Scott E. Warnke

953 total citations
47 papers, 643 citations indexed

About

Scott E. Warnke is a scholar working on Plant Science, Environmental Chemistry and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Scott E. Warnke has authored 47 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 32 papers in Environmental Chemistry and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Scott E. Warnke's work include Turfgrass Adaptation and Management (32 papers), Wheat and Barley Genetics and Pathology (14 papers) and Plant Disease Resistance and Genetics (11 papers). Scott E. Warnke is often cited by papers focused on Turfgrass Adaptation and Management (32 papers), Wheat and Barley Genetics and Pathology (14 papers) and Plant Disease Resistance and Genetics (11 papers). Scott E. Warnke collaborates with scholars based in United States, Australia and South Korea. Scott E. Warnke's co-authors include Sung‐Chur Sim, Randolph Barker, David S. Douches, G. Jung, Geunhwa Jung, Taehyun Chang, Keenan Amundsen, Faith C. Belanger, B. E. Branham and B. Shaun Bushman and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Remote Sensing.

In The Last Decade

Scott E. Warnke

45 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott E. Warnke United States 15 520 280 106 104 101 47 643
U. K. Posselt Germany 12 342 0.7× 132 0.5× 82 0.8× 136 1.3× 126 1.2× 22 483
Bryan Kindiger United States 15 579 1.1× 75 0.3× 119 1.1× 161 1.5× 160 1.6× 47 773
Steven Yates Switzerland 17 515 1.0× 53 0.2× 143 1.3× 122 1.2× 107 1.1× 32 681
Ivan W. Mott United States 13 375 0.7× 50 0.2× 88 0.8× 152 1.5× 94 0.9× 35 589
Prabin Bajgain United States 15 470 0.9× 70 0.3× 227 2.1× 27 0.3× 203 2.0× 39 652
Louise Bach Jensen Denmark 12 617 1.2× 132 0.5× 140 1.3× 121 1.2× 148 1.5× 17 671
L. P. Tredway United States 15 531 1.0× 211 0.8× 24 0.2× 176 1.7× 16 0.2× 47 669
M. O. Humphreys United Kingdom 14 503 1.0× 281 1.0× 139 1.3× 225 2.2× 341 3.4× 24 780
Shui‐zhang Fei United States 13 500 1.0× 76 0.3× 55 0.5× 72 0.7× 88 0.9× 30 629
Richard E. Falloon New Zealand 21 921 1.8× 76 0.3× 10 0.1× 138 1.3× 68 0.7× 63 1.1k

Countries citing papers authored by Scott E. Warnke

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Warnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott E. Warnke

This figure shows the co-authorship network connecting the top 25 collaborators of Scott E. Warnke. A scholar is included among the top collaborators of Scott E. Warnke 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 Scott E. Warnke. Scott E. Warnke 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.
Warnke, Scott E. & Daniel Miller Runfola. (2025). From Prediction to Explanation: Using Explainable AI to Understand Satellite-Based Riot Forecasting Models. Remote Sensing. 17(2). 313–313.
2.
Warnke, Scott E. & Daniel Miller Runfola. (2024). Predicting Protests and Riots in Urban Environments With Satellite Imagery and Deep Learning. Transactions in GIS. 28(7). 2309–2327. 2 indexed citations
3.
Bushman, B. Shaun, Matthew D. Robbins, Joseph G. Robins, et al.. (2021). Transcript responses to drought in Kentucky bluegrass (Poa pratensis L.) germplasm varying in their tolerance to drought stress. Environmental and Experimental Botany. 190. 104571–104571. 11 indexed citations
4.
Warnke, Scott E., et al.. (2020). Going Beyond Promoting: Preparing Students to Creatively Solve Future Problems. Journal of Humanistic Mathematics. 10(2). 348–376.
5.
Sykes, Virginia R., David S. McCall, Anton Baudoin, et al.. (2019). Screening Tall Fescue for Resistance to Rhizoctonia solani and Rhizoctonia zeae Using Digital Image Analysis. Plant Disease. 104(2). 358–362. 5 indexed citations
6.
Bushman, B. Shaun, Keenan L. Amundsen, Scott E. Warnke, Joseph G. Robins, & Paul G. Johnson. (2016). Transcriptome profiling of Kentucky bluegrass (Poa pratensis L.) accessions in response to salt stress. BMC Genomics. 17(1). 48–48. 35 indexed citations
8.
Sim, Sung‐Chur, et al.. (2013). Comparative Genome Analysis between Agrostis stolonifera and Members of the Pooideae Subfamily, including Brachypodium distachyon. PLoS ONE. 8(11). e79425–e79425. 4 indexed citations
9.
Amundsen, Keenan & Scott E. Warnke. (2012). Agrostis Species Relationships Based on trnL-trnF and atpI-atpH Intergenic Spacer Regions. HortScience. 47(1). 18–24. 5 indexed citations
10.
Yu, Xiaoqing, Guihua Bai, Na Luo, et al.. (2010). Association of simple sequence repeat (SSR) markers with submergence tolerance in diverse populations of perennial ryegrass. Plant Science. 180(2). 391–398. 32 indexed citations
11.
Fei, Shui‐zhang, et al.. (2009). Identification of genes associated with cold acclimation in perennial ryegrass. Journal of Plant Physiology. 166(13). 1436–1445. 38 indexed citations
12.
Jo, Young‐Ki, et al.. (2008). Comparative analysis of multiple disease resistance in ryegrass and cereal crops. Theoretical and Applied Genetics. 117(4). 531–543. 21 indexed citations
13.
Rotter, David, Arvind K. Bharti, Chongyuan Luo, et al.. (2007). Analysis of EST sequences suggests recent origin of allotetraploid colonial and creeping bentgrasses. Molecular Genetics and Genomics. 278(2). 197–209. 17 indexed citations
14.
Warnke, Scott E., et al.. (2006). Mapping QTL for dollar spot resistance in creeping bentgrass (Agrostis stolonifera L.). Theoretical and Applied Genetics. 113(8). 1421–1435. 14 indexed citations
15.
Sim, Sung‐Chur, et al.. (2005). QTL mapping of resistance to gray leaf spot in ryegrass. Theoretical and Applied Genetics. 111(6). 1107–1117. 29 indexed citations
16.
Warnke, Scott E., et al.. (2005). Linkage map construction in allotetraploid creeping bentgrass (Agrostis stolonifera L.). Theoretical and Applied Genetics. 111(4). 795–803. 24 indexed citations
17.
Sim, Sung‐Chur, et al.. (2005). Chromosomal rearrangements differentiating the ryegrass genome from the Triticeae, oat, and rice genomes using common heterologous RFLP probes. Theoretical and Applied Genetics. 110(6). 1011–1019. 60 indexed citations
18.
Warnke, Scott E., Randolph Barker, Geunhwa Jung, et al.. (2004). Genetic linkage mapping of an annual × perennial ryegrass population. Theoretical and Applied Genetics. 109(2). 294–304. 61 indexed citations
19.
Warnke, Scott E., David S. Douches, & B. E. Branham. (1997). Relationships among Creeping Bentgrass Cultivars Based on Isozyme Polymorphisms. Crop Science. 37(1). 203–207. 17 indexed citations
20.
Freyre, Rosanna, Scott E. Warnke, Bryon Sosinski, & David S. Douches. (1994). Quantitative trait locus analysis of tuber dormancy in diploid potato (Solanum spp.). Theoretical and Applied Genetics. 89(4). 474–480. 46 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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