D. A. Shah

2.4k total citations
82 papers, 1.9k citations indexed

About

D. A. Shah is a scholar working on Plant Science, Computational Mechanics and Cell Biology. According to data from OpenAlex, D. A. Shah has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 31 papers in Computational Mechanics and 15 papers in Cell Biology. Recurrent topics in D. A. Shah's work include Fluid Dynamics and Turbulent Flows (29 papers), Wheat and Barley Genetics and Pathology (21 papers) and Mycotoxins in Agriculture and Food (18 papers). D. A. Shah is often cited by papers focused on Fluid Dynamics and Turbulent Flows (29 papers), Wheat and Barley Genetics and Pathology (21 papers) and Mycotoxins in Agriculture and Food (18 papers). D. A. Shah collaborates with scholars based in United States, Singapore and Australia. D. A. Shah's co-authors include L. V. Madden, R. A. Antonia, S. H. Winoto, L. W. B. Browne, Gary C. Bergstrom, H. R. Dillard, Pierce A. Paul, E. D. De Wolf, Brian A. Nault and A. Infantino and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

D. A. Shah

82 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Shah United States 25 1.1k 569 443 285 227 82 1.9k
Dennis A. Johnson United States 32 2.5k 2.4× 806 1.4× 1.4k 3.1× 229 0.8× 399 1.8× 212 4.0k
David G. Schmale United States 30 1.6k 1.5× 133 0.2× 909 2.1× 153 0.5× 149 0.7× 114 3.0k
P. J. Walklate United Kingdom 22 1.2k 1.1× 180 0.3× 96 0.2× 205 0.7× 34 0.1× 79 1.5k
Dennis Wilson United States 17 748 0.7× 326 0.6× 695 1.6× 33 0.1× 152 0.7× 63 1.9k
David Nuyttens Belgium 33 2.8k 2.6× 521 0.9× 46 0.1× 173 0.6× 54 0.2× 174 3.5k
W. Clint Hoffmann United States 25 1.4k 1.3× 176 0.3× 31 0.1× 234 0.8× 139 0.6× 89 2.1k
Andrew Hewitt Australia 26 1.6k 1.4× 425 0.7× 23 0.1× 76 0.3× 60 0.3× 116 2.0k
Bradley K. Fritz United States 22 1.3k 1.2× 211 0.4× 19 0.0× 151 0.5× 131 0.6× 95 1.8k
Masoud Salyani United States 19 1.2k 1.1× 75 0.1× 50 0.1× 207 0.7× 22 0.1× 78 1.4k
Saikat Basu Canada 22 444 0.4× 168 0.3× 38 0.1× 54 0.2× 121 0.5× 111 1.5k

Countries citing papers authored by D. A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. A. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Shah. A scholar is included among the top collaborators of D. A. Shah 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 D. A. Shah. D. A. Shah 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.
Shah, D. A., et al.. (2024). MSE FINDR: A Shiny R Application to Estimate Mean Square Error Using Treatment Means and Post Hoc Test Results. Plant Disease. 108(7). 1937–1945. 4 indexed citations
2.
Shah, D. A., E. D. De Wolf, Pierce A. Paul, & L. V. Madden. (2023). Into the Trees: Random Forests for Predicting Fusarium Head Blight Epidemics of Wheat in the United States. Phytopathology. 113(8). 1483–1493. 6 indexed citations
3.
Shah, D. A., E. D. De Wolf, Pierce A. Paul, & L. V. Madden. (2021). Accuracy in the prediction of disease epidemics when ensembling simple but highly correlated models. PLoS Computational Biology. 17(3). e1008831–e1008831. 13 indexed citations
4.
Shah, D. A., Thomas R. Butts, Spyridon Mourtzinis, et al.. (2021). A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north‐central United States. Scientific Reports. 11(1). 18769–18769. 5 indexed citations
5.
Shah, D. A., Paul D. Esker, Carl A. Bradley, et al.. (2015). A Profile of and Communication between Certified Crop Advisors and Maize Growers in the Midwest United States. SSRN Electronic Journal. 1 indexed citations
6.
Shah, D. A., et al.. (2013). Predicting Fusarium Head Blight Epidemics With Weather-Driven Pre- and Post-Anthesis Logistic Regression Models. Phytopathology. 103(9). 906–919. 62 indexed citations
7.
Shah, D. A., et al.. (2010). Influence of boron and zinc on growth yield and quality of knolkhol cv. Early White Veinna. Indian Journal of Horticulture. 67(4). 323–328. 2 indexed citations
8.
Nault, Brian A., et al.. (2009). Modeling Temporal Trends in Aphid Vector Dispersal and Cucumber Mosaic Virus Epidemics in Snap Bean. Environmental Entomology. 38(5). 1347–1359. 8 indexed citations
9.
Winoto, S. H., et al.. (2009). Visualizing shear stress in Görtler vortex flow. Journal of Visualization. 12(3). 195–202. 6 indexed citations
10.
Gildow, F. E., et al.. (2008). Transmission Efficiency of Cucumber mosaic virus by Aphids Associated with Virus Epidemics in Snap Bean. Phytopathology. 98(11). 1233–1241. 53 indexed citations
11.
Schmale, David G., Gary C. Bergstrom, & D. A. Shah. (2005). Spatial patterns of viable spore deposition of the corn ear rot pathogen, Gibberella zeae , in first-year corn fields. Canadian Journal of Plant Pathology. 27(2). 225–233. 7 indexed citations
12.
Winoto, S. H., et al.. (2005). Visualizing Görtler vortices. Journal of Visualization. 8(4). 315–322. 19 indexed citations
13.
Nault, Brian A., et al.. (2004). Seasonal and Spatial Dynamics of Alate Aphid Dispersal in Snap Bean Fields in Proximity to Alfalfa and Implications for Virus Management. Environmental Entomology. 33(6). 1593–1601. 35 indexed citations
14.
Dillard, H. R., Robin R. Bellinder, & D. A. Shah. (2003). Integrated management of weeds and diseases in a cabbage cropping system. Crop Protection. 23(2). 163–168. 9 indexed citations
15.
Shah, D. A., Gary C. Bergstrom, & Mark E. Sorrells. (2002). Relationship between wheat seed infection by Stagonospora nodorum and seed weight.. Seed Science and Technology. 30(2). 339–346. 1 indexed citations
16.
Shah, D. A., H. R. Dillard, & A. C. Cobb. (2002). Alternatives to Vinclozolin (Ronilan) for Controlling Gray and White Mold on Snap Bean Pods in New York. Plant Health Progress. 3(1). 12 indexed citations
17.
Chew, Y. T., D. A. Shah, & Jin Wan. (1999). An envelope method for detection of turbulence intermittency in a transitional boundary layer. Fluid Dynamics Research. 24(1). 7–22. 5 indexed citations
18.
Winoto, S. H., et al.. (1997). An Experimental Study on Limiting Flow Condition of a Jet Pump. 607–614. 1 indexed citations
19.
Winoto, S. H., et al.. (1993). SOME EXPERIMENTAL TECHNIQUES TO DETECT TRANSITION IN BOUNDARY LAYER FLOW. Experimental Techniques. 17(5). 25–29. 2 indexed citations
20.
Antonia, R. A., D. A. Shah, & L. W. B. Browne. (1987). The organized motion outside a turbulent wake. The Physics of Fluids. 30(7). 2040–2045. 13 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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