Tyson E. Ochsner

6.9k total citations · 3 hit papers
124 papers, 5.1k citations indexed

About

Tyson E. Ochsner is a scholar working on Civil and Structural Engineering, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Tyson E. Ochsner has authored 124 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Civil and Structural Engineering, 58 papers in Environmental Engineering and 45 papers in Global and Planetary Change. Recurrent topics in Tyson E. Ochsner's work include Soil and Unsaturated Flow (59 papers), Soil Moisture and Remote Sensing (53 papers) and Plant Water Relations and Carbon Dynamics (34 papers). Tyson E. Ochsner is often cited by papers focused on Soil and Unsaturated Flow (59 papers), Soil Moisture and Remote Sensing (53 papers) and Plant Water Relations and Carbon Dynamics (34 papers). Tyson E. Ochsner collaborates with scholars based in United States, China and Netherlands. Tyson E. Ochsner's co-authors include John M. Baker, Robert Horton, Rodney T. Venterea, Timothy J. Griffis, Andres Patrignani, Tusheng Ren, Erik S. Krueger, Romulo P. Lollato, Thomas J. Sauer and Jeffrey T. Edwards and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Resources Research.

In The Last Decade

Tyson E. Ochsner

118 papers receiving 4.9k citations

Hit Papers

Tillage and soil carbon s... 2006 2026 2012 2019 2006 2015 2013 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tyson E. Ochsner 1.7k 1.6k 1.4k 1.3k 1.1k 124 5.1k
Thomas J. Sauer 1.8k 1.1× 743 0.5× 1.1k 0.8× 1.8k 1.5× 501 0.4× 125 4.4k
Keith L. Bristow 1.7k 1.0× 1.8k 1.1× 2.3k 1.6× 1.3k 1.0× 839 0.7× 123 5.8k
Joshua L. Heitman 1.1k 0.7× 1.0k 0.6× 1.5k 1.0× 1.2k 0.9× 761 0.7× 172 3.8k
Miles Dyck 1.5k 0.9× 646 0.4× 1.1k 0.8× 411 0.3× 831 0.7× 132 3.5k
Stephan Peth 3.2k 1.9× 934 0.6× 2.1k 1.5× 553 0.4× 443 0.4× 135 6.1k
Jay M. Ham 1.1k 0.6× 744 0.5× 808 0.6× 2.7k 2.2× 1.2k 1.1× 118 4.9k
Tusheng Ren 1.1k 0.7× 1.6k 1.0× 2.9k 2.0× 660 0.5× 1.7k 1.5× 170 5.1k
G. N. Flerchinger 758 0.4× 1.0k 0.6× 1.1k 0.8× 1.8k 1.5× 2.2k 1.9× 145 4.8k
K. E. Saxton 2.1k 1.2× 1.3k 0.8× 1.4k 1.0× 1.6k 1.3× 1.0k 0.9× 65 5.5k
M. Wattenbach 2.5k 1.5× 985 0.6× 379 0.3× 2.5k 2.0× 691 0.6× 55 6.5k

Countries citing papers authored by Tyson E. Ochsner

Since Specialization
Citations

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

Fields of papers citing papers by Tyson E. Ochsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyson E. Ochsner

This figure shows the co-authorship network connecting the top 25 collaborators of Tyson E. Ochsner. A scholar is included among the top collaborators of Tyson E. Ochsner 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 Tyson E. Ochsner. Tyson E. Ochsner 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.
Ochsner, Tyson E., et al.. (2025). A 3 h, 1 km surface soil moisture dataset for the contiguous United States from 2015 to 2023. Earth system science data. 17(7). 3391–3409.
2.
Wang, Qunming, Erik S. Krueger, Huipeng Xi, et al.. (2025). Generating a downscaled hourly surface soil moisture dataset for wildfire prediction. Journal of Hydrology. 661. 133795–133795.
3.
Brorsen, B. Wade, et al.. (2025). NASA’s modeled soil moisture data as an index for forage crop insurance and disaster protection programs: The case of Oklahoma. Agricultural and Forest Meteorology. 373. 110772–110772.
4.
Yang, Jia, et al.. (2024). Wildfire danger under changing climates in the southern Great Plains throughout the 21st century. Ecological Indicators. 170. 112994–112994. 2 indexed citations
5.
Ochsner, Tyson E., et al.. (2024). CRNPy: An Open-Source Python Library for Cosmic-RayNeutron Probe Data Processing. The Journal of Open Source Software. 9(97). 6025–6025. 2 indexed citations
6.
Krueger, Erik S., Tyson E. Ochsner, & B. Wade Brorsen. (2024). Soil Moisture Information Improves Drought Risk Protection Provided by the USDA Livestock Forage Disaster Program. Bulletin of the American Meteorological Society. 105(7). E1153–E1169. 4 indexed citations
7.
Mohammed, Adil Hussein, et al.. (2024). MIS-ME: A Multi-Modal Framework for Soil Moisture Estimation. 1–10. 1 indexed citations
8.
Brown, William G., et al.. (2023). Upscaling soil moisture from point scale to field scale: Toward a general model. Vadose Zone Journal. 22(2). 7 indexed citations
9.
10.
Krueger, Erik S., Matthew R. Levi, Kevin O. Achieng, et al.. (2022). Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions. International Journal of Wildland Fire. 32(2). 111–132. 28 indexed citations
11.
Dhakal, Kundan, et al.. (2020). Constructing retrospective gridded daily weather data for agro‐hydrological applications in Oklahoma. Agrosystems Geosciences & Environment. 3(1). 3 indexed citations
12.
Yimam, Yohannes Tadesse, Tyson E. Ochsner, & Garey A. Fox. (2017). Hydrologic cost-effectiveness ratio favors switchgrass production on marginal croplands over existing grasslands. PLoS ONE. 12(8). e0181924–e0181924. 7 indexed citations
13.
Krueger, Erik S., Tyson E. Ochsner, J. D. Carlson, et al.. (2016). Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on season. International Journal of Wildland Fire. 25(6). 657–668. 46 indexed citations
14.
Dong, Jianzhi, Susan Steele‐Dunne, Tyson E. Ochsner, & Nick van de Giesen. (2016). Determining soil moisture and soil properties in vegetated areas by assimilating soil temperatures. Water Resources Research. 52(6). 4280–4300. 35 indexed citations
15.
Albrecht, Kenneth A., et al.. (2015). Intercropping maize and Caucasian clover to reduce environmental impact of maize silage production.. 163–165. 1 indexed citations
16.
Krueger, Erik S., Tyson E. Ochsner, David M. Engle, et al.. (2015). Soil Moisture Affects Growing-Season Wildfire Size in the Southern Great Plains. Soil Science Society of America Journal. 79(6). 1567–1576. 89 indexed citations
17.
Johnson, Jane M. F., Douglas L. Karlen, Garold L. Gresham, et al.. (2014). Vertical Distribution of Structural Components in Corn Stover. Agriculture. 4(4). 274–287. 3 indexed citations
18.
Dong, Jianzhi, Tyson E. Ochsner, & Michael H. Cosh. (2012). Bayesian Maximum Entropy Approach to Mapping Soil Moisture at the Field Scale. AGU Fall Meeting Abstracts. 2012.
19.
Wine, Michael L., et al.. (2011). Effects of eastern redcedar encroachment on soil hydraulic properties along Oklahoma's grassland‐forest ecotone. Hydrological Processes. 26(11). 1720–1728. 39 indexed citations
20.
Cosh, Michael H., Tyson E. Ochsner, Jeffrey B. Basara, & Thomas J. Jackson. (2010). The SMAP in situ soil moisture sensor testbed: Comparing in situ sensors for satellite validation. 699–701. 8 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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