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Projects / Programmes
Predicting Methane Yields Using Machine Learning: Integrating Methane Yield Database and Physico-Chemical Measurements
Research activity
| Code | Science | Field | Subfield |
|---|---|---|---|
| 4.06.00 | Biotechnical sciences | Biotechnology | |
| 2.03.00 | Engineering sciences and technologies | Energy engineering |
| Code | Science | Field |
|---|---|---|
| 2.09 | Engineering and Technology | Industrial biotechnology |
| 2.02 | Engineering and Technology | Electrical engineering, Electronic engineering, Information engineering |
Evaluation
(metodology)
Points
418.49
A''
88.91
A'
211.81
A1/2
273.83
CI10
286
CImax
76
h10
9
A1
1.5
A3
0.17
Data for the last 5 years (citations for the last 10 years) on
March 24, 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 | 23 | 322 | 245 | 10.65 |
| Scopus | 28 | 387 | 288 | 10.29 |
Organisations (3) , Researchers (1)
0792 University of Ljubljana, Faculty of Civil and Geodetic Engineering
| no. | Code | Name and surname | Research area | Role | Period | No. of publicationsNo. of publications |
|---|---|---|---|---|---|---|
| 1. | 34230 | Hydrology | Head | 2026 | 145 |
0104 National Institute of Chemistry
1538 University of Ljubljana, Faculty of Electrical Engineering