Dániel Baráth
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image and Object Detection Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 59
- Advanced Image and Video Retrieval Techniques 31
- Image and Object Detection Techniques 16
- Multimodal Machine Learning Applications 3
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- Robotics and Sensor-Based Localization 28
- Co-authors
- Jiřı́ Matas (18 shared papers)Levente Hajder (16 shared papers)Jana Nosková (2 shared papers)Maksym Ivashechkin (3 shared papers)Tomáš Hodaň (1 shared paper)Marc Pollefeys (22 shared papers)Zuzana Kúkelová (11 shared papers)Ji Yin Zhao (4 shared papers)
- Journals
- International Journal of Computer Vision (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Transactions on Image Processing (2 papers)Lecture notes in computer science (16 papers)Pattern Recognition Letters (1 paper)
- Partner nations
- SwitzerlandCzechiaHungary
In The Last Decade
Dániel Baráth
80 papers receiving 2k citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 1.5k
- Geology 144
- Aerospace Engineering 552
- Computational Mechanics 379
- Control and Systems Engineering 196
Countries citing papers authored by Dániel Baráth
This map shows the geographic impact of Dániel Baráth'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 Dániel Baráth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Baráth more than expected).
Fields of papers citing papers by Dániel Baráth
This network shows the impact of papers produced by Dániel Baráth. 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 Dániel Baráth. The network helps show where Dániel Baráth may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Baráth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 268 | |
| 2 | 2018 | 258 | |
| 3 | 2020 | 242 | |
| 4 | 2020 | 193 | |
| 5 | 2019 | 64 | |
| 6 | 2024 | 53 | |
| 7 | 2023 | 52 | |
| 8 | 2021 | 49 | |
| 9 | 2018 | 45 | |
| 10 | 2019 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2018 | 36 | |
| 14 | 2017 | 35 | |
| 15 | 2022 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2022 | 30 | |
| 18 | 2021 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2023 | 25 |
About Dániel Baráth
Dániel Baráth is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 86 papers that have together received 2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (59 papers), Advanced Image and Video Retrieval Techniques (31 papers), Robotics and Sensor-Based Localization (28 papers), Image and Object Detection Techniques (16 papers), 3D Shape Modeling and Analysis (11 papers), 3D Surveying and Cultural Heritage (7 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Geology (144 citations), Aerospace Engineering (552 citations), Computational Mechanics (379 citations) and Control and Systems Engineering (196 citations). Dániel Baráth has collaborated with scholars based in Switzerland, Czechia and Hungary. Frequent co-authors include Jiřı́ Matas, Levente Hajder, Jana Nosková, Maksym Ivashechkin, Tomáš Hodaň, Marc Pollefeys, Zuzana Kúkelová, Ji Yin Zhao, Banglei Guan and Friedrich Fraundorfer. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Lecture notes in computer science and Pattern Recognition Letters.
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.