Jesse Tack

2.1k total citations · 1 hit paper
63 papers, 1.4k citations indexed

About

Jesse Tack is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science and Plant Science. According to data from OpenAlex, Jesse Tack has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, Evolution, Behavior and Systematics, 25 papers in Soil Science and 25 papers in Plant Science. Recurrent topics in Jesse Tack's work include Climate change impacts on agriculture (28 papers), Agricultural risk and resilience (22 papers) and Crop Yield and Soil Fertility (12 papers). Jesse Tack is often cited by papers focused on Climate change impacts on agriculture (28 papers), Agricultural risk and resilience (22 papers) and Crop Yield and Soil Fertility (12 papers). Jesse Tack collaborates with scholars based in United States, Australia and South Africa. Jesse Tack's co-authors include Lawton Lanier Nalley, Andrew Barkley, Keith H. Coble, Nathan Hendricks, S. V. Krishna Jagadish, Aaron M. Shew, David Ubilava, Ardian Harri, Petronella Chaminuka and Jane Lingenfelser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jesse Tack

57 papers receiving 1.4k citations

Hit Papers

Effect of warming temperatures on US wheat yields 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Tack United States 22 722 679 508 278 258 63 1.4k
Piedad Moya Philippines 14 705 1.0× 445 0.7× 414 0.8× 145 0.5× 148 0.6× 22 1.2k
Andrew Barkley United States 18 508 0.7× 371 0.5× 282 0.6× 172 0.6× 197 0.8× 63 1.2k
Tsedeke Abate Ethiopia 13 818 1.1× 467 0.7× 445 0.9× 194 0.7× 269 1.0× 36 1.9k
Jesse B. Naab United States 20 731 1.0× 687 1.0× 471 0.9× 286 1.0× 404 1.6× 53 1.6k
Samarendu Mohanty United States 22 878 1.2× 408 0.6× 436 0.9× 157 0.6× 100 0.4× 55 1.9k
Marcos Lana Germany 17 645 0.9× 424 0.6× 334 0.7× 247 0.9× 273 1.1× 75 1.7k
Bernhard Schauberger Germany 18 614 0.9× 629 0.9× 258 0.5× 413 1.5× 226 0.9× 32 1.5k
Peter Hayman Australia 18 410 0.6× 388 0.6× 159 0.3× 275 1.0× 235 0.9× 57 1.1k
Jeremy Haggar United Kingdom 26 532 0.7× 355 0.5× 314 0.6× 491 1.8× 129 0.5× 67 2.0k
Myles Fisher Colombia 19 423 0.6× 243 0.4× 643 1.3× 299 1.1× 289 1.1× 45 1.6k

Countries citing papers authored by Jesse Tack

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Tack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Tack

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Tack. A scholar is included among the top collaborators of Jesse Tack 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 Jesse Tack. Jesse Tack 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.
Tack, Jesse, G. J. Kluitenberg, M.B. Kirkham, et al.. (2025). Concurrent improvements in maize yield and drought resistance through breeding advances in the U.S.Corn Belt. Nature Communications. 16(1). 9389–9389.
2.
Tack, Jesse, et al.. (2025). Measuring the impact of hurricane incidence on agricultural production risk using insurance data. American Journal of Agricultural Economics. 107(5). 1438–1456.
3.
Tack, Jesse, et al.. (2025). Climate-based measures of supply chain resilience. Agricultural Finance Review. 86(1). 3–24. 1 indexed citations
4.
Nalley, Lawton Lanier, Hans De Steur, Alvaro Durand‐Morat, et al.. (2025). The divergence of the public and private plant breeding sectors with implications for climate change. Ghent University Academic Bibliography (Ghent University). 1(1).
6.
Herrera, Juan M., et al.. (2023). Precipitation causes quality losses of large economic relevance in wheat production. Repository for Publications and Research Data (ETH Zurich). 4(1).
7.
Tsiboe, Francis, Jesse Tack, & Jisang Yu. (2023). Farm‐level evaluation of area‐ and agroclimatic‐based index insurance. 2(4). 616–633. 5 indexed citations
8.
Tsiboe, Francis, Jesse Tack, Keith H. Coble, Ardian Harri, & Joseph Cooper. (2023). Simulating corn futures market reaction and prices under weekly yield forecasts. Agricultural Finance Review. 83(4/5). 655–674. 3 indexed citations
9.
Tack, Jesse, et al.. (2023). Does crop insurance influence crop yield impacts of warming temperatures? A farm‐level analysis. 2(4). 808–822. 1 indexed citations
10.
Hendricks, Nathan, et al.. (2021). Decreased wheat production in the USA from climate change driven by yield losses rather than crop abandonment. PLoS ONE. 16(6). e0252067–e0252067. 33 indexed citations
11.
Shew, Aaron M., et al.. (2021). Yield gains larger in GM maize for human consumption than livestock feed in South Africa. Nature Food. 2(2). 104–109. 10 indexed citations
12.
Barkley, Andrew, et al.. (2020). How Do Students Allocate Their Time? An Application of Prospect Theory to Trade‐offs between Time Spent to Improve GPA Versus Time Spent on Other Activities. AgEcon Search (University of Minnesota, USA). 2(3). 2 indexed citations
13.
Perry, Edward, Jisang Yu, & Jesse Tack. (2020). Using insurance data to quantify the multidimensional impacts of warming temperatures on yield risk. Nature Communications. 11(1). 4542–4542. 46 indexed citations
14.
Briggeman, Brian C., et al.. (2019). Examining U.S. grain marketing and farm supply cooperatives’ sustainable growth rates. Agribusiness. 35(4). 625–638. 8 indexed citations
15.
Lusk, Jayson L., Jesse Tack, & Nathan Hendricks. (2017). Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather. SSRN Electronic Journal. 1 indexed citations
16.
Lusk, Jayson L., Jesse Tack, & Nathan Hendricks. (2017). Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather. National Bureau of Economic Research. 11–39. 7 indexed citations
17.
Nalley, Lawton Lanier, Jesse Tack, Andrew Barkley, S. V. Krishna Jagadish, & Kristofor R. Brye. (2016). Quantifying the Agronomic and Economic Performance of Hybrid and Conventional Rice Varieties. Agronomy Journal. 108(4). 1514–1523. 32 indexed citations
18.
Li, Xiaofei, et al.. (2016). Estimating Site-Specific Crop Yield Response using Varying Coefficient Models. AgEcon Search (University of Minnesota, USA). 1 indexed citations
19.
Tack, Jesse, Andrew Barkley, Trevor W. Rife, Jesse Poland, & Lawton Lanier Nalley. (2015). Quantifying variety‐specific heat resistance and the potential for adaptation to climate change. Global Change Biology. 22(8). 2904–2912. 23 indexed citations
20.
Tack, Jesse. (2013). The Effect of Climate on Crop Insurance Premium Rates and Producer Subsidies. RePEc: Research Papers in Economics. 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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