Fatma Güney
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Vision and Imaging 9
- Advanced Neural Network Applications 6
- Face recognition and analysis 3
- Human Pose and Action Recognition 2
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- Autonomous Vehicle Technology and Safety 8
- Co-authors
- Andreas Geiger (8 shared papers)Joel Janai (4 shared papers)Aseem Behl (2 shared papers)Michael J. Black (3 shared papers)Anurag Ranjan (1 shared paper)Jonas Wulff (2 shared papers)Laura Sevilla-Lara (2 shared papers)João F. Henriques (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Computer Vision (1 paper)Lecture notes in computer science (7 papers)neural information processing systems (1 paper)International Conference on 3D Vision (3DV) (1 paper)
In The Last Decade
Fatma Güney
23 papers receiving 1.2k citations
Fatma Güney's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 818
- Automotive Engineering 253
- Artificial Intelligence 182
- Computational Mathematics 2
- Aerospace Engineering 62
Countries citing papers authored by Fatma Güney
This map shows the geographic impact of Fatma Güney'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 Fatma Güney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Güney more than expected).
Fields of papers citing papers by Fatma Güney
This network shows the impact of papers produced by Fatma Güney. 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 Fatma Güney. The network helps show where Fatma Güney may publish in the future.
Co-authors
The 25 scholars most cited alongside Fatma Güney, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Computer Vision for Autonomous Vehicles Hit paper breakdown → | 2020 | 425 |
| 2 | 2015 | 187 | |
| 3 | 2018 | 158 | |
| 4 | 2020 | 119 | |
| 5 | 2017 | 65 | |
| 6 | 2023 | 58 | |
| 7 | 2019 | 51 | |
| 8 | 2017 | 38 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 35 | |
| 11 | 2021 | 24 | |
| 12 | 2013 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2023 | 3 |
About Fatma Güney
Fatma Güney is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Computer Graphics and Computer-Aided Design, Computational Mechanics and Geology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Advanced Neural Network Applications (6 papers), Face recognition and analysis (3 papers), Human Pose and Action Recognition (2 papers), 3D Shape Modeling and Analysis (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (818 citations), Automotive Engineering (253 citations), Artificial Intelligence (182 citations), Computational Mathematics (2 citations) and Aerospace Engineering (62 citations). Fatma Güney has collaborated with scholars based in Türkiye, Germany and China. Frequent co-authors include Andreas Geiger, Joel Janai, Aseem Behl, Michael J. Black, Anurag Ranjan, Jonas Wulff, Laura Sevilla-Lara, João F. Henriques, Yiyi Liao and Varun Jampani. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Lecture notes in computer science, neural information processing systems and International Conference on 3D Vision (3DV).
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.