Projects / Programmes source: ARIS

Predicting Anomalous Trajectories Using Machine Learning

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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
481.33
A''
168.59
A'
226.66
A1/2
318.72
CI10
471
CImax
123
h10
11
A1
1.75
A3
2.18
Data for the last 5 years (citations for the last 10 years) on February 6, 2026; 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  23  410  385  16.74 
Scopus  25  532  503  20.12 
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.  31322  PhD Marko Šimic  Manufacturing technologies and systems  Head  2025 - 2026  305 
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