Željko Kanović
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Non-Destructive Testing Techniques 7
- Advanced machining processes and optimization 6
- Gear and Bearing Dynamics Analysis 5
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- Machine Fault Diagnosis Techniques 13
- Advanced Algorithms and Applications 4
- Fault Detection and Control Systems 4
- Co-authors
- Milan R. Rapaić (8 shared papers)Zoran D. Jeličić (10 shared papers)Goran Šimunović (4 shared papers)Djordje Vukelić (5 shared papers)Tomislav Šarić (3 shared papers)Katica Šimunović (3 shared papers)Javier Martínez‐Román (2 shared papers)Ángel Sapena-Bañó (2 shared papers)
In The Last Decade
Željko Kanović
39 papers receiving 378 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 168
- Industrial and Manufacturing Engineering 51
- Mechanical Engineering 187
- Civil and Structural Engineering 49
- Artificial Intelligence 71
Countries citing papers authored by Željko Kanović
This map shows the geographic impact of Željko Kanović'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 Željko Kanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Željko Kanović more than expected).
Fields of papers citing papers by Željko Kanović
This network shows the impact of papers produced by Željko Kanović. 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 Željko Kanović. The network helps show where Željko Kanović may publish in the future.
Co-authors
The 25 scholars most cited alongside Željko Kanović, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2009 | 48 | |
| 3 | 2011 | 35 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2008 | 21 | |
| 9 | 2019 | 16 | |
| 10 | 1970 | 13 | |
| 11 | 2017 | 12 | |
| 12 | A theoretical and empirical analysis of convergence related particle swarm optimization | 2009 | 9 |
| 13 | 2008 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2021 | 5 |
About Željko Kanović
Željko Kanović is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Ocean Engineering and Artificial Intelligence, having authored 42 papers that have together received 406 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Non-Destructive Testing Techniques (7 papers), Advanced machining processes and optimization (6 papers), Gear and Bearing Dynamics Analysis (5 papers), Advanced Algorithms and Applications (4 papers), Fault Detection and Control Systems (4 papers), Acoustic Wave Phenomena Research (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Control and Systems Engineering (168 citations), Industrial and Manufacturing Engineering (51 citations), Mechanical Engineering (187 citations), Civil and Structural Engineering (49 citations) and Artificial Intelligence (71 citations). Željko Kanović has collaborated with scholars based in Serbia, Croatia and Slovakia. Frequent co-authors include Milan R. Rapaić, Zoran D. Jeličić, Goran Šimunović, Djordje Vukelić, Tomislav Šarić, Katica Šimunović, Javier Martínez‐Román, Ángel Sapena-Bañó, M. Pineda‐Sanchez and Rubén Puche‐Panadero. Their work appears in journals such as Journal of Cleaner Production, Metals, International Journal of Simulation Modelling, Mechanical Systems and Signal Processing and Tehnicki vjesnik - Technical Gazette.
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.