Gözde Ünal
Impact in
- Neurology top 1%
- Transcranial Magnetic Stimulation Studies
- Brain Tumor Detection and Classification
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
Papers in
-
- Medical Image Segmentation Techniques 35
- Image Retrieval and Classification Techniques 10
- Advanced Neural Network Applications 9
- Image and Object Detection Techniques 9
- Image and Signal Denoising Methods 8
- Co-authors
- Greg Slabaugh (25 shared papers)Anthony Yezzi (11 shared papers)Tong Fang (15 shared papers)N. Kucuk (2 shared papers)K. Engin (2 shared papers)Andaç Hamamcı (2 shared papers)Marom Bikson (16 shared papers)Hamid Krim (7 shared papers)
- Journals
- Brain stimulation (7 papers)IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Medical Imaging (3 papers)Pattern Recognition (3 papers)Ultrasound in Medicine & Biology (2 papers)
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Gözde Ünal
116 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 158
- Neurology 556
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 218
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 427
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-authors
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
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 200 | |
| 2 | 2019 | 127 | |
| 3 | 2018 | 109 | |
| 4 | 2019 | 106 | |
| 5 | 2008 | 101 | |
| 6 | 2020 | 83 | |
| 7 | 2005 | 83 | |
| 8 | 2018 | 82 | |
| 9 | 2016 | 79 | |
| 10 | 2016 | 76 | |
| 11 | 2010 | 72 | |
| 12 | 2019 | 56 | |
| 13 | 2018 | 54 | |
| 14 | 2012 | 50 | |
| 15 | 2015 | 49 | |
| 16 | 2004 | 48 | |
| 17 | 2005 | 40 | |
| 18 | 2009 | 39 | |
| 19 | 2007 | 36 | |
| 20 | 2021 | 36 |
About Gözde Ünal
Gözde Ünal is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology, Biomedical Engineering and Computational Mechanics, having authored 121 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 (14 papers), 3D Shape Modeling and Analysis (10 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Neural Network Applications (9 papers), Image and Object Detection Techniques (9 papers), Coronary Interventions and Diagnostics (8 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Neurology (556 citations), Computer Vision and Pattern Recognition (1.0k citations), Media Technology (218 citations), Health Informatics (31 citations) and Radiology, Nuclear Medicine and Imaging (427 citations). Gözde Ünal has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Greg Slabaugh, Anthony Yezzi, Tong Fang, N. Kucuk, K. Engin, Andaç Hamamcı, Marom Bikson, Hamid Krim, Kutlay Karaman and Elif Sertel. Their work appears in journals such as Brain stimulation, IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, Pattern Recognition and Ultrasound in Medicine & Biology.
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.