Daniel Heřt
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
- Guidance and Control Systems
Papers in
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- Robotics and Sensor-Based Localization 12
- UAV Applications and Optimization 8
- Guidance and Control Systems 1
- Infrared Target Detection Methodologies 1
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- Robotic Path Planning Algorithms 15
- Co-authors
- Martin Saska (18 shared papers)Vijay Kumar (3 shared papers)Giuseppe Loianno (3 shared papers)Matouš Vrba (10 shared papers)Matěj Petrlík (10 shared papers)Tomáš Krajník (3 shared papers)Vojtěch Spurný (9 shared papers)Robert Pěnička (5 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Autonomous Robots (2 papers)Robotics and Autonomous Systems (2 papers)Journal of Field Robotics (1 paper)Journal of Intelligent & Robotic Systems (1 paper)
- Partner nations
- CzechiaUnited StatesUnited Arab Emirates
In The Last Decade
Daniel Heřt
18 papers receiving 724 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 460
- Aerospace Engineering 491
- Control and Systems Engineering 192
- Computer Networks and Communications 178
- Geology 40
Countries citing papers authored by Daniel Heřt
This map shows the geographic impact of Daniel Heřt'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 Daniel Heřt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Heřt more than expected).
Fields of papers citing papers by Daniel Heřt
This network shows the impact of papers produced by Daniel Heřt. 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 Daniel Heřt. The network helps show where Daniel Heřt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Heřt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 122 | |
| 2 | 2020 | 113 | |
| 3 | 2018 | 110 | |
| 4 | 2020 | 98 | |
| 5 | 2018 | 75 | |
| 6 | 2022 | 47 | |
| 7 | 2019 | 37 | |
| 8 | 2023 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2024 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2016 | 6 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 |
About Daniel Heřt
Daniel Heřt is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering and Control and Systems Engineering, having authored 18 papers that have together received 744 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (12 papers), UAV Applications and Optimization (8 papers), Distributed Control Multi-Agent Systems (7 papers), Modular Robots and Swarm Intelligence (3 papers), Guidance and Control Systems (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (460 citations), Aerospace Engineering (491 citations), Control and Systems Engineering (192 citations), Computer Networks and Communications (178 citations) and Geology (40 citations). Daniel Heřt has collaborated with scholars based in Czechia, United States and United Arab Emirates. Frequent co-authors include Martin Saska, Vijay Kumar, Giuseppe Loianno, Matouš Vrba, Matěj Petrlík, Tomáš Krajník, Vojtěch Spurný, Robert Pěnička, Justin Thomas and Petr Štěpán. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Robotics and Autonomous Systems, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.
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.