Technology and 15 papers in Ecology. Recurrent topics in Todd C. Rasmussen's work include Groundwater flow and contamination studies (33 papers), Hydrology and Watershed Management Studies (17 papers) and Hydrology and Sediment Transport Processes (12 papers). Todd C. Rasmussen is often cited by papers focused on Groundwater flow and contamination studies (33 papers), Hydrology and Watershed Management Studies (17 papers) and Hydrology and Sediment Transport Processes (12 papers). Todd C. Rasmussen collaborates with scholars based in United States, China and Australia. Todd C. Rasmussen's co-authors include John F. Dowd, E. W. Tollner, Michael H. Young, Daniel D. Evans, C. Rhett Jackson, Herbert Ssegane, Yusuf M. Mohamoud, Steven C. McCutcheon, Wayne T. Swank and John L. Campbell and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Todd C. Rasmussen

72 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
Todd C. Rasmussen United States 21 1.0k 546 452 243 214 75 1.7k
Aly I. El‐Kadi United States 23 756 0.7× 466 0.9× 368 0.8× 128 0.5× 288 1.3× 84 1.5k
Joseph D. Hughes United States 19 864 0.8× 582 1.1× 247 0.5× 159 0.7× 191 0.9× 59 1.4k
Greg Pohll United States 21 766 0.7× 500 0.9× 258 0.6× 91 0.4× 239 1.1× 46 1.2k
Antonis D. Koussis Greece 24 830 0.8× 764 1.4× 489 1.1× 104 0.4× 325 1.5× 90 1.6k
Wenke Wang China 24 688 0.7× 473 0.9× 391 0.9× 132 0.5× 341 1.6× 78 1.5k
Sorab Panday United States 21 1.4k 1.4× 1.1k 1.9× 378 0.8× 152 0.6× 508 2.4× 51 2.2k
Xunhong Chen United States 30 1.6k 1.5× 1.2k 2.2× 369 0.8× 259 1.1× 519 2.4× 89 2.4k
Li Wan China 25 931 0.9× 329 0.6× 188 0.4× 376 1.5× 329 1.5× 92 1.7k
M. S. Mohan Kumar India 23 654 0.6× 388 0.7× 208 0.5× 221 0.9× 394 1.8× 81 1.6k
Serge Brouyère Belgium 25 1.0k 1.0× 707 1.3× 399 0.9× 339 1.4× 237 1.1× 127 2.1k

Countries citing papers authored by Todd C. Rasmussen

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. Rasmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd C. Rasmussen

This figure shows the co-authorship network connecting the top 25 collaborators of Todd C. Rasmussen. A scholar is included among the top collaborators of Todd C. Rasmussen 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 C. Rasmussen. Todd C. Rasmussen 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.
Rasmussen, Todd C., et al.. (2024). Technical note: Removing dynamic sea-level influences from groundwater-level measurements. Hydrology and earth system sciences. 28(12). 2767–2784. 1 indexed citations
3.
Jackson, C. Rhett, Seth J. Wenger, Brian P. Bledsoe, et al.. (2023). Water supply, waste assimilation, and low‐flow issues facing the Southeast Piedmont Interstate‐85 urban archipelago. JAWRA Journal of the American Water Resources Association. 59(5). 1146–1161. 2 indexed citations
4.
Milewski, A., Matthew B. Thomas, Wondwosen M. Seyoum, & Todd C. Rasmussen. (2019). Spatial Downscaling of GRACE TWSA Data to Identify Spatiotemporal Groundwater Level Trends in the Upper Floridan Aquifer, Georgia, USA. Remote Sensing. 11(23). 2756–2756. 48 indexed citations
5.
Hepinstall‐Cymerman, Jeffrey, et al.. (2012). Spatial modeling of potential hydrologic connectivity among isolated wetlands and jurisdictional surface waters for the Dougherty Plain in southwestern Georgia. AGUFM. 2012. 1 indexed citations
6.
Ssegane, Herbert, E. W. Tollner, Yusuf M. Mohamoud, Todd C. Rasmussen, & John F. Dowd. (2012). Advances in variable selection methods II: Effect of variable selection method on classification of hydrologically similar watersheds in three Mid-Atlantic ecoregions. Journal of Hydrology. 438-439. 26–38. 42 indexed citations
7.
McCutcheon, Steven C., Todd C. Rasmussen, Richard H. Hawkins, et al.. (2011). Runoff Curve Numbers for 10 Small Forested Watersheds in the Mountains of the Eastern United States. Journal of Hydrologic Engineering. 17(11). 1188–1198. 97 indexed citations
8.
McCutcheon, Steven C., et al.. (2011). Curve Numbers for Nine Mountainous Eastern United States Watersheds: Seasonal Variation and Forest Cutting. Journal of Hydrologic Engineering. 17(11). 1199–1203. 12 indexed citations
10.
Rasmussen, Todd C., et al.. (2007). Sinusoidal Testing of Multi-Layer Aquifers. AGUFM. 2007. 1 indexed citations
11.
Rasmussen, Todd C., et al.. (2006). Removal of Barometric Pressure Effects and Earth Tides from Observed Water Levels. Ground Water. 45(1). 101–105. 68 indexed citations
12.
Young, Michael H., et al.. (2002). Optimized System to Improve Pumping Rate Stability During Aquifer Tests. Ground Water. 40(6). 629–637. 7 indexed citations
13.
Beck, M.B., Brian D. Fath, Amber Parker, et al.. (2002). Developing a Concept of Adaptive Community Learning: Case Study of a Rapidly Urbanizing Watershed. 3(4). 299–307. 21 indexed citations
14.
Rasmussen, Todd C., et al.. (2001). Water Quality Modeling in Southeastern Lake Management: A Case Study of Lake Lanier, Georgia. AGUFM. 2001. 3 indexed citations
15.
Rasmussen, Todd C., et al.. (2001). Phosphorus Cycling in Southeastern Piedmont Lakes: An Alternative Pathway. SMARTech Repository (Georgia Institute of Technology). 6 indexed citations
16.
Lewis, Alan J. & Todd C. Rasmussen. (1999). Determination of Suspended Sediment Concentrations and Particle Size Distributions Using Pressure Measurements. Journal of Environmental Quality. 28(5). 1490–1496. 16 indexed citations
17.
Bush, Parshall B., et al.. (1997). Predicting the fate of imidacloprid in a coastal plain setting using VS2DT. SMARTech Repository (Georgia Institute of Technology).
18.
Rasmussen, Todd C., et al.. (1995). Hydraulic Evidence For Vertical Flow From Okefenokee Swamp To The Underlying Floridan Aquifer In Southeast Georgia. SMARTech Repository (Georgia Institute of Technology). 2 indexed citations
19.
Davis, Donald R. & Todd C. Rasmussen. (1993). A comparison of linear regression with Clark's Method for estimating barometric efficiency of confined aquifers. Water Resources Research. 29(6). 1849–1854. 17 indexed citations
20.
Rasmussen, Todd C., et al.. (1993). Permeability of Apache Leap Tuff: Borehole and core measurements using water and air. Water Resources Research. 29(7). 1997–2006. 38 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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