Marko Janev
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 10%
- Iterative Methods for Nonlinear Equations
Papers in
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- Fractional Differential Equations Solutions 18
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- Numerical methods in engineering 6
- Composite Structure Analysis and Optimization 6
- Thermoelastic and Magnetoelastic Phenomena 6
- Co-authors
- Teodor M. Atanacković (25 shared papers)Stevan Pilipović (18 shared papers)Dušan Zorica (9 shared papers)Nebojša Ralević (6 shared papers)Vlado Delić (5 shared papers)Sanja Konjik (3 shared papers)Vesna Mišković‐Stanković (1 shared paper)Milan Gnjatović (2 shared papers)
In The Last Decade
Marko Janev
41 papers receiving 335 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 157
- Numerical Analysis 49
- Applied Mathematics 52
- Computer Vision and Pattern Recognition 83
- Mechanics of Materials 71
Countries citing papers authored by Marko Janev
This map shows the geographic impact of Marko Janev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marko Janev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Janev more than expected).
Fields of papers citing papers by Marko Janev
This network shows the impact of papers produced by Marko Janev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marko Janev. The network helps show where Marko Janev may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Janev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 59 | |
| 2 | 2015 | 22 | |
| 3 | 2022 | 21 | |
| 4 | 2011 | 18 | |
| 5 | 2017 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2013 | 16 | |
| 8 | 2013 | 15 | |
| 9 | 2016 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2008 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2011 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2014 | 6 | |
| 20 | 2021 | 6 |
About Marko Janev
Marko Janev is a scholar working on Modeling and Simulation, Mechanics of Materials, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 44 papers that have together received 349 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (18 papers), Numerical methods in engineering (6 papers), Composite Structure Analysis and Optimization (6 papers), Thermoelastic and Magnetoelastic Phenomena (6 papers), Speech and Audio Processing (6 papers), Bayesian Methods and Mixture Models (5 papers), Nonlinear Waves and Solitons (4 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Modeling and Simulation (157 citations), Numerical Analysis (49 citations), Applied Mathematics (52 citations), Computer Vision and Pattern Recognition (83 citations) and Mechanics of Materials (71 citations). Marko Janev has collaborated with scholars based in Serbia, Belgium and Czechia. Frequent co-authors include Teodor M. Atanacković, Stevan Pilipović, Dušan Zorica, Nebojša Ralević, Vlado Delić, Sanja Konjik, Vesna Mišković‐Stanković, Milan Gnjatović, Nikša Jakovljević and Veljko Krstonošić. Their work appears in journals such as Applied Intelligence, Acta Mechanica, International Journal of Structural Stability and Dynamics, Applied Mathematics and Computation and Meccanica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.