Martin Dekan
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Human-Computer Interaction top 5%
- Biomedical Engineering
- Co-authors
- Michal TölgyessyĽuboš ChovanecFrantišek DuchoňPeter HubinskýAndrej BabinecJosip MusićLadislav JurišicaMichal Kelemen
- Topics
- Robotic Path Planning Algorithms (16 papers)Robotics and Sensor-Based Localization (15 papers)Robot Manipulation and Learning (8 papers)
In The Last Decade
Martin Dekan
37 papers receiving 595 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 304
- Control and Systems Engineering 178
- Aerospace Engineering 174
- Human-Computer Interaction 87
- Biomedical Engineering 86
Countries citing papers authored by Martin Dekan
This map shows the geographic impact of Martin Dekan'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 Martin Dekan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Dekan more than expected).
Fields of papers citing papers by Martin Dekan
This network shows the impact of papers produced by Martin Dekan. 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 Martin Dekan. The network helps show where Martin Dekan may publish in the future.
Co-authorship network of co-authors of Martin Dekan
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Dekan. A scholar is included among the top collaborators of Martin Dekan 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 Martin Dekan. Martin Dekan 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2breakdown → | 182 |
| 11 | 8 | |
| 12 | Reliability of Barcode Detection | 1 |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 34 | |
| 20 | 1 |
About Martin Dekan
Martin Dekan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 41 papers that have together received 625 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (16 papers), Robotics and Sensor-Based Localization (15 papers) and Robot Manipulation and Learning (8 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Computer Vision and Pattern Recognition (304 citations) and Control and Systems Engineering (178 citations). Martin Dekan has collaborated with scholars based in Slovakia, Italy and Croatia. Frequent co-authors include Michal Tölgyessy, Ľuboš Chovanec, František Duchoň, Peter Hubinský, Andrej Babinec, Josip Musić, Ladislav Jurišica, Michal Kelemen, Peter Beňo and Martin Kajan. Their work appears in journals such as Sensors, The International Journal of Advanced Manufacturing Technology and IEEE Sensors Journal.
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.