T. E. Twine

4.5k total citations · 1 hit paper
32 papers, 3.2k citations indexed

About

T. E. Twine is a scholar working on Global and Planetary Change, Agronomy and Crop Science and Water Science and Technology. According to data from OpenAlex, T. E. Twine has authored 32 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 7 papers in Agronomy and Crop Science and 7 papers in Water Science and Technology. Recurrent topics in T. E. Twine's work include Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (8 papers) and Bioenergy crop production and management (6 papers). T. E. Twine is often cited by papers focused on Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (8 papers) and Bioenergy crop production and management (6 papers). T. E. Twine collaborates with scholars based in United States, South Africa and Kenya. T. E. Twine's co-authors include William P. Kustas, Christopher J. Kucharik, John M. Norman, David Cook, Patrick J. Starks, Paul R. Houser, T. P. Meyers, M. L. Wesely, John H. Prueger and Jonathan A. Foley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

T. E. Twine

31 papers receiving 3.1k citations

Hit Papers

Correcting eddy-covariance flux underestimates over a gra... 2000 2026 2008 2017 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. E. Twine United States 22 2.3k 711 618 615 544 32 3.2k
Giulia Vico Sweden 38 2.1k 0.9× 464 0.7× 635 1.0× 307 0.5× 1.2k 2.2× 94 3.6k
Olivier Roupsard France 35 3.2k 1.4× 647 0.9× 708 1.1× 489 0.8× 1.1k 2.0× 105 4.8k
N. A. Brunsell United States 35 2.5k 1.1× 544 0.8× 963 1.6× 1.3k 2.1× 304 0.6× 110 4.0k
Lutz Merbold Switzerland 34 2.1k 0.9× 344 0.5× 655 1.1× 370 0.6× 328 0.6× 108 3.4k
Jim Wallace Australia 38 3.2k 1.4× 1.2k 1.6× 980 1.6× 769 1.3× 1.0k 1.8× 79 4.9k
Longhui Li China 29 1.5k 0.6× 434 0.6× 376 0.6× 367 0.6× 453 0.8× 60 2.2k
Nicolas Vuichard France 34 2.1k 0.9× 330 0.5× 794 1.3× 365 0.6× 402 0.7× 77 3.7k
Chuanyan Zhao China 30 1.8k 0.8× 541 0.8× 700 1.1× 315 0.5× 457 0.8× 131 3.2k
Steven E. Hollinger United States 24 1.5k 0.6× 552 0.8× 1.1k 1.8× 1.3k 2.2× 617 1.1× 66 3.5k
Dexin Guan China 28 2.0k 0.9× 593 0.8× 703 1.1× 337 0.5× 686 1.3× 117 3.0k

Countries citing papers authored by T. E. Twine

Since Specialization
Citations

This map shows the geographic impact of T. E. Twine'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 T. E. Twine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Twine more than expected).

Fields of papers citing papers by T. E. Twine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Twine. 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 T. E. Twine. The network helps show where T. E. Twine may publish in the future.

Co-authorship network of co-authors of T. E. Twine

This figure shows the co-authorship network connecting the top 25 collaborators of T. E. Twine. A scholar is included among the top collaborators of T. E. Twine 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 T. E. Twine. T. E. Twine 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
2.
Liess, Stefan, T. E. Twine, P. K. Snyder, et al.. (2022). High‐Resolution Climate Projections Over Minnesota for the 21st Century. Earth and Space Science. 9(3). 19 indexed citations
3.
Keeler, Bonnie, et al.. (2019). Climate change projections for improved management of infrastructure, industry, and water resources in Minnesota. University of Minnesota Digital Conservancy (University of Minnesota). 3 indexed citations
4.
Snyder, P. K., et al.. (2017). Quantifying the trade‐off between carbon sequestration and albedo in midlatitude and high‐latitude North American forests. Geophysical Research Letters. 44(5). 2493–2501. 54 indexed citations
5.
Sun, Jian, et al.. (2017). Effects of Land Use Change for Crops on Water and Carbon Budgets in the Midwest USA. Sustainability. 9(2). 225–225. 11 indexed citations
6.
Hong, Xu, T. E. Twine, & Evan Girvetz. (2016). Climate Change and Maize Yield in Iowa. PLoS ONE. 11(5). e0156083–e0156083. 74 indexed citations
7.
Vashisht, B.B., Tyler J. Nigon, D. J. Mulla, et al.. (2015). Adaptation of water and nitrogen management to future climates for sustaining potato yield in Minnesota: Field and simulation study. Agricultural Water Management. 152. 198–206. 35 indexed citations
8.
Smoliak, Brian V., et al.. (2015). Dense Network Observations of the Twin Cities Canopy-Layer Urban Heat Island. Journal of Applied Meteorology and Climatology. 54(9). 1899–1917. 70 indexed citations
9.
Hong, Xu, T. E. Twine, & Xi Yang. (2014). Evaluating Remotely Sensed Phenological Metrics in a Dynamic Ecosystem Model. Remote Sensing. 6(6). 4660–4686. 27 indexed citations
10.
VanLoocke, Andy, T. E. Twine, Marcelo Zeri, & Carl J. Bernacchi. (2012). A regional comparison of water use efficiency for miscanthus, switchgrass and maize. Agricultural and Forest Meteorology. 164. 82–95. 118 indexed citations
11.
Anderson‐Teixeira, Kristina J., P. K. Snyder, T. E. Twine, et al.. (2012). Climate-regulation services of natural and agricultural ecoregions of the Americas. Nature Climate Change. 2(3). 177–181. 164 indexed citations
12.
VanLoocke, Andy, Carl J. Bernacchi, & T. E. Twine. (2010). The impacts of Miscanthus×giganteus production on the Midwest US hydrologic cycle. GCB Bioenergy. 2(4). 180–191. 127 indexed citations
13.
Twine, T. E. & Christopher J. Kucharik. (2009). Climate impacts on net primary productivity trends in natural and managed ecosystems of the central and eastern United States. Agricultural and Forest Meteorology. 149(12). 2143–2161. 74 indexed citations
14.
Twine, T. E. & Christopher J. Kucharik. (2008). Evaluating a terrestrial ecosystem model with satellite information of greenness. Journal of Geophysical Research Atmospheres. 113(G3). 31 indexed citations
15.
Kucharik, Christopher J. & T. E. Twine. (2007). Residue, respiration, and residuals: Evaluation of a dynamic agroecosystem model using eddy flux measurements and biometric data. Agricultural and Forest Meteorology. 146(3-4). 134–158. 83 indexed citations
16.
Twine, T. E., et al.. (2006). Conference notebook: Tablet PCs: A welcome aid to lecture-based meteorology courses. Bulletin of the American Meteorological Society. 87(6). 737–738. 1 indexed citations
17.
Twine, T. E., et al.. (2006). Tablet PCS: An educational aid for lecture-based survey meteorology courses.
18.
Twine, T. E., Christopher J. Kucharik, & Jonathan A. Foley. (2004). Effects of Land Cover Change on the Energy and Water Balance of the Mississippi River Basin. Journal of Hydrometeorology. 5(4). 640–655. 154 indexed citations
19.
Donner, Simon D., Michael T. Coe, John D. Lenters, T. E. Twine, & Jonathan A. Foley. (2002). Modeling the impact of hydrological changes on nitrate transport in the Mississippi River Basin from 1955 to 1994. Global Biogeochemical Cycles. 16(3). 119 indexed citations
20.
Twine, T. E., William P. Kustas, John M. Norman, et al.. (2000). Correcting eddy-covariance flux underestimates over a grassland. Agricultural and Forest Meteorology. 103(3). 279–300. 1488 indexed citations breakdown →

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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