Željko Kanović

567 citations
42 papers · 413 · h-index 11

Impact in

Papers in

    • Non-Destructive Testing Techniques 7
    • Advanced machining processes and optimization 6
    • Gear and Bearing Dynamics Analysis 5
    • Machine Fault Diagnosis Techniques 13
    • Fault Detection and Control Systems 4
    • Advanced Algorithms and Applications 4

Željko Kanović

39 papers receiving 385 citations

Peers

Željko Kanović
Comparison fields: 5 of 60
  • Control and Systems Engineering 170
  • Industrial and Manufacturing Engineering 51
  • Mechanical Engineering 189
  • Civil and Structural Engineering 50
  • Artificial Intelligence 71
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Citations per field
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Citations per year

Countries citing papers authored by Željko Kanović

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Željko Kanović Line = papers co-authored together Željko Kanović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201549
2 200948
3 201135
4 202029
5 202127
6 202222
7 200821
8 201321
9 201916
10 197013
11 201712
12 20239
13 20089
14
A theoretical and empirical analysis of convergence related particle swarm optimization
20099
15 20238
16 20138
17 20207
18 20196
19 20196
20 20165

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 413 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), Fault Detection and Control Systems (4 papers), Maritime Navigation and Safety (4 papers), Advanced Algorithms and Applications (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Control and Systems Engineering (170 citations), Industrial and Manufacturing Engineering (51 citations), Mechanical Engineering (189 citations), Civil and Structural Engineering (50 citations) and Artificial Intelligence (71 citations). Željko Kanović has collaborated with scholars based in Serbia, Croatia and Spain. Frequent co-authors include Milan R. Rapaić, Zoran D. Jeličić, Djordje Vukelić, Goran Šimunović, Tomislav Šarić, Katica Šimunović, M. Pineda‐Sanchez, Javier Martínez‐Román, Rubén Puche‐Panadero and Ángel Sapena-Bañó. Their work appears in journals such as Metals, Journal of Cleaner Production, Mechanical Systems and Signal Processing, IEEE Transactions on Energy Conversion and Journal of Navigation.

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.

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