Gözde Ünal
- Neurology top 1%
- Transcranial Magnetic Stimulation Studies 16
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- Medical Image Segmentation Techniques 35
- Image Retrieval and Classification Techniques 10
- Image and Object Detection Techniques 9
- Advanced Neural Network Applications 9
- Image and Signal Denoising Methods 8
- Health Informatics top 5%
- Media Technology top 2%
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- 3D Shape Modeling and Analysis 10
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- Coronary Interventions and Diagnostics 8
- Journals
- Brain stimulation (7 papers)IEEE Transactions on Image Processing (3 papers)Pattern Recognition (3 papers)
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Gözde Ünal
116 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 164
- Neurology 580
- Computer Vision and Pattern Recognition 1.0k
- Health Informatics 34
- Media Technology 217
- Radiology, Nuclear Medicine and Imaging 477
Countries citing papers authored by Gözde Ünal
This map shows the geographic impact of Gözde Ünal'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 Gözde Ünal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gözde Ünal more than expected).
Fields of papers citing papers by Gözde Ünal
This network shows the impact of papers produced by Gözde Ünal. 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 Gözde Ünal. The network helps show where Gözde Ünal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gözde Ünal, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 81 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 102 | |
| 11 | 2019 | 54 | |
| 12 | 2018 | 105 | |
| 13 | 2018 | 79 | |
| 14 | 2016 | 77 | |
| 15 | 2013 | 18 | |
| 16 | 2012 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2009 | 33 | |
| 19 | 2008 | 101 | |
| 20 | 2007 | 16 |
About Gözde Ünal
Gözde Ünal is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Neurology, Space and Planetary Science and Computer Graphics and Computer-Aided Design, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Transcranial Magnetic Stimulation Studies (16 papers), Image Retrieval and Classification Techniques (10 papers), 3D Shape Modeling and Analysis (10 papers), Image and Object Detection Techniques (9 papers), Advanced Neural Network Applications (9 papers), Image and Signal Denoising Methods (8 papers) and Coronary Interventions and Diagnostics (8 papers). The work is most often cited by research in Neurology (580 citations), Computer Vision and Pattern Recognition (1.0k citations), Health Informatics (34 citations), Media Technology (217 citations) and Radiology, Nuclear Medicine and Imaging (477 citations). Gözde Ünal has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Greg Slabaugh, Tong Fang, Anthony Yezzi, Andaç Hamamcı, N. Kucuk, K. Engin, Marom Bikson, Hamid Krim, Kutlay Karaman and Stéphane Carlier. Their work appears in journals such as Brain stimulation, IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Medical Imaging and Scientific Reports.
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.