İlkay Çınar
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- GABA and Rice Research
- Date Palm Research Studies
Papers in
-
- Spectroscopy and Chemometric Analyses 19
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- Smart Agriculture and AI 15
- GABA and Rice Research 4
- Co-authors
- Murat Köklü (31 shared papers)Yavuz Selim Taşpınar (27 shared papers)Ramazan Kursun (15 shared papers)İlker Ali Özkan (3 shared papers)Şakir Taşdemir (4 shared papers)Dilbag Singh (1 shared paper)Heung-No Lee (1 shared paper)Ali Yaşar (3 shared papers)
- Journals
- European Food Research and Technology (3 papers)Computers and Electronics in Agriculture (2 papers)Sensors (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Journal of Food Composition and Analysis (1 paper)
- Partner nations
- TürkiyeAustraliaUnited States
In The Last Decade
İlkay Çınar
41 papers receiving 905 citations
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 398
- Plant Science 481
- Computer Vision and Pattern Recognition 125
- Food Science 82
- Developmental Biology 9
Countries citing papers authored by İlkay Çınar
This map shows the geographic impact of İlkay Çınar'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 İlkay Çınar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İlkay Çınar more than expected).
Fields of papers citing papers by İlkay Çınar
This network shows the impact of papers produced by İlkay Çınar. 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 İlkay Çınar. The network helps show where İlkay Çınar may publish in the future.
Co-authors
The 13 scholars most cited alongside İlkay Çınar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2019 | 96 | |
| 3 | 2021 | 70 | |
| 4 | 2022 | 67 | |
| 5 | 2022 | 59 | |
| 6 | 2022 | 52 | |
| 7 | 2022 | 47 | |
| 8 | 2023 | 44 | |
| 9 | 2021 | 43 | |
| 10 | 2021 | 36 | |
| 11 | 2022 | 31 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 25 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 13 | |
| 20 | Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods | 2020 | 12 |
About İlkay Çınar
İlkay Çınar is a scholar working on Analytical Chemistry, Plant Science, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 44 papers that have together received 933 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (19 papers), Smart Agriculture and AI (15 papers), Identification and Quantification in Food (5 papers), GABA and Rice Research (4 papers), Nuts composition and effects (3 papers), Advanced Chemical Sensor Technologies (3 papers), Advanced Neural Network Applications (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Analytical Chemistry (398 citations), Plant Science (481 citations), Computer Vision and Pattern Recognition (125 citations), Food Science (82 citations) and Developmental Biology (9 citations). İlkay Çınar has collaborated with scholars based in Türkiye, Australia and United States. Frequent co-authors include Murat Köklü, Yavuz Selim Taşpınar, Ramazan Kursun, İlker Ali Özkan, Şakir Taşdemir, Dilbag Singh, Heung-No Lee, Ali Yaşar, Isaac Ofori and Mücahid Mustafa Sarıtaş. Their work appears in journals such as European Food Research and Technology, Computers and Electronics in Agriculture, Sensors, Engineering Applications of Artificial Intelligence and Journal of Food Composition and Analysis.
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.