PhD
Tome Eftimov
no.:
50854 
researcher – active in research organisation
| Code |
Science |
Field |
Subfield |
| 2.07.01 |
Engineering sciences and technologies |
Computer science and informatics |
Computer structures, systems and networks - software |
| 1.01.06 |
Natural sciences and mathematics |
Mathematics |
Probability and statistics |
| Code |
Science |
Field |
| P170 |
Natural sciences and mathematics |
Computer science, numerical analysis, systems, control |
| P176 |
Natural sciences and mathematics |
Artificial intelligence |
| P160 |
Natural sciences and mathematics |
Statistics, operations research, programming, actuarial mathematics |
Statistical data analysis, natural language processing, machine learning, metaheuristics, information theory
Data for the last 5 years (citations for the last 10 years) on
April 26, 2024;
A3 for period
2018-2022
(update for tender in 2023:
YES)
| Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
| WoS |
86 |
785 |
641 |
7.45 |
| Scopus |
105 |
1,202 |
944 |
8.99 |
Doctoral dissertations and other final papers
Show
ARIS research and infrastructure programmes
Legend
Tome Eftimov received his B.Sc. (Eng). degree in Electrical Engineering and Computer Science from the University of Ss. Cyril and Methodius, Skopje, Macedonia, in 2011. His bachelor thesis was entitled “R-Statistics”. After finishing his bachelor degree, he worked as a teaching and laboratory assistant in probability and statistics at the Faculty of Electrical Engineering and Information Technologies in Skopje, Macedonia. In 2012, he moved to the Macedonian Academy of Sciences and Arts, where he worked towards his master degree as a part of a DFG project, “Noncoherent communication”. His master thesis was entitled “Applications of random matrix theory to the derivations of the performance limits in wireless communication”. In 2013, he received his M.Sc. (Eng) degree in Electrical Engineering and Computer Science also from the University of Ss. Cyril and Methodius, Skopje, Macedonia. In January 2018, he finished his Ph.D. degree at Jožef Stefan International Postgraduate School. His thesis was entitled “Statistical data analysis and natural language processing for nutrition science”. From January 2019, he is a postdoctoral fellow at Stanford University. His research interests include statistics, heuristic optimization, natural language processing, machine learning, and information theory.
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