Emre Akbaş
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Image Retrieval and Classification Techniques 6
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 6
- Visual Attention and Saliency Detection 4
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- Adversarial Robustness in Machine Learning 5
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Miguel P. Eckstein (4 shared papers)Sinan Kalkan (5 shared papers)Fatoş T. Yarman Vural (1 shared paper)Pınar Duygulu (3 shared papers)Narendra Ahuja (3 shared papers)Stephen C. Mack (1 shared paper)Sheng Zhang (1 shared paper)Fatoş T. Yarman-Vural (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Image and Vision Computing (2 papers)Current Biology (1 paper)Journal of Vision (1 paper)Machine Learning Science and Technology (1 paper)
- Partner nations
- TürkiyeUnited StatesAustralia
In The Last Decade
Emre Akbaş
25 papers receiving 260 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 188
- Acoustics and Ultrasonics 5
- Media Technology 39
- Cognitive Neuroscience 74
- Human-Computer Interaction 12
Countries citing papers authored by Emre Akbaş
This map shows the geographic impact of Emre Akbaş'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 Emre Akbaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Akbaş more than expected).
Fields of papers citing papers by Emre Akbaş
This network shows the impact of papers produced by Emre Akbaş. 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 Emre Akbaş. The network helps show where Emre Akbaş may publish in the future.
Co-authors
The 24 scholars most cited alongside Emre Akbaş, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2017 | 43 | |
| 3 | 2020 | 38 | |
| 4 | 2007 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 10 | |
| 9 | 2006 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2010 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Emre Akbaş
Emre Akbaş is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Cognitive Neuroscience and Media Technology, having authored 31 papers that have together received 277 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Adversarial Robustness in Machine Learning (5 papers), Visual Attention and Saliency Detection (4 papers), Visual perception and processing mechanisms (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Acoustics and Ultrasonics (5 citations), Media Technology (39 citations), Cognitive Neuroscience (74 citations) and Human-Computer Interaction (12 citations). Emre Akbaş has collaborated with scholars based in Türkiye, United States and Australia. Frequent co-authors include Miguel P. Eckstein, Sinan Kalkan, Fatoş T. Yarman Vural, Pınar Duygulu, Narendra Ahuja, Stephen C. Mack, Sheng Zhang, Fatoş T. Yarman-Vural, Farid Boussaïd and Kirsten Koehler. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, Current Biology, Journal of Vision and Machine Learning Science and Technology.
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.