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Projects / Programmes source: ARIS

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)
source: COBISS
Points
11,491.9
A''
5,254.85
A'
7,593.79
A1/2
9,089.17
CI10
34,304
CImax
14,963
h10
69
A1
17.61
A3
8.3
Data for the last 5 years (citations for the last 10 years) on August 7, 2026; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  525  36,096  34,916  66.51 
Scopus  556  39,772  38,529  69.3 
Organisations (3) , Researchers (6)
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.  55917  PhD Marko Blagojevič  Process engineering  Researcher  2026  35 
2.  34230  PhD Sabina Kolbl Repinc  Hydrology  Head  2026  148 
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  37381  PhD Miša Mojca Cajnko  Chemical engineering  Researcher  2026  65 
2.  25446  PhD Blaž Likozar  Chemical engineering  Researcher  2026  1,744 
3.  19104  PhD Blaž Stres  Animal production  Researcher  2026  436 
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  20183  PhD Boštjan Murovec  Computer science and informatics  Researcher  2026  228 
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