Zdenko Bobovský
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Tomáš KotAleš VysockýIvan VirgalaErik PradaPetr NovákMichal KelemenMartin HagaraMarek Sukop
- Topics
- Robot Manipulation and Learning (20 papers)Robotic Mechanisms and Dynamics (12 papers)Modular Robots and Swarm Intelligence (11 papers)
- Cited by
- Industrial and Manufacturing EngineeringHuman-Computer InteractionControl and Systems Engineering
- Journals
- IEEE AccessSensorsApplied Sciences
In The Last Decade
Zdenko Bobovský
50 papers receiving 470 citations
Peers
Comparison fields: 5 of 63
- Mechanical Engineering 206
- Control and Systems Engineering 187
- Biomedical Engineering 147
- Computer Vision and Pattern Recognition 121
- Industrial and Manufacturing Engineering 85
Countries citing papers authored by Zdenko Bobovský
This map shows the geographic impact of Zdenko Bobovský'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 Zdenko Bobovský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zdenko Bobovský more than expected).
Fields of papers citing papers by Zdenko Bobovský
This network shows the impact of papers produced by Zdenko Bobovský. 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 Zdenko Bobovský. The network helps show where Zdenko Bobovský may publish in the future.
Co-authorship network of co-authors of Zdenko Bobovský
This figure shows the co-authorship network connecting the top 25 collaborators of Zdenko Bobovský. A scholar is included among the top collaborators of Zdenko Bobovský based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zdenko Bobovský. Zdenko Bobovský is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 42 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 10 | |
| 18 | 16 | |
| 19 | 26 | |
| 20 | 23 |
About Zdenko Bobovský
Zdenko Bobovský is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Geology, having authored 56 papers that have together received 482 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Robotic Mechanisms and Dynamics (12 papers) and Modular Robots and Swarm Intelligence (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Human-Computer Interaction (46 citations) and Control and Systems Engineering (187 citations). Zdenko Bobovský has collaborated with scholars based in Czechia, Slovakia and Austria. Frequent co-authors include Tomáš Kot, Aleš Vysocký, Ivan Virgala, Erik Prada, Petr Novák, Michal Kelemen, Martin Hagara, Marek Sukop, František Trebuňa and Róbert Huňady. Their work appears in journals such as IEEE Access, Sensors and Applied Sciences.
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.