Immediate Impact

50 standout
Sub-graph 1 of 25

Citing Papers

Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table
2025 Standout
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
2 intermediate papers

Works of Erşan Karababa being referenced

Characterization of Turkish honeys regarding of physicochemical properties, and their adulteration analysis
2016

Author Peers

Author Last Decade Papers Cites
Erşan Karababa 354 354 262 269 22 839
T.K. Goswami 202 572 136 221 50 970
Haydar Hacıseferoğulları 584 257 158 271 21 985
Robert Rusinek 161 220 100 60 55 980
Nazmi İzli 221 598 115 132 42 849
S. Balasubramanian 212 452 324 106 43 811
Asad Mohammad Amini 231 406 301 101 21 806
Valmor Ziegler 474 333 388 48 46 832
Arthur J. McEvily 353 194 129 87 26 921
V. K. Jindal 324 295 285 177 57 783
K. Alagusundaram 388 430 163 93 49 975

All Works

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Rankless by CCL
2026