Marko Švaco
Impact in
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
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- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
Papers in
-
- Robot Manipulation and Learning 5
- Robotic Mechanisms and Dynamics 4
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- Soft Robotics and Applications 11
- Advanced Surface Polishing Techniques 3
- Co-authors
- Bojan Jerbić (34 shared papers)Filip Šuligoj (22 shared papers)Darko Chudy (6 shared papers)Marina Raguž (4 shared papers)Marijana Serdar (2 shared papers)Darko Orešković (1 shared paper)Matko Orsag (1 shared paper)Zdenko Kovačić (1 shared paper)
- Journals
- Tehnicki vjesnik - Technical Gazette (2 papers)IEEE Access (2 papers)Frontiers in Neurorobotics (1 paper)Journal of Intelligent & Robotic Systems (1 paper)International Journal of Simulation Modelling (1 paper)
- Partner nations
- Croatia
In The Last Decade
Marko Švaco
36 papers receiving 281 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 98
- Computer Vision and Pattern Recognition 78
- Industrial and Manufacturing Engineering 36
- Aerospace Engineering 72
- Medical Laboratory Technology 3
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 9 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2014 | 25 | |
| 3 | 2017 | 18 | |
| 4 | 2017 | 17 | |
| 5 | 2015 | 17 | |
| 6 | 2014 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2015 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 5 | |
| 19 | AUTONOMOUS ROBOT LEARNING MODEL BASED ON VISUAL INTERPRETATION OF SPATIAL STRUCTURES | 2014 | 4 |
| 20 | 2022 | 4 |
About Marko Švaco
Marko Švaco is a scholar working on Control and Systems Engineering, Biomedical Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 298 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (6 papers), Robot Manipulation and Learning (5 papers), Robotic Mechanisms and Dynamics (4 papers), Scheduling and Optimization Algorithms (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (98 citations), Computer Vision and Pattern Recognition (78 citations), Industrial and Manufacturing Engineering (36 citations), Aerospace Engineering (72 citations) and Medical Laboratory Technology (3 citations). Marko Švaco has collaborated with scholars based in Croatia. Frequent co-authors include Bojan Jerbić, Filip Šuligoj, Darko Chudy, Marina Raguž, Marijana Serdar, Darko Orešković, Matko Orsag, Zdenko Kovačić and Domagoj Damjanović. Their work appears in journals such as Tehnicki vjesnik - Technical Gazette, IEEE Access, Frontiers in Neurorobotics, Journal of Intelligent & Robotic Systems and International Journal of Simulation Modelling.
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.