Muhammad A. Shahin

807 total citations
23 papers, 620 citations indexed

About

Muhammad A. Shahin is a scholar working on Analytical Chemistry, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Muhammad A. Shahin has authored 23 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Analytical Chemistry, 13 papers in Plant Science and 6 papers in Animal Science and Zoology. Recurrent topics in Muhammad A. Shahin's work include Spectroscopy and Chemometric Analyses (16 papers), Meat and Animal Product Quality (6 papers) and Food composition and properties (4 papers). Muhammad A. Shahin is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Meat and Animal Product Quality (6 papers) and Food composition and properties (4 papers). Muhammad A. Shahin collaborates with scholars based in Canada and Italy. Muhammad A. Shahin's co-authors include Stephen J. Symons, David W. Hatcher, Juan Xing, E. W. Tollner, Gianfranco Venora, Oscar Grillo, D. W. Hatcher, R. W. McClendon, Vaino Poysa and Suresh Neethirajan and has published in prestigious journals such as Food Research International, Computers and Electronics in Agriculture and Journal of Anxiety Disorders.

In The Last Decade

Muhammad A. Shahin

22 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad A. Shahin Canada 13 418 339 120 97 92 23 620
Sirinnapa Saranwong Japan 11 492 1.2× 261 0.8× 150 1.3× 131 1.4× 88 1.0× 21 642
Ron P. Haff United States 12 351 0.8× 188 0.6× 72 0.6× 132 1.4× 79 0.9× 25 483
Lidia Esteve Agelet United States 6 365 0.9× 172 0.5× 157 1.3× 75 0.8× 59 0.6× 8 467
Chyngyz Erkinbaev Canada 18 447 1.1× 232 0.7× 111 0.9× 158 1.6× 179 1.9× 39 734
Adel Elsayed United Kingdom 7 563 1.3× 298 0.9× 109 0.9× 196 2.0× 255 2.8× 35 895
Kazuhiro Nakano Japan 14 464 1.1× 281 0.8× 106 0.9× 113 1.2× 99 1.1× 39 621
Collins Wakholi South Korea 15 346 0.8× 295 0.9× 94 0.8× 83 0.9× 85 0.9× 28 536
Irina Torres Spain 16 436 1.0× 168 0.5× 115 1.0× 187 1.9× 81 0.9× 39 547
Ian A. Cowe United Kingdom 13 401 1.0× 242 0.7× 162 1.4× 131 1.4× 83 0.9× 24 739
B. de la Roza-Delgado Spain 13 324 0.8× 153 0.5× 137 1.1× 165 1.7× 74 0.8× 34 672

Countries citing papers authored by Muhammad A. Shahin

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad A. Shahin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad A. Shahin

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad A. Shahin. A scholar is included among the top collaborators of Muhammad A. Shahin 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 Muhammad A. Shahin. Muhammad A. Shahin 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.
Shahin, Muhammad A., Stephen J. Symons, & D. W. Hatcher. (2013). Quantification of Mildew Damage in Soft Red Winter Wheat Based on Spectral Characteristics of Bulk Samples: A Comparison of Visible-Near-Infrared Imaging and Near-Infrared Spectroscopy. Food and Bioprocess Technology. 7(1). 224–234. 30 indexed citations
2.
Shahin, Muhammad A. & Stephen J. Symons. (2012). Detection of fusarium damage in Canadian wheat using visible/near-infrared hyperspectral imaging. Journal of Food Measurement & Characterization. 6(1-4). 3–11. 38 indexed citations
3.
Xing, Juan, Stephen J. Symons, David W. Hatcher, & Muhammad A. Shahin. (2011). Comparison of short-wavelength infrared (SWIR) hyperspectral imaging system with an FT-NIR spectrophotometer for predicting alpha-amylase activities in individual Canadian Western Red Spring (CWRS) wheat kernels. Biosystems Engineering. 108(4). 303–310. 28 indexed citations
4.
Xing, Juan, Stephen J. Symons, Muhammad A. Shahin, & David W. Hatcher. (2010). Detection of sprout damage in Canada Western Red Spring wheat with multiple wavebands using visible/near-infrared hyperspectral imaging. Biosystems Engineering. 106(2). 188–194. 55 indexed citations
5.
Xing, Juan, Stephen J. Symons, Muhammad A. Shahin, & David W. Hatcher. (2010). Sprouting detection at early stages in individual CWAD and CWRS wheat kernels using SWIR spectroscopy. 4(3-4). 95–100. 2 indexed citations
6.
Shahin, Muhammad A., D. W. Hatcher, & Stephen J. Symons. (2010). ORIGINAL ARTICLE: Assessment of mildew levels in wheat samples based on spectral characteristics of bulk grains. Quality Assurance and Safety of Crops & Foods. 2(3). 133–140. 9 indexed citations
7.
Shahin, Muhammad A. & Stephen J. Symons. (2010). Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis. Computers and Electronics in Agriculture. 75(1). 107–112. 131 indexed citations
8.
Shahin, Muhammad A. & Stephen J. Symons. (2009). Design of a multispectral imaging system for detecting mildew damage on wheat kernels. Journal of Anxiety Disorders. 22(3). 495–504. 4 indexed citations
9.
Symons, Stephen J., et al.. (2009). Measurement of Spaghetti Speck Count, Size, and Color Using an Automated Imaging System. Cereal Chemistry. 86(2). 164–169. 2 indexed citations
10.
Xing, Juan, Pham Van Hung, Stephen J. Symons, Muhammad A. Shahin, & David W. Hatcher. (2009). Using a Short Wavelength Infrared (SWIR) hyperspectral imaging system to predict alpha amylase activity in individual Canadian western wheat kernels. 3(4). 211–218. 32 indexed citations
11.
Neethirajan, Suresh, et al.. (2007). Evaluation of the effect of moisture content on cereal grains by digital image analysis. Food Research International. 40(9). 1140–1145. 52 indexed citations
12.
Shahin, Muhammad A., David W. Hatcher, & Stephen J. Symons. (2006). Use of imaging methods for assessment of asian noodle color. Cereal Foods World. 51(4). 172–172. 4 indexed citations
13.
Shahin, Muhammad A., Stephen J. Symons, & Vaino Poysa. (2006). Determining Soya Bean Seed Size Uniformity with Image Analysis. Biosystems Engineering. 94(2). 191–198. 29 indexed citations
14.
Venora, Gianfranco, Oscar Grillo, Muhammad A. Shahin, & Stephen J. Symons. (2006). Identification of Sicilian landraces and Canadian cultivars of lentil using an image analysis system. Food Research International. 40(1). 161–166. 61 indexed citations
15.
Shahin, Muhammad A., et al.. (2005). A MACHINE VISION SYSTEM TO DETECT HARD VITREOUS KERNELS IN DURUM WHEAT. 4 indexed citations
16.
17.
Shahin, Muhammad A., et al.. (2004). Seed Sizing with Image Analysis. 2004, Ottawa, Canada August 1 - 4, 2004. 7 indexed citations
18.
Shahin, Muhammad A. & Stephen J. Symons. (2003). Color Calibration of Scanners for Scanner‐Independent Grain Grading. Cereal Chemistry. 80(3). 285–289. 42 indexed citations
19.
Shahin, Muhammad A. & Stephen J. Symons. (2001). Lentil seed size distribution with machine vision. 2001 Sacramento, CA July 29-August 1,2001. 10 indexed citations
20.
Shahin, Muhammad A., et al.. (2000). FUZZY LOGIC MODEL FOR PREDICTING PEANUT MATURITY. Transactions of the ASAE. 43(2). 483–490. 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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