Michal Reinštein
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Vladimír KubelkaMatej HoffmannKarel ZimmermannTomáš SvobodaJan RoháčVáclav HlaváčFrancis ColasFrançois Pomerleau
- Topics
- Robotics and Sensor-Based Localization (10 papers)Indoor and Outdoor Localization Technologies (8 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)
- Journals
- IEEE Transactions on RoboticsIEEE/ASME Transactions on MechatronicsRobotics and Autonomous Systems
- Partner nations
- CzechiaSwitzerlandSlovakia
In The Last Decade
Michal Reinštein
20 papers receiving 426 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 270
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 128
- Electrical and Electronic Engineering 118
- Biomedical Engineering 112
Countries citing papers authored by Michal Reinštein
This map shows the geographic impact of Michal Reinštein'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 Michal Reinštein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Reinštein more than expected).
Fields of papers citing papers by Michal Reinštein
This network shows the impact of papers produced by Michal Reinštein. 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 Michal Reinštein. The network helps show where Michal Reinštein may publish in the future.
Co-authorship network of co-authors of Michal Reinštein
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Reinštein. A scholar is included among the top collaborators of Michal Reinštein 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 Michal Reinštein. Michal Reinštein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 27 | |
| 5 | 7 | |
| 6 | 26 | |
| 7 | 33 | |
| 8 | 44 | |
| 9 | 86 | |
| 10 | 26 | |
| 11 | 45 | |
| 12 | 28 | |
| 13 | Evaluation of Fine Alignment Algorithm for inertial navigation | 7 |
| 14 | 29 | |
| 15 | 7 | |
| 16 | Algorithms for heading determination using inertial sensors | 9 |
| 17 | 8 | |
| 18 | Error Analyses of Attitude and Heading Reference Systems | 12 |
| 19 | 14 | |
| 20 | 3 |
About Michal Reinštein
Michal Reinštein is a scholar working on Aerospace Engineering, Artificial Intelligence and Geography, Planning and Development, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (8 papers) and Target Tracking and Data Fusion in Sensor Networks (8 papers). The work is most often cited by research in Aerospace Engineering (270 citations), Computer Vision and Pattern Recognition (135 citations) and Artificial Intelligence (128 citations). Michal Reinštein has collaborated with scholars based in Czechia, Switzerland and Slovakia. Frequent co-authors include Vladimír Kubelka, Matej Hoffmann, Karel Zimmermann, Tomáš Svoboda, Jan Roháč, Václav Hlaváč, Francis Colas, François Pomerleau and Karel Draxler. Their work appears in journals such as IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics and Robotics and Autonomous 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.