Projects / Programmes source: ARIS

A Combined Computational and Machine Learning Study of Fullerene Derivatives as Potential Drug-Like Agents for Anti-Cancer Activity

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Research activity

Code Science Field Subfield
1.04.00  Natural sciences and mathematics  Chemistry   

Code Science Field
1.04  Natural Sciences  Chemical sciences 
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
688.43
A''
100.26
A'
205.01
A1/2
315.26
CI10
1,047
CImax
77
h10
18
A1
2.26
A3
0.21
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 (1)
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publications
1.  15991  PhD Marjan Vračko - Grobelšek  Chemistry  Head  2024 - 2025  278 
0585  University of Maribor, Faculty of Economics and Business
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