Kenneth J. Moore

686 total citations
27 papers, 417 citations indexed

About

Kenneth J. Moore is a scholar working on Agronomy and Crop Science, Plant Science and Soil Science. According to data from OpenAlex, Kenneth J. Moore has authored 27 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Agronomy and Crop Science, 9 papers in Plant Science and 6 papers in Soil Science. Recurrent topics in Kenneth J. Moore's work include Bioenergy crop production and management (15 papers), Crop Yield and Soil Fertility (10 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Kenneth J. Moore is often cited by papers focused on Bioenergy crop production and management (15 papers), Crop Yield and Soil Fertility (10 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Kenneth J. Moore collaborates with scholars based in United States, Colombia and Switzerland. Kenneth J. Moore's co-authors include Andrew W. Lenssen, A. Susana Goggi, D. Raj Raman, Rob Mitchell, Daren D. Redfearn, Ronnie W. Heiniger, William L. Rooney, Bisoondat Macoon, Scott Staggenborg and K. P. Vogel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Environmental Research Letters.

In The Last Decade

Kenneth J. Moore

26 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth J. Moore United States	10	273	176	79	70	61	27	417
Bisoondat Macoon United States	11	286 1.0×	78 0.4×	44 0.6×	74 1.1×	87 1.4×	24	414
Steven D. Masterson United States	5	352 1.3×	104 0.6×	179 2.3×	42 0.6×	60 1.0×	12	503
G. A. Van Esbroeck United States	9	199 0.7×	219 1.2×	86 1.1×	31 0.4×	58 1.0×	14	418
S. Tudsri Thailand	12	187 0.7×	93 0.5×	83 1.1×	39 0.6×	24 0.4×	33	366
Loïc Strullu France	10	224 0.8×	119 0.7×	136 1.7×	101 1.4×	26 0.4×	13	327
Edward Charles Brummer United States	7	265 1.0×	142 0.8×	23 0.3×	46 0.7×	46 0.8×	8	363
Alexandre C. Rocateli United States	12	193 0.7×	158 0.9×	63 0.8×	126 1.8×	26 0.4×	24	355
B. C. Venuto United States	13	439 1.6×	155 0.9×	204 2.6×	60 0.9×	97 1.6×	37	618
David N. Sundberg United States	8	197 0.7×	204 1.2×	45 0.6×	124 1.8×	32 0.5×	10	399
Brent W. Bean United States	13	315 1.2×	342 1.9×	67 0.8×	163 2.3×	18 0.3×	26	583

Countries citing papers authored by Kenneth J. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth J. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth J. Moore. 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 Kenneth J. Moore. The network helps show where Kenneth J. Moore may publish in the future.

Co-authorship network of co-authors of Kenneth J. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Moore. A scholar is included among the top collaborators of Kenneth J. Moore 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 Kenneth J. Moore. Kenneth J. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goggi, A. Susana, et al.. (2025). Investigating Seed Treatments and Soil Amendments to Improve the Establishment of Kentucky Bluegrass as a Perennial Groundcover. SHILAP Revista de lepidopterología. 4(1). 16–16.

Edwards, Jode W., Michael J. Castellano, Brenda L. Gambín, et al.. (2024). Nitrogen fertilizer and plant density affect maize residue quantity and quality more than previous crop and genotype. European Journal of Agronomy. 158. 127215–127215. 4 indexed citations

Moore, Kenneth J., et al.. (2024). Anticipatory Technoeconomic Evaluation of Kentucky Bluegrass-Based Perennial Groundcover Implementations in Large-Scale Midwestern US Corn Production Systems. Sustainability. 16(16). 7112–7112. 1 indexed citations

Fei, Shui‐zhang, et al.. (2022). Evaluating cool‐season grass species as potential perennial groundcover for maize production. Agronomy Journal. 114(4). 2415–2429. 3 indexed citations

Moore, Kenneth J., et al.. (2022). Evaluating Strip and No-Till Maintenance of Perennial Groundcovers for Annual Grain Production. MDPI (MDPI AG). 2(3). 268–286. 1 indexed citations

Moore, Kenneth J., et al.. (2022). Evaluating Chemical Suppression Treatments to Alter the Red: Far-Red Ratio in Perennial Groundcovers for Maize Production. Agronomy. 12(8). 1854–1854. 2 indexed citations

Goggi, A. Susana, et al.. (2022). Seed Size, Planting Depth, and a Perennial Groundcover System Effect on Corn Emergence and Grain Yield. Agronomy. 12(2). 437–437. 10 indexed citations

Lenssen, Andrew W., et al.. (2021). Stem Density, Productivity, and Weed Community Dynamics in Corn-Alfalfa Intercropping. Agronomy. 11(9). 1696–1696. 8 indexed citations

Schlautman, Brandon, et al.. (2021). Perennial groundcovers: an emerging technology for soil conservation and the sustainable intensification of agriculture. Emerging Topics in Life Sciences. 5(2). 337–347. 18 indexed citations

10.

Berti, Marisol T., et al.. (2021). Alfalfa Established Successfully in Intercropping with Corn in the Midwest US. Agronomy. 11(8). 1676–1676. 20 indexed citations

11.

Winham, Donna M., Andrew W. Lenssen, Kenneth J. Moore, et al.. (2020). Genotype by Location Effects on Yield and Seed Nutrient Composition of Common Bean. Agronomy. 10(3). 347–347. 19 indexed citations

12.

Moore, Kenneth J., Robert P. Anex, Amani Elobeid, et al.. (2019). Regenerating Agricultural Landscapes with Perennial Groundcover for Intensive Crop Production. Agronomy. 9(8). 458–458. 45 indexed citations

13.

Luckenbach, Mark W., et al.. (2019). Filtration by oysters : interactive effects of water flow, seston composition and filtration rate. W&M Publish (College of William & Mary). 1 indexed citations

14.

Aurangzaib, Muhammad, et al.. (2018). Developmental Morphology and Biomass Yield of Upland and Lowland Switchgrass Ecotypes Grown in Iowa. Agronomy. 8(5). 61–61. 7 indexed citations

15.

Moore, Kenneth J., et al.. (2018). Biomass Production and Composition of Temperate and Tropical Maize in Central Iowa. Agronomy. 8(6). 88–88. 7 indexed citations

16.

Moore, Kenneth J., et al.. (2017). Phenology and Biomass Production of Adapted and Non‐Adapted Tropical Corn Populations in Central Iowa. Agronomy Journal. 110(1). 171–182. 5 indexed citations

17.

Gill, John R., Scott Staggenborg, G. N. Odvody, et al.. (2014). Yield Results and Stability Analysis from the Sorghum Regional Biomass Feedstock Trial. BioEnergy Research. 7(3). 1026–1034. 51 indexed citations

18.

Hallam, Arne, et al.. (2013). Farm-scale costs and returns for second generation bioenergy cropping systems in the US Corn Belt. Environmental Research Letters. 8(3). 35037–35037. 19 indexed citations

19.

Mitchell, Rob, J. O. Fritz, Kenneth J. Moore, et al.. (2001). Predicting Forage Quality in Switchgrass and Big Bluestem. Agronomy Journal. 93(1). 118–124. 45 indexed citations

20.

Moore, Kenneth J.. (1990). Learning on the Farm. The Educational Background and Needs of New Zealand Farmers.. 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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