Projects / Programmes source: ARIS

Characterization of S. tuberosum growth-promoting bacteria metabolomes with machine learning

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Research activity

Code Science Field Subfield
1.05.00  Natural sciences and mathematics  Biochemistry and molecular biology   

Code Science Field
1.06  Natural Sciences  Biological sciences 
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
721.35
A''
501.95
A'
565.32
A1/2
632.47
CI10
1,864
CImax
178
h10
24
A1
3.06
A3
0
Data for the last 5 years (citations for the last 10 years) on June 1, 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  47  1,889  1,706  36.3 
Scopus  49  2,083  1,889  38.55 
Organisations (1) , Researchers (4)
0105  National Institute of Biology
no. Code Name and surname Research area Role Period No. of publications
1.  55238  Tjaša Mahkovec Povalej    Technical associate  2026  30 
2.  29635  Katja Stare  Biology  Technical associate  2026  110 
3.  37827  PhD Martin Stražar  Biotechnology  Head  2026  42 
4.  52747  PhD Angelika Vižintin  Systems and cybernetics  Researcher  2026  48 
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