D. S. Jayas

1.4k total citations
36 papers, 1.1k citations indexed

About

D. S. Jayas is a scholar working on Plant Science, Analytical Chemistry and Food Science. According to data from OpenAlex, D. S. Jayas has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 19 papers in Analytical Chemistry and 9 papers in Food Science. Recurrent topics in D. S. Jayas's work include Spectroscopy and Chemometric Analyses (19 papers), Smart Agriculture and AI (14 papers) and Food Drying and Modeling (7 papers). D. S. Jayas is often cited by papers focused on Spectroscopy and Chemometric Analyses (19 papers), Smart Agriculture and AI (14 papers) and Food Drying and Modeling (7 papers). D. S. Jayas collaborates with scholars based in Canada, India and Iran. D. S. Jayas's co-authors include Jitendra Paliwal, Samir R. Majumdar, N.S. Visen, N. D. G. White, Xiangyang Luo, P. Shatadal, N. R. Bulley, H.K. Mebatsion, Stephen J. Symons and Germán Mazza and has published in prestigious journals such as Computers and Electronics in Agriculture, Journal of Cereal Science and Biosystems Engineering.

In The Last Decade

D. S. Jayas

35 papers receiving 965 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. S. Jayas Canada 16 730 713 182 162 118 36 1.1k
Kunjie Chen China 20 580 0.8× 442 0.6× 305 1.7× 183 1.1× 67 0.6× 80 1.2k
Tadhg Brosnan Ireland 8 840 1.2× 625 0.9× 378 2.1× 447 2.8× 69 0.6× 9 1.6k
Huazhong Lu China 18 323 0.4× 392 0.5× 229 1.3× 96 0.6× 107 0.9× 74 942
Margarita Ruiz‐Altisent Spain 28 1.3k 1.7× 1.3k 1.8× 459 2.5× 325 2.0× 179 1.5× 115 2.2k
Stephen J. Symons Canada 24 574 0.8× 752 1.1× 133 0.7× 165 1.0× 74 0.6× 56 1.3k
Daniel E. Guyer United States 26 1.2k 1.6× 1.1k 1.5× 390 2.1× 291 1.8× 39 0.3× 63 2.0k
Cheng‐Jin Du Ireland 17 977 1.3× 370 0.5× 516 2.8× 285 1.8× 62 0.5× 42 1.6k
N.S. Visen Canada 10 383 0.5× 332 0.5× 80 0.4× 58 0.4× 79 0.7× 12 613
Huirong Xu China 22 1.0k 1.4× 600 0.8× 462 2.5× 247 1.5× 43 0.4× 81 1.5k
Zhongzhi Han China 20 566 0.8× 706 1.0× 239 1.3× 70 0.4× 53 0.4× 80 1.4k

Countries citing papers authored by D. S. Jayas

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Jayas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. S. Jayas

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Jayas. A scholar is included among the top collaborators of D. S. Jayas 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. S. Jayas. D. S. Jayas 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.
Yang, Qian, et al.. (2013). Feasibility of protein fingerprinting technology for detecting Tribolium castaneum (Herbst) insect fragments in wheat flour. Journal of Stored Products Research. 55. 36–40. 2 indexed citations
2.
Kheiralipour, Kamran, et al.. (2013). Development of a New Threshold Based Classification Model for Analyzing Thermal Imaging Data to Detect Fungal Infection of Pistachio Kernel. Agricultural Research. 2(2). 127–131. 15 indexed citations
3.
Jian, Fuji, D. S. Jayas, & N. D. G. White. (2012). Thermal Conductivity, Bulk Density, and Germination of a Canola Variety with High Oil Content under Different Temperatures, Moisture Contents, and Storage Periods. Transactions of the ASABE. 55(5). 1837–1843. 7 indexed citations
4.
Paliwal, Jitendra, et al.. (2008). Classification of cereal grains using wavelet, morphological, colour, and textural features of non-touching kernel images. Biosystems Engineering. 99(3). 330–337. 104 indexed citations
5.
Manickavasagan, Annamalai, et al.. (2008). Comparison of illuminations to identify wheat classes using monochrome images. Computers and Electronics in Agriculture. 63(2). 237–244. 26 indexed citations
6.
Neethirajan, Suresh, et al.. (2006). Assessment of Machine Vision Algorithm for Quantification of Foreign Matter in Wheat. 2006 Portland, Oregon, July 9-12, 2006. 1 indexed citations
7.
Paliwal, Jitendra, D. S. Jayas, N.S. Visen, & N. D. G. White. (2004). FEASIBILITY OF A MACHINE-VISION-BASED GRAIN CLEANER. Applied Engineering in Agriculture. 20(2). 245–248. 8 indexed citations
8.
Jayas, D. S., et al.. (2001). TECHNICAL NOTES: NEAR EQUILIBRIUM MOISTURE CONTENT VALUES FOR HULLLESS OATS. Applied Engineering in Agriculture. 17(3). 1 indexed citations
9.
Majumdar, Samir R. & D. S. Jayas. (2000). CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: I. MORPHOLOGY MODELS. Transactions of the ASAE. 43(6). 1669–1675. 132 indexed citations
10.
Mazza, Giuseppe, et al.. (1999). MOISTURE SORPTION CHARACTERISTICS OF FREEZE-DRIED, OSMOFREEZE-DRIED, AND OSMO-AIR-DRIED CHERRIES AND BLUEBERRIES. Transactions of the ASAE. 42(1). 141–147. 21 indexed citations
11.
Paliwal, Jitendra, D. S. Jayas, N. D. G. White, & W. E. Muir. (1999). EFFECT OF PNEUMATIC CONVEYING OF WHEAT ON MORTALITY OF INSECTS. Applied Engineering in Agriculture. 15(1). 65–68. 5 indexed citations
12.
Luo, Xiangyang, D. S. Jayas, & Stephen J. Symons. (1999). COMPARISON OF STATISTICAL AND NEURAL NETWORK METHODS FOR CLASSIFYING CEREAL GRAINS USING MACHINE VISION. Transactions of the ASAE. 42(2). 413–419. 38 indexed citations
13.
Paliwal, Jitendra, et al.. (1999). GRAIN KERNEL IDENTIFICATION USING KERNEL SIGNATURE. Transactions of the ASAE. 42(6). 1921–1924. 43 indexed citations
14.
White, N. D. G. & D. S. Jayas. (1996). Deterioration during storage in wild rice, Zizania palustris, and polished basmati rice, Oryza sativa, and potential for insect infestation. Seed Science and Technology. 24(2). 261–271. 6 indexed citations
15.
Shatadal, P., D. S. Jayas, & N. R. Bulley. (1995). Digital Image Analysis for Software Separation and Classification of Touching Grains: II. Classification. Transactions of the ASAE. 38(2). 645–649. 39 indexed citations
16.
Shatadal, P., D. S. Jayas, & N. R. Bulley. (1995). Digital Image Analysis for Software Separation and Classification of Touching Grains: I. Disconnect Algorithm. Transactions of the ASAE. 38(2). 635–643. 37 indexed citations
17.
Jayas, D. S., et al.. (1994). Presentation of Airflow Resistance Data of Seed Bulks. Applied Engineering in Agriculture. 10(1). 79–83. 5 indexed citations
18.
Weres, J. & D. S. Jayas. (1994). Effects of Corn Kernel Properties on Predictions of Moisture Transport in the Thin-layer Drying of Corn. Transactions of the ASAE. 37(5). 1695–1705. 10 indexed citations
19.
Jayas, D. S., S. Sokhansanj, & N. D. G. White. (1989). Bulk Density and Porosity of Two Canola Species. Transactions of the ASAE. 32(1). 291–294. 13 indexed citations
20.
Jayas, D. S., et al.. (1988). Equilibrium Moisture-Equilibrium Relative Humidity Relationship for Canola Meal. Transactions of the ASAE. 31(5). 1585–1588. 7 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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