Gretchen A. Mosher

536 total citations
49 papers, 334 citations indexed

About

Gretchen A. Mosher is a scholar working on Plant Science, Radiological and Ultrasound Technology and Food Science. According to data from OpenAlex, Gretchen A. Mosher has authored 49 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 19 papers in Radiological and Ultrasound Technology and 14 papers in Food Science. Recurrent topics in Gretchen A. Mosher's work include Occupational Health and Safety Research (19 papers), Agriculture and Farm Safety (11 papers) and Risk and Safety Analysis (10 papers). Gretchen A. Mosher is often cited by papers focused on Occupational Health and Safety Research (19 papers), Agriculture and Farm Safety (11 papers) and Risk and Safety Analysis (10 papers). Gretchen A. Mosher collaborates with scholars based in United States. Gretchen A. Mosher's co-authors include Steven A. Freeman, Charles R. Hurburgh, Nir Keren, Terri D. Boylston, J. H. MOY, Chad Laux, Erin Bowers, Phillip Owens, H. Winzeler and Kanniah Rajasekaran and has published in prestigious journals such as Frontiers in Microbiology, Risk Analysis and Food Control.

In The Last Decade

Gretchen A. Mosher

41 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gretchen A. Mosher United States 10 110 100 73 46 42 49 334
Yingjun Xu China 10 134 1.2× 77 0.8× 80 1.1× 23 0.5× 60 1.4× 26 418
Steven A. Freeman United States 9 93 0.8× 144 1.4× 13 0.2× 53 1.2× 86 2.0× 57 380
Abdulrahman Basahel Saudi Arabia 9 33 0.3× 89 0.9× 78 1.1× 8 0.2× 56 1.3× 20 381
Hamzeh Soltanali Iran 12 25 0.2× 21 0.2× 20 0.3× 56 1.2× 79 1.9× 21 341
Linlin Jing China 9 57 0.5× 105 1.1× 16 0.2× 85 1.8× 94 2.2× 18 316
Lia Buarque de Macedo Guimarães Brazil 10 19 0.2× 230 2.3× 4 0.1× 20 0.4× 121 2.9× 43 472
Soo-Yong Kim South Korea 6 101 0.9× 87 0.9× 3 0.0× 14 0.3× 64 1.5× 11 348
Tuula Räsänen Finland 9 20 0.2× 237 2.4× 3 0.0× 44 1.0× 112 2.7× 16 343
Rounaq Nayak United Kingdom 7 27 0.2× 83 0.8× 152 2.1× 6 0.1× 32 0.8× 14 294

Countries citing papers authored by Gretchen A. Mosher

Since Specialization
Citations

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

Fields of papers citing papers by Gretchen A. Mosher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gretchen A. Mosher

This figure shows the co-authorship network connecting the top 25 collaborators of Gretchen A. Mosher. A scholar is included among the top collaborators of Gretchen A. Mosher 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 Gretchen A. Mosher. Gretchen A. Mosher 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.
Mosher, Gretchen A., et al.. (2024). Risk assessment of aflatoxin in Iowa corn post‐harvest using an event tree analysis: A case study. Risk Analysis. 45(1). 253–263.
2.
Mosher, Gretchen A., Charles R. Hurburgh, Kanniah Rajasekaran, et al.. (2024). Predicting fumonisins in Iowa corn: Gradient boosting machine learning. Cereal Chemistry. 101(6). 1261–1272. 2 indexed citations
3.
Mosher, Gretchen A., et al.. (2024). Techno-Economic Analysis of Near-Infrared (NIR) Systems at Feed Millsas a Low-Cost, High-Speed Alternative to Feed Ingredient Testing. Journal of Agricultural Engineering (India). 61(5). 675–685. 1 indexed citations
4.
Hurburgh, Charles R., et al.. (2023). Assessing the Feasibility of Meeting Tolerance Limits for GM Adventitious Presence in Corn Supply Chain Using Probabilistic Modeling. Applied Engineering in Agriculture. 39(5). 543–551.
5.
Mosher, Gretchen A., Charles R. Hurburgh, Phillip Owens, et al.. (2023). Gradient boosting machine learning model to predict aflatoxins in Iowa corn. Frontiers in Microbiology. 14. 1248772–1248772. 19 indexed citations
6.
Mosher, Gretchen A., et al.. (2022). Strengths and Success: Technology and Engineering Student Perceptions. The Journal of Technology Studies. 47(2). 9–9.
7.
Hurburgh, Charles R., et al.. (2022). Vulnerability analysis using evidence‐based traceability in the grain supply chain. Cereal Chemistry. 99(4). 860–872. 1 indexed citations
8.
Mosher, Gretchen A., et al.. (2021). Factors that Influence Farm Safety Decisions of Young Adults when Entering Agricultural Grain Bins. Journal of Agricultural Safety and Health. 27(3). 147–158. 1 indexed citations
9.
Freeman, Steven A., et al.. (2020). Applied Machine Learning in Agro-Manufacturing Occupational Incidents. Procedia Manufacturing. 48. 24–30. 7 indexed citations
10.
Hurburgh, Charles R., et al.. (2020). Developing guidance templates and terminology to support multiple traceability objectives in the grain supply chain. Cereal Chemistry. 98(1). 52–69. 5 indexed citations
11.
Shelley, Mack, et al.. (2018). Utilizing Multivariate Analysis for Assessing Student Learning Through Effective College-Industry Partnerships. Iowa State University Digital Repository (Iowa State University). 19(3). 27–32. 5 indexed citations
12.
Mosher, Gretchen A., et al.. (2017). Using Workers’ Compensation Claims Data to Characterize Occupational Injuries in the Commercial Grain Elevator Industry. Journal of Agricultural Safety and Health. 23(3). 203–217. 13 indexed citations
13.
Mosher, Gretchen A., et al.. (2017). Agricultural Worker Injury Comparative Risk Assessment Methodology: Assessing Corn and Biofuel Switchgrass Production Systems. Journal of Agricultural Safety and Health. 23(3). 219–235. 5 indexed citations
15.
Laux, Chad, Gretchen A. Mosher, & Charles R. Hurburgh. (2015). Application of Quality Management Systems to Grain Handling: An Inventory Management Case Study. Applied Engineering in Agriculture. 313–321. 9 indexed citations
16.
Mosher, Gretchen A., Nir Keren, & Charles R. Hurburgh. (2013). Employee Trust and Its Influence on Quality Climate at Two Administration Levels. Iowa State University Digital Repository (Iowa State University). 29(2). 1–12. 3 indexed citations
17.
Mosher, Gretchen A., Nir Keren, Steven A. Freeman, & Charles R. Hurburgh. (2012). Management of Safety and Quality and the Relationship with Employee Decisions in Country Grain Elevators. Journal of Agricultural Safety and Health. 18(3). 195–215. 9 indexed citations
18.
Mosher, Gretchen A., Steven A. Freeman, & Charles R. Hurburgh. (2011). Design of an Online Course in Quality Management Systems for Adult Learners. Iowa State University Digital Repository (Iowa State University). 27(4). 1 indexed citations
19.
Thakur, Maitri, et al.. (2009). Food Safety Series—Traceability in the Bulk Grain Supply Chain. Iowa State University Digital Repository (Iowa State University). 16(3). 20–22. 1 indexed citations
20.
Boylston, Terri D., et al.. (2002). SENSORY QUALITY AND NUTRIENT COMPOSITION OF THREE HAWAIIAN FRUITS TREATED BY X‐IRRADIATION. Journal of Food Quality. 25(5). 419–433. 32 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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