Ahmed Rady

1.1k total citations
31 papers, 821 citations indexed

About

Ahmed Rady is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Ahmed Rady has authored 31 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 13 papers in Plant Science and 10 papers in Biomedical Engineering. Recurrent topics in Ahmed Rady's work include Spectroscopy and Chemometric Analyses (24 papers), Advanced Chemical Sensor Technologies (10 papers) and Potato Plant Research (6 papers). Ahmed Rady is often cited by papers focused on Spectroscopy and Chemometric Analyses (24 papers), Advanced Chemical Sensor Technologies (10 papers) and Potato Plant Research (6 papers). Ahmed Rady collaborates with scholars based in United States, United Kingdom and Egypt. Ahmed Rady's co-authors include Daniel E. Guyer, Akinbode A. Adedeji, Nicholas J. Watson, Renfu Lu, Irwin R. Donis-González, W. W. Kirk, Alexander L. Bowler, Reza Alimardani, Samet Ozturk and Mengxing Li and has published in prestigious journals such as Sensors, Journal of Food Engineering and Sustainability.

In The Last Decade

Ahmed Rady

30 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed Rady United States 16 549 267 244 176 171 31 821
Silvia Arazuri Garín Spain 17 518 0.9× 174 0.7× 430 1.8× 237 1.3× 103 0.6× 54 963
Tiziana M.P. Cattaneo Italy 17 358 0.7× 204 0.8× 166 0.7× 248 1.4× 185 1.1× 61 786
Chyngyz Erkinbaev Canada 18 447 0.8× 158 0.6× 232 1.0× 179 1.0× 52 0.3× 39 734
Aiguo Ouyang China 15 588 1.1× 236 0.9× 215 0.9× 109 0.6× 52 0.3× 66 799
Carmen Jarén Spain 19 531 1.0× 177 0.7× 557 2.3× 313 1.8× 104 0.6× 60 1.2k
Jongguk Lim South Korea 18 586 1.1× 473 1.8× 254 1.0× 178 1.0× 420 2.5× 57 1.1k
Feifei Tao United States 15 653 1.2× 301 1.1× 259 1.1× 94 0.5× 163 1.0× 39 877
Robbe Van Beers Belgium 16 710 1.3× 371 1.4× 277 1.1× 108 0.6× 51 0.3× 28 1.1k
Xiuqin Rao China 14 712 1.3× 293 1.1× 326 1.3× 100 0.6× 68 0.4× 48 903
W. Mazurek Poland 13 620 1.1× 220 0.8× 385 1.6× 157 0.9× 59 0.3× 41 949

Countries citing papers authored by Ahmed Rady

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Rady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed Rady. 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 Ahmed Rady. The network helps show where Ahmed Rady may publish in the future.

Co-authorship network of co-authors of Ahmed Rady

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Rady. A scholar is included among the top collaborators of Ahmed Rady 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 Ahmed Rady. Ahmed Rady 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.
Rady, Ahmed, et al.. (2025). Computer Vision and Transfer Learning for Grading of Egyptian Cotton Fibres. AgriEngineering. 7(5). 127–127.
2.
Ropelewska, Ewa, Ahmed Rady, & Nicholas J. Watson. (2023). Apricot Stone Classification Using Image Analysis and Machine Learning. Sustainability. 15(12). 9259–9259. 9 indexed citations
3.
Adedeji, Akinbode A., et al.. (2023). Utilization of FTIR and Machine Learning for Evaluating Gluten-Free Bread Contaminated with Wheat Flour. Sustainability. 15(11). 8742–8742. 10 indexed citations
4.
Ropelewska, Ewa, D. Kruczyńska, Ahmed Rady, et al.. (2023). Evaluating the Classification of Freeze-Dried Slices and Cubes of Red-Fleshed Apple Genotypes Using Image Textures, Color Parameters, and Machine Learning. Agriculture. 13(3). 562–562. 3 indexed citations
5.
Fisher, Oliver J., et al.. (2023). AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden. Sensors. 23(21). 8671–8671. 6 indexed citations
6.
Rady, Ahmed, et al.. (2022). Detection and quantification of peanut contamination in garlic powder using NIR sensors and machine learning. Journal of Food Composition and Analysis. 114. 104820–104820. 8 indexed citations
7.
Ozturk, Samet, Alexander L. Bowler, Ahmed Rady, & Nicholas J. Watson. (2022). Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process. Journal of Food Engineering. 341. 111339–111339. 44 indexed citations
8.
Fisher, Oliver J., et al.. (2022). An image processing and machine learning solution to automate Egyptian cotton lint grading. Textile Research Journal. 93(11-12). 2558–2575. 4 indexed citations
9.
Rady, Ahmed, Akinbode A. Adedeji, & Nicholas J. Watson. (2021). Feasibility of utilizing color imaging and machine learning for adulteration detection in minced meat. Journal of Agriculture and Food Research. 6. 100251–100251. 23 indexed citations
10.
11.
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
12.
Rady, Ahmed, et al.. (2018). Evaluation of Carrot Quality Using Visible-Near Infrared Spectroscopy and Multivariate Analysis. Journal of Food Research. 7(4). 80–80. 6 indexed citations
13.
Rady, Ahmed & Akinbode A. Adedeji. (2017). Assessing different processed meats for adulterants using visible-near-infrared spectroscopy. Meat Science. 136. 59–67. 92 indexed citations
14.
Rady, Ahmed, et al.. (2017). Hyperspectral imaging for detection of codling moth infestation in GoldRush apples. Postharvest Biology and Technology. 129. 37–44. 55 indexed citations
15.
Rady, Ahmed, et al.. (2017). Application of Hyperspectral Imaging and Acoustic Emission Techniques for Apple Quality Prediction. Transactions of the ASABE. 60(4). 1391–1401. 11 indexed citations
16.
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
17.
Rady, Ahmed & Daniel E. Guyer. (2015). Evaluation of sugar content in potatoes using NIR reflectance and wavelength selection techniques. Postharvest Biology and Technology. 103. 17–26. 56 indexed citations
18.
Rady, Ahmed, Daniel E. Guyer, & Renfu Lu. (2015). Evaluation of Sugar Content of Potatoes using Hyperspectral Imaging. Food and Bioprocess Technology. 8(5). 995–1010. 78 indexed citations
19.
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
20.
Rady, Ahmed & Daniel E. Guyer. (2014). Utilization of visible/near-infrared spectroscopic and wavelength selection methods in sugar prediction and potatoes classification. Journal of Food Measurement & Characterization. 9(1). 20–34. 12 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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