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Projects / Programmes
A Combined Computational and Machine Learning Study of Fullerene Derivatives as Potential Drug-Like Agents for Anti-Cancer Activity
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)
Points
630.41
A''
99.77
A'
211.98
A1/2
282.24
CI10
956
CImax
72
h10
17
A1
2.08
A3
0.21
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
| Database | Linked records | Citations | Pure citations | Average pure citations |
|---|---|---|---|---|
| WoS | 93 | 2,559 | 2,090 | 22.47 |
| Scopus | 95 | 2,979 | 2,474 | 26.04 |
Organisations (2) , Researchers (1)
0104 National Institute of Chemistry
| no. | Code | Name and surname | Research area | Role | Period | No. of publicationsNo. of publications |
|---|---|---|---|---|---|---|
| 1. | 15991 | Chemistry | Head | 2024 - 2026 | 279 |
0585 University of Maribor, Faculty of Economics and Business