Marko Švaco
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Augmented Reality Applications
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
Papers in
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- Robotic Path Planning Algorithms 9
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- Robot Manipulation and Learning 6
- Co-authors
- Bojan Jerbić (44 shared papers)Bojan Šekoranja (33 shared papers)Filip Šuligoj (32 shared papers)Darko Chudy (7 shared papers)Marina Raguž (4 shared papers)Ivan Zupancic (2 shared papers)Marijana Serdar (2 shared papers)Darko Orešković (1 shared paper)
- Journals
- Tehnicki vjesnik - Technical Gazette (2 papers)IEEE Access (2 papers)Frontiers in Neurorobotics (1 paper)International Journal of Simulation Modelling (1 paper)Robotics (1 paper)
- Partner nations
- CroatiaSerbiaUnited States
In The Last Decade
Marko Švaco
45 papers receiving 379 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 119
- Control and Systems Engineering 124
- Industrial and Manufacturing Engineering 53
- Aerospace Engineering 95
- Biomedical Engineering 114
Countries citing papers authored by Marko Švaco
This map shows the geographic impact of Marko Švaco'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 Švaco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Švaco more than expected).
Fields of papers citing papers by Marko Švaco
This network shows the impact of papers produced by Marko Švaco. 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 Švaco. The network helps show where Marko Švaco may publish in the future.
Co-authors
The 14 scholars most cited alongside Marko Švaco, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2014 | 29 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2014 | 17 | |
| 7 | 2015 | 17 | |
| 8 | 2017 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2011 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2023 | 7 |
About Marko Švaco
Marko Švaco is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 52 papers that have together received 404 indexed citations. Recurring topics across this work include Soft Robotics and Applications (14 papers), Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (6 papers), Anatomy and Medical Technology (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Surgical Simulation and Training (4 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Control and Systems Engineering (124 citations), Industrial and Manufacturing Engineering (53 citations), Aerospace Engineering (95 citations) and Biomedical Engineering (114 citations). Marko Švaco has collaborated with scholars based in Croatia, Serbia and United States. Frequent co-authors include Bojan Jerbić, Bojan Šekoranja, Filip Šuligoj, Darko Chudy, Marina Raguž, Ivan Zupancic, Marijana Serdar, Darko Orešković, Domagoj Damjanović and Mirko Raković. Their work appears in journals such as Tehnicki vjesnik - Technical Gazette, IEEE Access, Frontiers in Neurorobotics, International Journal of Simulation Modelling and Robotics.
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.