Projects / Programmes source: ARIS

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

Edit
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
484.52
A''
69.5
A'
241.72
A1/2
289.13
CI10
260
CImax
35
h10
10
A1
1.69
A3
0.21
Data for the last 5 years (citations for the last 10 years) on October 15, 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  213  189  5.56 
Scopus  39  307  283  7.26 
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  385 
Confirmation required
Views history
Favourite