Aydın Ulaş
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Imbalanced Data Classification Techniques
Papers in
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- Face and Expression Recognition 4
- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 2
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- Software-Defined Networks and 5G 6
- Caching and Content Delivery 2
- Co-authors
- Olcay Taner Yıldız (4 shared papers)Ethem Alpaydın (3 shared papers)Bülent Sankur (1 shared paper)Lale Akarun (1 shared paper)Helin Dutağacı (1 shared paper)Berk Gökberk (1 shared paper)Burak Görkemli (4 shared papers)Didem Gözüpek (1 shared paper)
- Journals
- Information Sciences (2 papers)International Journal of Imaging Systems and Technology (1 paper)Computer Networks (1 paper)Pattern Recognition (1 paper)Neurocomputing (1 paper)
- Partner nations
- TürkiyeItalyNetherlands
In The Last Decade
Aydın Ulaş
18 papers receiving 246 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 95
- Artificial Intelligence 111
- Computer Networks and Communications 66
- Signal Processing 21
- Computational Mathematics 1
Countries citing papers authored by Aydın Ulaş
This map shows the geographic impact of Aydın Ulaş'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 Aydın Ulaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aydın Ulaş more than expected).
Fields of papers citing papers by Aydın Ulaş
This network shows the impact of papers produced by Aydın Ulaş. 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 Aydın Ulaş. The network helps show where Aydın Ulaş may publish in the future.
Co-authors
The 25 scholars most cited alongside Aydın Ulaş, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 52 | |
| 2 | 2009 | 52 | |
| 3 | 2011 | 36 | |
| 4 | 2017 | 18 | |
| 5 | 2016 | 17 | |
| 6 | 2011 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2016 | 12 | |
| 9 | 2011 | 8 | |
| 10 | 2010 | 7 | |
| 11 | 2012 | 4 | |
| 12 | 2012 | 4 | |
| 13 | A Multiple Kernel Learning Approach to Multi-Modal Pedestrian Classification | 2014 | 2 |
| 14 | 2009 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2015 | 1 | |
| 18 | Selecting Scales by Multiple Kernel Learning for Shape Diffusion Analysis | 2011 | 1 |
About Aydın Ulaş
Aydın Ulaş is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 18 papers that have together received 250 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Face and Expression Recognition (4 papers), Caching and Content Delivery (2 papers), Advanced Statistical Methods and Models (2 papers), Image Retrieval and Classification Techniques (2 papers), Imbalanced Data Classification Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Artificial Intelligence (111 citations), Computer Networks and Communications (66 citations), Signal Processing (21 citations) and Computational Mathematics (1 citation). Aydın Ulaş has collaborated with scholars based in Türkiye, Italy and Netherlands. Frequent co-authors include Olcay Taner Yıldız, Ethem Alpaydın, Bülent Sankur, Lale Akarun, Helin Dutağacı, Berk Gökberk, Burak Görkemli, Didem Gözüpek, Berna Özbek and Vittorio Murino. Their work appears in journals such as Information Sciences, International Journal of Imaging Systems and Technology, Computer Networks, Pattern Recognition and Neurocomputing.
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.