Tomáš Krajník
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 0.5%
- Computer Networks and Communications top 2%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Martin SaskaTom DuckettLibor PřeučilJan FaiglJaime Pulido FentanesJoão SantosFarshad ArvinVojtěch Vonásek
- Topics
- Robotics and Sensor-Based Localization (64 papers)Robotic Path Planning Algorithms (36 papers)Advanced Image and Video Retrieval Techniques (25 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- CzechiaUnited KingdomFrance
In The Last Decade
Tomáš Krajník
107 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.3k
- Aerospace Engineering 1.2k
- Computer Networks and Communications 494
- Mechanical Engineering 329
- Control and Systems Engineering 327
Countries citing papers authored by Tomáš Krajník
This map shows the geographic impact of Tomáš Krajník'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 Tomáš Krajník with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Krajník more than expected).
Fields of papers citing papers by Tomáš Krajník
This network shows the impact of papers produced by Tomáš Krajník. 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 Tomáš Krajník. The network helps show where Tomáš Krajník may publish in the future.
Co-authorship network of co-authors of Tomáš Krajník
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Krajník. A scholar is included among the top collaborators of Tomáš Krajník 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 Tomáš Krajník. Tomáš Krajník 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 | 10 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 24 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 77 | |
| 18 | 69 | |
| 19 | 20 | |
| 20 | 8 |
About Tomáš Krajník
Tomáš Krajník is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Instrumentation, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (64 papers), Robotic Path Planning Algorithms (36 papers) and Advanced Image and Video Retrieval Techniques (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Aerospace Engineering (1.2k citations) and Computer Networks and Communications (494 citations). Tomáš Krajník has collaborated with scholars based in Czechia, United Kingdom and France. Frequent co-authors include Martin Saska, Tom Duckett, Libor Přeučil, Jan Faigl, Jaime Pulido Fentanes, João Santos, Farshad Arvin, Vojtěch Vonásek, Marc Hanheide and Matías Nitsche. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.