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Obtaining statistical data

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 (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
447.96
A''
51.4
A'
168.14
A1/2
259.49
CI10
188
CImax
21
h10
8
A1
1.5
A3
0.04
Data for the last 5 years (citations for the last 10 years) on June 28, 2024; A3 for period 2018-2022
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  32  166  143  4.47 
Scopus  37  226  203  5.49 
Researchers (1)
no. Code Name and surname Research area Role Period No. of publications
1.  20863  PhD Tomaž Berlec  Manufacturing technologies and systems  Head  2024  0 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  0 
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