Keith A. Janssen

637 total citations
22 papers, 514 citations indexed

About

Keith A. Janssen is a scholar working on Soil Science, Environmental Chemistry and Water Science and Technology. According to data from OpenAlex, Keith A. Janssen has authored 22 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Soil Science, 10 papers in Environmental Chemistry and 9 papers in Water Science and Technology. Recurrent topics in Keith A. Janssen's work include Soil and Water Nutrient Dynamics (10 papers), Hydrology and Watershed Management Studies (9 papers) and Soil erosion and sediment transport (8 papers). Keith A. Janssen is often cited by papers focused on Soil and Water Nutrient Dynamics (10 papers), Hydrology and Watershed Management Studies (9 papers) and Soil erosion and sediment transport (8 papers). Keith A. Janssen collaborates with scholars based in United States, China and Canada. Keith A. Janssen's co-authors include Gary M. Pierzynski, Philip L. Barnes, Prasanta K. Kalita, Kyle R. Mankin, Darusman Darusman, D. A. Whitney, Brian Olson, M. L. Vitosh, Nathan O. Nelson and Daniel W. Sweeney and has published in prestigious journals such as Soil Science Society of America Journal, Frontiers in Plant Science and Journal of Environmental Quality.

In The Last Decade

Keith A. Janssen

22 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith A. Janssen United States 13 343 231 191 113 76 22 514
Shufang Guo China 15 326 1.0× 119 0.5× 190 1.0× 128 1.1× 135 1.8× 33 579
K. C. McGregor United States 14 510 1.5× 219 0.9× 173 0.9× 48 0.4× 207 2.7× 29 620
F. Ghidey United States 16 487 1.4× 266 1.2× 262 1.4× 105 0.9× 116 1.5× 28 739
Mark L. McFarland United States 12 213 0.6× 69 0.3× 149 0.8× 118 1.0× 58 0.8× 43 447
D. B. Davies United Kingdom 11 442 1.3× 147 0.6× 293 1.5× 154 1.4× 112 1.5× 20 717
R. D. Connolly Australia 16 365 1.1× 194 0.8× 83 0.4× 56 0.5× 130 1.7× 24 547
R. G. Spomer United States 12 310 0.9× 162 0.7× 165 0.9× 49 0.4× 118 1.6× 23 447
N. Preedy United Kingdom 7 251 0.7× 156 0.7× 292 1.5× 35 0.3× 84 1.1× 12 447
Janine Kettering Germany 7 272 0.8× 75 0.3× 87 0.5× 111 1.0× 52 0.7× 8 415
Neda Farahbakhshazad Sweden 10 179 0.5× 85 0.4× 143 0.7× 38 0.3× 90 1.2× 13 426

Countries citing papers authored by Keith A. Janssen

Since Specialization
Citations

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

Fields of papers citing papers by Keith A. Janssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith A. Janssen. 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 Keith A. Janssen. The network helps show where Keith A. Janssen may publish in the future.

Co-authorship network of co-authors of Keith A. Janssen

This figure shows the co-authorship network connecting the top 25 collaborators of Keith A. Janssen. A scholar is included among the top collaborators of Keith A. Janssen 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 Keith A. Janssen. Keith A. Janssen 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.
Adee, Eric, et al.. (2016). Corn Response as Affected by Planting Distance from the Center of Strip-Till Fertilized Rows. Frontiers in Plant Science. 7. 1232–1232. 12 indexed citations
2.
Nelson, Nathan O., Daniel W. Sweeney, Claire Baffaut, et al.. (2016). Calibration of the APEX Model to Simulate Management Practice Effects on Runoff, Sediment, and Phosphorus Loss. Journal of Environmental Quality. 46(6). 1332–1340. 29 indexed citations
3.
Blanco‐Canqui, Humberto, et al.. (2013). Soil and crop response to stover removal from rainfed and irrigated corn. GCB Bioenergy. 7(2). 219–230. 61 indexed citations
4.
Shao, Hui, Jingqing Gao, Nathan O. Nelson, et al.. (2013). Development and Application of Algorithms for Simulating Terraces within SWAT. Transactions of the ASABE. 1715–1730. 32 indexed citations
5.
Douglas‐Mankin, Kyle R., et al.. (2010). Modeling Nutrient Runoff Yields from Combined In-Field Crop Management Practices Using SWAT. Transactions of the ASABE. 53(5). 1557–1568. 19 indexed citations
6.
Sönmez, Osman, et al.. (2009). A field-based assessment tool for phosphorus losses in runoff in Kansas. Journal of Soil and Water Conservation. 64(3). 212–222. 19 indexed citations
7.
Maski, Devanand, Kyle R. Mankin, Keith A. Janssen, Pushpa Tuppad, & Gary M. Pierzynski. (2008). Modeling runoff and sediment yields from combined in-field crop practices using the Soil and Water Assessment Tool. Journal of Soil and Water Conservation. 63(4). 193–203. 21 indexed citations
8.
Mankin, Kyle R., et al.. (2007). Calibration and Validation of ADAPT and SWAT for Field‐Scale Runoff Prediction1. JAWRA Journal of the American Water Resources Association. 43(4). 899–910. 30 indexed citations
9.
Maski, Devanand, et al.. (2006). Calibration and Validation of SWAT for Field-scale Sediment-Yield Prediction. 2006 Portland, Oregon, July 9-12, 2006. 3 indexed citations
10.
Janssen, Keith A., Daniel W. Sweeney, Gary M. Pierzynski, et al.. (2006). Combining management practices to reduce sediment, nutrients, and herbicides in runoff. Journal of Soil and Water Conservation. 61(5). 258–267. 36 indexed citations
11.
Roozeboom, Kraig L., et al.. (2004). Seed treatments for control of insect pests of sorghum and their effect on yield.. Southwestern Entomologist. 29(3). 209–223. 3 indexed citations
12.
Kalita, Prasanta K., et al.. (2002). Soil loss predictions with three erosion simulation models. Environmental Modelling & Software. 17(2). 135–144. 86 indexed citations
13.
Pierzynski, Gary M., et al.. (2001). Effects of Tillage and Phosphorus Placement on Phosphorus Runoff Losses in a Grain Sorghum–Soybean Rotation. Journal of Environmental Quality. 30(4). 1324–1330. 40 indexed citations
14.
Wilde, Gerald E., Kraig L. Roozeboom, Mark M. Claassen, et al.. (1999). Does the Systemic Insecticide Imidacloprid (Gaucho) Have a Direct Effect on Yield of Grain Sorghum?. jpa. 12(3). 382–389. 8 indexed citations
15.
Janssen, Keith A., et al.. (1998). Hydraulic Device for Transect Sampling Soil. Soil Science Society of America Journal. 62(2). 480–486. 4 indexed citations
16.
Olson, Brian, David L. Regehr, Keith A. Janssen, & Philip L. Barnes. (1998). Tillage System Effects on Atrazine Loss in Surface Water Runoff. Weed Technology. 12(4). 646–651. 8 indexed citations
17.
Regehr, David L. & Keith A. Janssen. (1989). Preplant Weed Control in a Ridge-Till Soybean (Glycine max) and Grain Sorghum (Sorghum bicolor) Rotation. Weed Technology. 3(4). 621–626. 2 indexed citations
18.
Janssen, Keith A., D. A. Whitney, & D. E. Kissel. (1985). Phosphorus Application Frequency and Sources for Grain Sorghum. Soil Science Society of America Journal. 49(3). 754–758. 1 indexed citations
19.
Wilson, Henry P., et al.. (1983). Influence of Metolachlor on Sweet Corn (Zea mays saccharata) Growth and Nutrient Accumulation. Weed Science. 31(3). 342–347. 3 indexed citations
20.
Janssen, Keith A. & M. L. Vitosh. (1974). Effect of Lime, Sulfur, and Molybdenum on N2 Fixation and Yield of Dark Red Kidney Beans1. Agronomy Journal. 66(6). 736–740. 24 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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