Gungor Polatkan
Impact in
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- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
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- Advanced Graph Neural Networks 2
- Sentiment Analysis and Opinion Mining 1
- Bayesian Modeling and Causal Inference 1
- Co-authors
- Lawrence Carin (3 shared papers)David B. Dunson (2 shared papers)Guillermo Sapiro (2 shared papers)Bo Chen (1 shared paper)Ingrid Daubechies (3 shared papers)Shannon M. Hughes (3 shared papers)Mingyuan Zhou (1 shared paper)David M. Blei (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Transportation Research Record Journal of the Transportation Research Board (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesTürkiye
In The Last Decade
Gungor Polatkan
11 papers receiving 285 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 151
- Media Technology 62
- Conservation 13
- Computational Mathematics 2
- Health Informatics 4
Countries citing papers authored by Gungor Polatkan
This map shows the geographic impact of Gungor Polatkan'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 Gungor Polatkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gungor Polatkan more than expected).
Fields of papers citing papers by Gungor Polatkan
This network shows the impact of papers produced by Gungor Polatkan. 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 Gungor Polatkan. The network helps show where Gungor Polatkan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gungor Polatkan, 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 | 2013 | 78 | |
| 2 | 2014 | 61 | |
| 3 | 2018 | 45 | |
| 4 | 2009 | 42 | |
| 5 | Stylistic analysis of paintings usingwavelets and machine learning | 2009 | 21 |
| 6 | The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning | 2011 | 20 |
| 7 | 2007 | 15 | |
| 8 | 2018 | 9 | |
| 9 | 2019 | 2 | |
| 10 | 2012 | 1 | |
| 11 | 2009 | 1 |
About Gungor Polatkan
Gungor Polatkan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Information Systems and Media Technology, having authored 11 papers that have together received 295 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (3 papers), Advanced Graph Neural Networks (2 papers), Image Retrieval and Classification Techniques (2 papers), Web Data Mining and Analysis (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Transportation and Mobility Innovations (1 paper), Medical Image Segmentation Techniques (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Media Technology (62 citations), Conservation (13 citations), Computational Mathematics (2 citations) and Health Informatics (4 citations). Gungor Polatkan has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Lawrence Carin, David B. Dunson, Guillermo Sapiro, Bo Chen, Ingrid Daubechies, Shannon M. Hughes, Mingyuan Zhou, David M. Blei, Sina Jafarpour and Ingrid Daubechies. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Transportation Research Record Journal of the Transportation Research Board, CERN Document Server (European Organization for Nuclear Research), International Conference on Machine Learning and arXiv (Cornell University).
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.