Projects / Programmes source: ARIS

Using machine learning to assess the corrosion condition of reinforced concrete structures

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Research activity

Code Science Field Subfield
2.01.00  Engineering sciences and technologies  Civil engineering   

Code Science Field
2.01  Engineering and Technology  Civil engineering 
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
6,298.01
A''
1,136
A'
3,004.3
A1/2
3,972.75
CI10
6,395
CImax
499
h10
41
A1
21.61
A3
12.26
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
Organisations (2) , Researchers (10)
1502  Slovenian National Building and Civil Engineering Institute
no. Code Name and surname Research area Role Period No. of publications
1.  35411  PhD Andrej Anžlin  Civil engineering  Researcher  2025  154 
2.  16394  PhD Mirjam Bajt Leban  Civil engineering  Researcher  2025  323 
3.  31346  MSc Nina Gartner  Materials science and technology  Researcher  2025  89 
4.  37501  PhD Miha Hren  Civil engineering  Head  2025  75 
5.  22315  PhD Tadeja Kosec  Chemistry  Researcher  2025  373 
6.  08281  PhD Andraž Legat  Civil engineering  Researcher  2025  506 
7.  20335  PhD Bojan Zajec  Civil engineering  Researcher  2025  191 
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publications
1.  38118  PhD Klemen Grm  Systems and cybernetics  Researcher  2025  53 
2.  31985  PhD Janez Križaj  Systems and cybernetics  Researcher  2025  43 
3.  28458  PhD Vitomir Štruc  Systems and cybernetics  Researcher  2025  418 
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