Projects / Programmes source: ARIS

Application of machine learning algorithms in modelling, optimization, and prediction of various processes in power engineering and industry

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Research activity

Code Science Field Subfield
2.10.00  Engineering sciences and technologies  Manufacturing technologies and systems   

Code Science Field
2.03  Engineering and Technology  Mechanical engineering 
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
486.33
A''
69.55
A'
167.54
A1/2
285.67
CI10
282
CImax
38
h10
10
A1
1.65
A3
1.04
Data for the last 5 years (citations for the last 10 years) on December 27, 2025; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  34  233  209  6.15 
Scopus  39  330  306  7.85 
Organisations (1) , Researchers (1)
0782  University of Ljubljana, Faculty of Mechanical Engineering
no. Code Name and surname Research area Role Period No. of publications
1.  20863  PhD Tomaž Berlec  Manufacturing technologies and systems  Head  2024 - 2025  389 
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