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Research & Reviews: Journal of Food and Dairy Technology : Citations & Metrics Report
Articles published in Research & Reviews: Journal of Food and Dairy Technology have been cited by esteemed scholars and scientists all around the world.
Research & Reviews: Journal of Food and Dairy Technology has got h-index 12, which means every article in Research & Reviews: Journal of Food and Dairy Technology has got 12 average citations.
Following are the list of articles that have cited the articles published in Research & Reviews: Journal of Food and Dairy Technology.
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
Total published articles
27
41
30
14
36
32
6
21
27
22
14
Research, Review articles and Editorials
0
3
4
2
17
3
6
21
31
21
14
Research communications, Review communications, Editorial communications, Case reports and Commentary
15
34
22
12
0
29
0
0
0
1
0
Conference proceedings
0
0
0
0
0
0
0
0
0
0
0
Citations received as per Google Scholar, other indexing platforms and portals
37
42
69
51
58
45
58
49
41
17
11
Journal total citations count
499
Journal impact factor
3.79
Journal 5 years impact factor
3.08
Journal cite score
2.63
Journal h-index
12
Journal h-index since 2019
10
Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)}
Y= Year
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
Important citations (186)
Atallah, a. a., & gemiel, d. g. (2020). preparation of new carbonated beverages based on hydrolyzed whey by fruit and some herbs. american journal of food science and technology, 8(2), 49-55.
Atallah, a. a., & gemiel, d. g. (2020). preparation of new carbonated beverages based on hydrolyzed whey by fruit and some herbs. american journal of food science and technology, 8(2), 49-55.
Granados-chinchilla, f., redondo-solano, m., & jaikel-víquez, d. (2018). mycotoxin contamination of beverages obtained from tropical crops. beverages, 4(4), 83.
Senkal, b. c., kiralan, m., & ramadan, m. f. (2016). impact of harvest times on the quality characteristics of oils recovered from different safflower (carthamus tinctorius) cultivars sown in spring and autumn. european food research and technology, 242(3), 371-381.
Senkal, b. c., kiralan, m., & ramadan, m. f. (2016). impact of harvest times on the quality characteristics of oils recovered from different safflower (carthamus tinctorius) cultivars sown in spring and autumn. european food research and technology, 242(3), 371-381.
Zlatev, z., & vasilev, m. contactless methods for quality evaluation of dairy products. artte applied researches in technics, technologies and education, 29.
Pauly, l., baiju, m. v., viswanathan, p., jose, p., paul, d., & sankar, d. (2015, october). a new gray level based method for visual inspection of frying food items. in 2015 international conference on soft computing techniques and implementations (icscti) (pp. 57-60). ieee.
Alojado-rubianes, m. r. l., & del rosario, e. j. (2019). digital image photometry of xylose in liquid medium. philippine journal of science, 148(2), 217-224.
Jackson, n. i. (2020). light transmission properties of lentil (lens culinaris medik.) seed coat and effect of light exposure on cotyledon quality (doctoral dissertation, university of saskatchewan).
El barbri, n., halimi, a., & rhofir, k. (2014). a nondestructive method based on an artificial vision for beef meat quality assesement. international journal of innovative research in electrical, electronics, instrumentation and control engeineering, 2, 2060-2063.
Eduardo, m. (2015). enhancing composite cassava bread quality: effect of cassava pre-treatment and baking improvers. chalmers tekniska hogskola (sweden).
Arandjelovic, o., & cipolla, r. (2008, september). colour invariants for machine face recognition. in 2008 8th ieee international conference on automatic face & gesture recognition (pp. 1-8). ieee.
Titova, t. p., nachev, v. g., & damyanov, c. i. (2015). food quality evaluation according to their color characteristics. facta universitatis, series: automatic control and robotics, 14(1), 1-10.
Halac, d., sokic, e., & turajlic, e. (2017, october). almonds classification using supervised learning methods. in 2017 xxvi international conference on information, communication and automation technologies (icat) (pp. 1-6). ieee.
Lukinac, j., jukiÃâ¡, m., mastanjeviÃâ¡, k., & luÃÂan, m. (2018). application of computer vision and image analysis method in cheese-quality evaluation: a review. ukrainian food journal, (7, issue 2), 192-214.
Moallem, p., razmjooy, n., & mousavi, b. s. (2014). robust potato color image segmentation using adaptive fuzzy inference system. iranian journal of fuzzy systems, 11(6), 47-65.
Adeyeye, e. i. (2015). turkey-hen amino acid composition of brain and eyes. biological sciences-pjsir, 58(1), 30-39.
Ademola, o. a., omolara, a. h., & abioye, o. r. (2017). amino acids profile of bee brood, soldier termite, snout beetle larva, silkworm larva, and pupa: nutritional implications. advances in analytical chemistry, 7, 31-38.
Henry, s. g., darwish, s. m., saleh, a., & khalifa, a. (2019). carcass characteristics and nutritional composition of some edible chicken by-products. egyptian journal of food science, 47(1), 81-90.
Adeyeye, e. i., & ayeni, s. k. (2014). comparability of the amino acid composition of whole egg and two fancy meats (heart and liver) of domestic duck (anas platyrhynchos) consumed in nigeria. open j. anal. chem. res, 2(1), 16-28.