Dennis Todey

970 total citations
27 papers, 633 citations indexed

About

Dennis Todey is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Soil Science. According to data from OpenAlex, Dennis Todey has authored 27 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Global and Planetary Change and 7 papers in Soil Science. Recurrent topics in Dennis Todey's work include Climate change impacts on agriculture (9 papers), Hydrology and Watershed Management Studies (5 papers) and Climate variability and models (5 papers). Dennis Todey is often cited by papers focused on Climate change impacts on agriculture (9 papers), Hydrology and Watershed Management Studies (5 papers) and Climate variability and models (5 papers). Dennis Todey collaborates with scholars based in United States, Chile and Germany. Dennis Todey's co-authors include Tonya Haigh, Linda S. Prokopy, Amber Saylor Mase, Maria Carmen Lemos, Cody Knutson, J. Stuart Carlton, R. E. Carlson, S. Elwynn Taylor, Lois Wright Morton and Raymond W. Arritt and has published in prestigious journals such as Monthly Weather Review, Energy and Buildings and Bulletin of the American Meteorological Society.

In The Last Decade

Dennis Todey

25 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis Todey United States 12 265 172 149 106 104 27 633
Bjarne Fog Denmark 13 231 0.9× 97 0.6× 76 0.5× 92 0.9× 85 0.8× 19 579
Spyridon Paparrizos Netherlands 13 295 1.1× 147 0.9× 91 0.6× 88 0.8× 52 0.5× 40 504
Anusheema Chakraborty India 12 299 1.1× 117 0.7× 87 0.6× 58 0.5× 47 0.5× 15 551
Seyni Salack Germany 17 463 1.7× 205 1.2× 249 1.7× 40 0.4× 69 0.7× 40 756
Piyush Dahal Nepal 9 299 1.1× 204 1.2× 114 0.8× 83 0.8× 125 1.2× 16 584
Rafaela Jane Delfino Philippines 10 255 1.0× 115 0.7× 126 0.8× 51 0.5× 47 0.5× 13 509
I. Vitkovskaya Kazakhstan 8 273 1.0× 56 0.3× 122 0.8× 53 0.5× 102 1.0× 15 454
Teferi Demissie Norway 14 477 1.8× 173 1.0× 281 1.9× 27 0.3× 93 0.9× 45 785
Tao Ye China 13 218 0.8× 127 0.7× 94 0.6× 27 0.3× 39 0.4× 29 475
Ben Parkes United Kingdom 17 273 1.0× 163 0.9× 113 0.8× 26 0.2× 92 0.9× 31 575

Countries citing papers authored by Dennis Todey

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Todey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Todey

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Todey. A scholar is included among the top collaborators of Dennis Todey 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 Dennis Todey. Dennis Todey 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.
Ford, Trent W., et al.. (2025). Historical and Projected Changes in Chill Accumulation and Spring Freeze Risk in the Midwest United States. Agricultural and Forest Meteorology. 368. 110532–110532. 1 indexed citations
2.
Haigh, Tonya, et al.. (2024). Delivering and Evaluating Climate Services: The North Central U.S. Climate and Drought Webinar Series. Weather Climate and Society. 16(3). 529–540.
3.
Kovar, John L., A. N. Papanicolaou, Amitava Chatterjee, et al.. (2024). The LTAR Cropland Common Experiment at Upper Mississippi River Basin–Ames. Journal of Environmental Quality. 53(6). 978–988. 2 indexed citations
4.
Haigh, Tonya, et al.. (2022). Meeting the Drought Information Needs of Midwest Perennial Specialty Crop Producers. Journal of Applied Meteorology and Climatology. 61(7). 839–855. 6 indexed citations
5.
Todey, Dennis, et al.. (2021). Manure Application Timing and Tillage Influence on Nutrient Loss from Snowmelt Runoff. Soil Systems. 5(4). 67–67. 2 indexed citations
6.
Backlund, Peter, Lawrence Buja, Michael J. Walsh, et al.. (2020). USDA Climate Change Indicators for Agriculture: A New Framework for Understanding Climate Risks and Impacts to U.S. Agriculture.. AGU Fall Meeting Abstracts. 2020. 2 indexed citations
7.
Malone, Robert W., Jürgen Garbrecht, Jerry L. Hatfield, et al.. (2020). Drainage N Loads Under Climate Change with Winter Rye Cover Crop in a Northern Mississippi River Basin Corn-Soybean Rotation. Sustainability. 12(18). 7630–7630. 13 indexed citations
8.
Haigh, Tonya, Chad E. Hart, Maria Carmen Lemos, et al.. (2018). Provision of Climate Services for Agriculture: Public and Private Pathways to Farm Decision-Making. Bulletin of the American Meteorological Society. 99(9). 1781–1790. 32 indexed citations
9.
Andresen, Jeffrey A., et al.. (2017). Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA. Climatic Change. 146(1-2). 145–158. 62 indexed citations
10.
11.
Angel, James R., et al.. (2016). The U2U Corn Growing Degree Day tool: Tracking corn growth across the US Corn Belt. Climate Risk Management. 15. 73–81. 26 indexed citations
12.
Carlton, J. Stuart, Amber Saylor Mase, Cody Knutson, et al.. (2015). The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes. Climatic Change. 135(2). 211–226. 126 indexed citations
13.
Prokopy, Linda S., Tonya Haigh, Amber Saylor Mase, et al.. (2013). Agricultural Advisors: A Receptive Audience for Weather and Climate Information?. Weather Climate and Society. 5(2). 162–167. 49 indexed citations
14.
Takle, Eugene S., Christopher J. Anderson, Jeffrey A. Andresen, et al.. (2013). Climate Forecasts for Corn Producer Decision Making. Earth Interactions. 18(5). 1–8. 36 indexed citations
15.
Todey, Dennis, et al.. (2013). ANIMAL HEALTH EFFECTS OF THE OCTOBER 2013 BLIZZARD:OBSERVATIONS. Insecta mundi. 2 indexed citations
16.
Hubbard, Kenneth G., et al.. (2009). Quality Control of Soil Water Data in Applied Climate Information System—Case Study in Nebraska. Journal of Hydrologic Engineering. 15(3). 200–209. 20 indexed citations
17.
Grovenburg, Troy W., Jonathan A. Jenks, Robert W. Klaver, et al.. (2009). Seasonal movements and home ranges of white-tailed deer in north-central South Dakota. Canadian Journal of Zoology. 87(10). 876–885. 24 indexed citations
18.
Cruse, Richard M., Dennis C. Flanagan, J. R. Frankenberger, et al.. (2006). Daily estimates of rainfall, water runoff, and soil erosion in Iowa. Journal of Soil and Water Conservation. 61(4). 191–199. 64 indexed citations
19.
Segal, Moti, Richard Turner, & Dennis Todey. (2000). Using radiosonde meteorological data to better assess air conditioning loads in tall buildings. Energy and Buildings. 31(3). 243–250. 1 indexed citations
20.
Carlson, R. E. & Dennis Todey. (1997). A Search for Average, Extremes, and Runs of Unusual Weather in Iowa. UNI ScholarWorks (University of Northern Iowa). 104(1). 21–27. 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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