Daniel E. Guyer

2.5k total citations
63 papers, 2.0k citations indexed

About

Daniel E. Guyer is a scholar working on Plant Science, Analytical Chemistry and Nutrition and Dietetics. According to data from OpenAlex, Daniel E. Guyer has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 35 papers in Analytical Chemistry and 9 papers in Nutrition and Dietetics. Recurrent topics in Daniel E. Guyer's work include Spectroscopy and Chemometric Analyses (35 papers), Smart Agriculture and AI (14 papers) and Horticultural and Viticultural Research (11 papers). Daniel E. Guyer is often cited by papers focused on Spectroscopy and Chemometric Analyses (35 papers), Smart Agriculture and AI (14 papers) and Horticultural and Viticultural Research (11 papers). Daniel E. Guyer collaborates with scholars based in United States, Türkiye and China. Daniel E. Guyer's co-authors include Renfu Lu, Ahmed Rady, İsmail Kavdır, Diwan P. Ariana, Irwin R. Donis-González, Chenglu Wen, Anthony Pease, Randolph M. Beaudry, Juan Xing and M. M. Schreiber and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Food Engineering and Journal of the Science of Food and Agriculture.

In The Last Decade

Daniel E. Guyer

62 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
Daniel E. Guyer United States 26 1.2k 1.1k 390 291 203 63 2.0k
Margarita Ruiz‐Altisent Spain 28 1.3k 1.1× 1.3k 1.2× 459 1.2× 325 1.1× 179 0.9× 115 2.2k
Ye Sun China 25 946 0.8× 655 0.6× 408 1.0× 302 1.0× 171 0.8× 67 1.7k
Enrique Moltó Spain 30 1.6k 1.4× 2.0k 1.9× 518 1.3× 315 1.1× 219 1.1× 83 3.1k
Qibing Zhu China 28 1.5k 1.3× 1000 1.0× 569 1.5× 306 1.1× 204 1.0× 89 2.4k
Wen‐Hao Su China 29 1.1k 0.9× 993 0.9× 477 1.2× 276 0.9× 131 0.6× 86 2.1k
María‐Teresa Sánchez Spain 29 1.4k 1.2× 667 0.6× 494 1.3× 529 1.8× 323 1.6× 88 2.0k
Changyeun Mo South Korea 26 1.3k 1.1× 674 0.6× 604 1.5× 349 1.2× 163 0.8× 99 2.1k
Fernando Mendoza United States 26 1.4k 1.3× 1.1k 1.0× 523 1.3× 677 2.3× 244 1.2× 49 2.6k
Huirong Xu China 22 1.0k 0.9× 600 0.6× 462 1.2× 247 0.8× 298 1.5× 81 1.5k
Els Herremans Belgium 28 611 0.5× 956 0.9× 303 0.8× 504 1.7× 93 0.5× 45 1.9k

Countries citing papers authored by Daniel E. Guyer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Guyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Guyer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Guyer. A scholar is included among the top collaborators of Daniel E. Guyer 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 Daniel E. Guyer. Daniel E. Guyer 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.
Song, Guo‐qing, Qiuxia Chen, Pete Callow, et al.. (2020). Efficient Micropropagation of Chestnut Hybrids (Castanea spp.) Using Modified Woody Plant Medium and Zeatin Riboside. Horticultural Plant Journal. 7(2). 174–180. 12 indexed citations
2.
Rady, Ahmed, Daniel E. Guyer, W. W. Kirk, & Irwin R. Donis-González. (2019). Prediction of the Leaf Primordia of Potato Tubers Using Sensor Fusion and Wavelength Selection. Journal of Imaging. 5(1). 10–10. 1 indexed citations
3.
Donis-González, Irwin R., Daniel E. Guyer, & Anthony Pease. (2016). Postharvest noninvasive assessment of undesirable fibrous tissue in fresh processing carrots using computer tomography images. Journal of Food Engineering. 190. 154–166. 20 indexed citations
4.
Donis-González, Irwin R., Sanghyup Jeong, Daniel E. Guyer, & Dennis W. Fulbright. (2016). Microbial Contamination in Peeled Chestnuts and the Efficacy of Postprocessing Treatments for Microbial Spoilage Management. Journal of Food Processing and Preservation. 41(2). e12874–e12874. 3 indexed citations
5.
Donis-González, Irwin R., Daniel E. Guyer, İsmail Kavdır, Dena Shahriari, & Anthony Pease. (2015). Development and applicability of an agarose-based tart cherry phantom for computer tomography imaging. Journal of Food Measurement & Characterization. 9(3). 290–298. 4 indexed citations
6.
Rady, Ahmed & Daniel E. Guyer. (2015). Rapid and/or nondestructive quality evaluation methods for potatoes: A review. Computers and Electronics in Agriculture. 117. 31–48. 60 indexed citations
7.
Rady, Ahmed, Daniel E. Guyer, W. W. Kirk, & Irwin R. Donis-González. (2014). The potential use of visible/near infrared spectroscopy and hyperspectral imaging to predict processing-related constituents of potatoes. Journal of Food Engineering. 135. 11–25. 50 indexed citations
8.
Wen, Chenglu & Daniel E. Guyer. (2012). Image-based orchard insect automated identification and classification method. Computers and Electronics in Agriculture. 89. 110–115. 104 indexed citations
9.
Fulbright, Dennis W., et al.. (2010). SHELL MOLD AND KERNEL DECAY OF FRESH CHESTNUTS IN MICHIGAN. Acta Horticulturae. 353–362. 18 indexed citations
10.
Kavdır, İsmail & Daniel E. Guyer. (2007). Evaluation of different pattern recognition techniques for apple sorting. Biosystems Engineering. 99(2). 211–219. 45 indexed citations
11.
Ariana, Diwan P., Renfu Lu, & Daniel E. Guyer. (2005). Detection of mechanical injury on pickling cucumbers using near-infrared hyperspectral imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5996. 59960P–59960P. 1 indexed citations
12.
Kavdır, İsmail & Daniel E. Guyer. (2004). Comparison of Artificial Neural Networks and Statistical Classifiers in Apple Sorting using Textural Features. Biosystems Engineering. 89(3). 331–344. 77 indexed citations
13.
Kavdır, İsmail & Daniel E. Guyer. (2003). Apple Grading Using Fuzzy Logic. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY. 27(6). 375–382. 55 indexed citations
14.
Guyer, Daniel E., et al.. (2000). Identifying apple defects by utilizing spectral imaging, fluorescence and genetic neural networks.. 1–13. 1 indexed citations
15.
Guyer, Daniel E., et al.. (1997). CONCENTRATION OF ONION JUICE VOLATILES BY REVERSE OSMOSIS AND ITS EFFECTS ON SUPERCRITICAL CO2 EXTRACTION. Journal of Food Process Engineering. 20(2). 125–139. 9 indexed citations
16.
Timm, E. J., et al.. (1995). Michigan Sweet Cherry Color Measurement and Prototype Color Chip Development. Applied Engineering in Agriculture. 11(3). 403–407. 7 indexed citations
17.
Guyer, Daniel E., et al.. (1993). PHYSICOCHEMICAL AND SENSORY CHARACTERISTICS OF SELECTED MICHIGAN SWEET CHERRY (Prunus avium L.) CULTIVARS. Journal of Food Quality. 16(5). 355–370. 41 indexed citations
18.
Guyer, Daniel E., et al.. (1990). How to minimize apple bruising in the packing line.. Paper - American Society of Agricultural Engineers. 1 indexed citations
19.
Guyer, Daniel E. & Gaines E. Miles. (1988). Application of machine vision to human shape analysis techniques in leaf and plant identification: an intelligent vision structure. Purdue e-Pubs (Purdue University System).
20.
Guyer, Daniel E., Gaines E. Miles, M. M. Schreiber, O.R. Mitchell, & V. C. Vanderbilt. (1986). Machine Vision and Image Processing for Plant Identification. Transactions of the ASAE. 29(6). 1500–1507. 107 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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