Murat Köklü
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Date Palm Research Studies
- GABA and Rice Research
Papers in
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- Spectroscopy and Chemometric Analyses 37
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- Smart Agriculture and AI 30
- GABA and Rice Research 5
- Co-authors
- İlkay Çınar (31 shared papers)İlker Ali Özkan (9 shared papers)Yavuz Selim Taşpınar (29 shared papers)Ramazan Kursun (25 shared papers)Kadir Sabancı (4 shared papers)Muhammed Fahri Ünlerşen (2 shared papers)Şakir Taşdemir (6 shared papers)Dilbag Singh (1 shared paper)
In The Last Decade
Murat Köklü
89 papers receiving 1.8k citations
Murat Köklü's Hit Papers
Peers
Comparison fields: 5 of 142
- Analytical Chemistry 623
- Plant Science 783
- Health Information Management 66
- Artificial Intelligence 337
- Computer Vision and Pattern Recognition 208
Countries citing papers authored by Murat Köklü
This map shows the geographic impact of Murat Köklü'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 Murat Köklü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Köklü more than expected).
Fields of papers citing papers by Murat Köklü
This network shows the impact of papers produced by Murat Köklü. 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 Murat Köklü. The network helps show where Murat Köklü may publish in the future.
Co-authors
The 25 scholars most cited alongside Murat Köklü, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiclass classification of dry beans using computer vision and machine learning techniques Hit paper breakdown → | 2020 | 219 |
| 2 | 2021 | 139 | |
| 3 | 2021 | 132 | |
| 4 | 2019 | 96 | |
| 5 | 2017 | 91 | |
| 6 | 2021 | 70 | |
| 7 | 2018 | 68 | |
| 8 | 2022 | 67 | |
| 9 | 2022 | 59 | |
| 10 | 2022 | 52 | |
| 11 | 2022 | 47 | |
| 12 | 2023 | 45 | |
| 13 | 2023 | 44 | |
| 14 | 2021 | 43 | |
| 15 | 2015 | 42 | |
| 16 | 2021 | 36 | |
| 17 | 2021 | 35 | |
| 18 | 2021 | 34 | |
| 19 | 2021 | 34 | |
| 20 | 2022 | 31 |
About Murat Köklü
Murat Köklü is a scholar working on Analytical Chemistry, Plant Science, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (37 papers), Smart Agriculture and AI (30 papers), Identification and Quantification in Food (8 papers), Advanced Chemical Sensor Technologies (7 papers), Artificial Intelligence in Healthcare (6 papers), Industrial Vision Systems and Defect Detection (6 papers), GABA and Rice Research (5 papers) and Food Supply Chain Traceability (5 papers). The work is most often cited by research in Analytical Chemistry (623 citations), Plant Science (783 citations), Health Information Management (66 citations), Artificial Intelligence (337 citations) and Computer Vision and Pattern Recognition (208 citations). Murat Köklü has collaborated with scholars based in Türkiye, Australia and Algeria. Frequent co-authors include İlkay Çınar, İlker Ali Özkan, Yavuz Selim Taşpınar, Ramazan Kursun, Kadir Sabancı, Muhammed Fahri Ünlerşen, Şakir Taşdemir, Dilbag Singh, Heung-No Lee and Kubilay Kurtulus Baştaş. Their work appears in journals such as European Food Research and Technology, Journal of Food Science, Archives of Computational Methods in Engineering, Computers and Electronics in Agriculture and International Journal of Industrial Engineering Computations.
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.