Immediate Impact

58 standout
Sub-graph 1 of 23

Citing Papers

Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
2024 Standout
An extensive review of hyperspectral image classification and prediction: techniques and challenges
2024 Standout
2 intermediate papers

Works of M. Prevolnik being referenced

An attempt to predict pork drip loss from pH and colour measurements or near infrared spectra using artificial neural networks
2009
Predicting Intramuscular Fat Content in Pork and Beef by near Infrared Spectroscopy
2005
and 3 more

Author Peers

Author Last Decade Papers Cites
M. Prevolnik 361 240 24 114 19 445
B.N. Nilsen 390 328 15 156 9 468
R.W. Kranen 369 97 11 73 11 424
Alessandro Ferragina 240 166 149 71 28 421
E.S. Toohey 451 35 91 95 28 499
H. Rouissi 214 124 95 45 29 405
Roland Labas 356 30 20 61 13 474
Virgínia Santos 334 66 209 43 23 485
Matthew G. Kerr 357 26 25 52 13 407
S. R. Baud 328 21 51 80 14 394
Nico Brogna 224 40 54 19 20 379

All Works

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Rankless by CCL
2026