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
640.9
A''
526.91
A'
560
A1/2
612.56
CI10
1,812
CImax
197
h10
23
A1
2.84
A3
0
Data for the last 5 years (citations for the last 10 years) on July 18, 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  44  1,760  1,610  36.59 
Scopus  45  2,000  1,840  40.89 
Organisations (1) , Researchers (3)
0105  National Institute of Biology
no. Code Name and surname Research area Role Period No. of publications
1.  59597  Tina Arnšek    Technical associate  2026  8 
2.  29635  Katja Stare  Biology  Technical associate  2026  112 
3.  37827  PhD Martin Stražar  Biotechnology  Head  2026  44 
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