Fatma Güney
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 4
- Face and Expression Recognition 3
- Face recognition and analysis 3
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Andreas Geiger (6 shared papers)Joel Janai (3 shared papers)Aseem Behl (1 shared paper)Michael J. Black (2 shared papers)Anurag Ranjan (1 shared paper)Jonas Wulff (2 shared papers)João F. Henriques (1 shared paper)Hazım Kemal Ekenel (3 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (6 papers)Astronomische Nachrichten (1 paper)MPG.PuRe (Max Planck Society) (3 papers)
- Partner nations
- TürkiyeGermanySwitzerland
In The Last Decade
Fatma Güney
20 papers receiving 920 citations
Fatma Güney's Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 670
- Media Technology 128
- Automotive Engineering 157
- Computer Graphics and Computer-Aided Design 23
- Aerospace Engineering 133
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 21 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Computer Vision for Autonomous Vehicles Hit paper breakdown → | 2020 | 388 |
| 2 | 2015 | 170 | |
| 3 | 2018 | 141 | |
| 4 | 2017 | 55 | |
| 5 | 2023 | 45 | |
| 6 | 2017 | 31 | |
| 7 | 2023 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2013 | 13 | |
| 10 | 2015 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2012 | 1 |
About Fatma Güney
Fatma Güney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Media Technology and Civil and Structural Engineering, having authored 24 papers that have together received 941 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (670 citations), Media Technology (128 citations), Automotive Engineering (157 citations), Computer Graphics and Computer-Aided Design (23 citations) and Aerospace Engineering (133 citations). Fatma Güney has collaborated with scholars based in Türkiye, Germany and Switzerland. Frequent co-authors include Andreas Geiger, Joel Janai, Aseem Behl, Michael J. Black, Anurag Ranjan, Jonas Wulff, João F. Henriques, Hazım Kemal Ekenel, Yizhou Wang and T. Şahìn. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, Astronomische Nachrichten and MPG.PuRe (Max Planck Society).
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.