K. E. Saxton

7.2k total citations · 2 hit papers
65 papers, 5.5k citations indexed

About

K. E. Saxton is a scholar working on Soil Science, Water Science and Technology and Earth-Surface Processes. According to data from OpenAlex, K. E. Saxton has authored 65 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Soil Science, 19 papers in Water Science and Technology and 16 papers in Earth-Surface Processes. Recurrent topics in K. E. Saxton's work include Soil erosion and sediment transport (20 papers), Aeolian processes and effects (16 papers) and Hydrology and Watershed Management Studies (15 papers). K. E. Saxton is often cited by papers focused on Soil erosion and sediment transport (20 papers), Aeolian processes and effects (16 papers) and Hydrology and Watershed Management Studies (15 papers). K. E. Saxton collaborates with scholars based in United States, Australia and Greece. K. E. Saxton's co-authors include W. J. Rawls, R. I. Papendick, G. N. Flerchinger, Larry D. Stetler, D. G. Chandler, M. W. Van Liew, H. P. Johnson, R. H. Shaw, Candis Claiborn and Brian Lamb and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Soil Science Society of America Journal and Agricultural and Forest Meteorology.

In The Last Decade

K. E. Saxton

65 papers receiving 5.0k citations

Hit Papers

Soil Water Characteristic Estimates by Text... 1986 2026 1999 2012 2006 1986 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. E. Saxton United States 27 2.1k 1.6k 1.4k 1.3k 1.2k 65 5.5k
R. I. Papendick United States 39 3.0k 1.4× 1.0k 0.6× 1.2k 0.9× 931 0.7× 503 0.4× 114 6.3k
Juan Vicente Giráldez Cervera Spain 31 2.5k 1.2× 993 0.6× 660 0.5× 809 0.6× 928 0.8× 175 4.4k
Xiaoxu Jia China 43 2.7k 1.3× 1.8k 1.1× 1.4k 1.0× 1.4k 1.1× 1.2k 1.0× 155 6.1k
Keith Loague United States 36 1.5k 0.7× 1.4k 0.9× 1.4k 1.0× 2.0k 1.5× 2.8k 2.3× 114 5.5k
Keith L. Bristow Australia 38 1.7k 0.8× 1.3k 0.8× 2.3k 1.7× 1.8k 1.4× 627 0.5× 123 5.8k
Thomas J. Sauer United States 35 1.8k 0.9× 1.8k 1.1× 1.1k 0.8× 743 0.6× 606 0.5× 125 4.4k
Xuezheng Shi China 40 2.9k 1.4× 1.9k 1.2× 571 0.4× 1.7k 1.4× 576 0.5× 146 6.5k
Yü Liu China 42 2.9k 1.4× 2.2k 1.4× 847 0.6× 718 0.6× 935 0.8× 187 6.0k
Vincent Chaplot France 49 3.8k 1.8× 1.4k 0.8× 491 0.4× 1.2k 1.0× 1.8k 1.6× 125 6.3k
Jim Wallace Australia 38 1.0k 0.5× 3.2k 2.0× 565 0.4× 769 0.6× 1.2k 1.0× 79 4.9k

Countries citing papers authored by K. E. Saxton

Since Specialization
Citations

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

Fields of papers citing papers by K. E. Saxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. E. Saxton

This figure shows the co-authorship network connecting the top 25 collaborators of K. E. Saxton. A scholar is included among the top collaborators of K. E. Saxton 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 K. E. Saxton. K. E. Saxton 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.
Breymann, Wolfgang, et al.. (2017). An innovative RegTech approach to financial risk monitoring and supervisory reporting. The Journal of Risk Finance. 19(1). 39–55. 35 indexed citations
2.
Papendick, R. I., et al.. (2009). STEEP: Impact of long-term conservation farming research and education in Pacific Northwest wheatlands. Journal of Soil and Water Conservation. 64(4). 253–264. 37 indexed citations
3.
Rawls, W. J., Attila Nemes, Yakov Pachepsky, & K. E. Saxton. (2007). Using the NRCS National Soils Information System (NASIS) to Provide Soil Hydraulic Properties for Engineering Applications. Transactions of the ASABE. 50(5). 1715–1718. 7 indexed citations
4.
Baker, C. L., Scott Justice, K. E. Saxton, et al.. (2006). No Tillage Seeding in Conservation Agriculture. 149 indexed citations
5.
Saxton, K. E., et al.. (2006). FIELD AND POND HYDROLOGIC ANALYSES WITH THE SPAW MODEL. 2006 Portland, Oregon, July 9-12, 2006. 13 indexed citations
6.
Chandler, D. G., K. E. Saxton, & Alan J. Busacca. (2004). Predicting Wind Erodibility of Loessial Soils in the Pacific Northwest by Particle Sizing. Arid Land Research and Management. 19(1). 13–27. 20 indexed citations
7.
Saxton, K. E., D. G. Chandler, & William F. Schillinger. (2001). Wind Erosion and Air Quality Research in the Northwest U.S. Columbia Plateau: Organization and Progress. 5 indexed citations
8.
Saxton, K. E., et al.. (2000). WIND EROSION AND FUGITIVE DUST FLUXES ON AGRICULTURAL LANDS IN THE PACIFIC NORTHWEST. Transactions of the ASAE. 43(3). 631–640. 81 indexed citations
9.
Saxton, K. E.. (1995). Wind Erosion and Its Impact on Off-site Air Quality in the Columbia Plateau An Integrated Research Plan. Transactions of the ASAE. 38(4). 1031–1038. 45 indexed citations
10.
Saxton, K. E., et al.. (1995). Analysis of soil water and water stress for pearl millet in an Indian arid region using the SPAW Model. Journal of Arid Environments. 29(2). 155–167. 12 indexed citations
11.
Stöckle, Claudio O., R. I. Papendick, K. E. Saxton, Gaylon S. Campbell, & F.K. van Evert. (1994). A framework for evaluating the sustainability of agricultural production systems. American Journal of Alternative Agriculture. 9(1-2). 45–50. 55 indexed citations
12.
Stöckle, Claudio O., et al.. (1991). Effect of evapotranspiration underprediction on irrigation scheduling and yield of corn: a simulation study. Agricultural Water Management. 19(2). 167–179. 2 indexed citations
13.
Saxton, K. E., et al.. (1988). Optimum sorghum planting dates in western Sudan by simulated water budgets. Agricultural Water Management. 13(1). 33–48. 8 indexed citations
14.
Flerchinger, G. N. & K. E. Saxton. (1988). Modeling tillage and residue effects on the hydrology of agricultural croplands. 4 indexed citations
15.
Liew, M. W. Van & K. E. Saxton. (1983). Slope steepness and incorporated residue effects on rill erosion [Universal Soil Loss Equation].. 4 indexed citations
16.
Saxton, K. E., et al.. (1982). Regional Prediction of Crop Water Stress by Soil Water Budgets and Climatic Demand. Transactions of the ASAE. 25(1). 105–110. 11 indexed citations
17.
Saxton, K. E., et al.. (1980). Sediment from a Small Summer Grazed Watershed. 790–801. 1 indexed citations
18.
Saxton, K. E., H. P. Johnson, & R. H. Shaw. (1974). Watershed Evapotranspiration Estimated by the Combination Method. Transactions of the ASAE. 17(4). 668–672. 5 indexed citations
19.
Saxton, K. E., et al.. (1970). Hydrology of a claypan watershed.. MOspace Institutional Repository (University of Missouri). 974. 3 indexed citations
20.
Johnson, H. P., et al.. (1969). The Effect of Man on Water Yield, Peak Runoff and Sedimentation. UNI ScholarWorks (University of Northern Iowa). 76(1). 153–166. 2 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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