İpek Oğuz
Impact in
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neurology top 5%
Papers in
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- Medical Image Segmentation Techniques 35
- Advanced Neural Network Applications 12
- Digital Imaging for Blood Diseases 9
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- Advanced Neuroimaging Techniques and Applications 24
- Advanced MRI Techniques and Applications 13
- Retinal Imaging and Analysis 13
- Co-authors
- Martin Styner (31 shared papers)Guido Gerig (10 shared papers)Shun Xu (3 shared papers)Dimitrios Pantazis (3 shared papers)James J. Levitt (2 shared papers)Martha E. Shenton (3 shared papers)François Budin (10 shared papers)Fulton T. Crews (7 shared papers)
- Journals
- Lecture notes in computer science (31 papers)The Journal of Urology (3 papers)PLoS ONE (3 papers)Frontiers in Psychiatry (2 papers)Molecular Psychiatry (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
İpek Oğuz
129 papers receiving 2.8k citations
İpek Oğuz's Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 845
- Neurology 226
- Computer Vision and Pattern Recognition 616
- Health Informatics 32
- Pediatrics, Perinatology and Child Health 386
Countries citing papers authored by İpek Oğuz
This map shows the geographic impact of İpek Oğuz'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 İpek Oğuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İpek Oğuz more than expected).
Fields of papers citing papers by İpek Oğuz
This network shows the impact of papers produced by İpek Oğuz. 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 İpek Oğuz. The network helps show where İpek Oğuz may publish in the future.
Co-authors
The 25 scholars most cited alongside İpek Oğuz, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM. Hit paper breakdown → | 2006 | 324 |
| 2 | 2006 | 268 | |
| 3 | 2014 | 204 | |
| 4 | 2013 | 141 | |
| 5 | 2012 | 130 | |
| 6 | 2020 | 127 | |
| 7 | 2018 | 105 | |
| 8 | 2015 | 86 | |
| 9 | 2018 | 76 | |
| 10 | 2011 | 73 | |
| 11 | 2013 | 60 | |
| 12 | 2012 | 53 | |
| 13 | 2019 | 51 | |
| 14 | 2015 | 44 | |
| 15 | 2013 | 44 | |
| 16 | 2022 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2013 | 39 | |
| 19 | 2018 | 37 | |
| 20 | 2013 | 35 |
About İpek Oğuz
İpek Oğuz is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 132 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Advanced Neuroimaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (13 papers), Retinal Imaging and Analysis (13 papers), Advanced Neural Network Applications (12 papers), Cell Image Analysis Techniques (10 papers), Digital Imaging for Blood Diseases (9 papers) and Brain Tumor Detection and Classification (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (845 citations), Neurology (226 citations), Computer Vision and Pattern Recognition (616 citations), Health Informatics (32 citations) and Pediatrics, Perinatology and Child Health (386 citations). İpek Oğuz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Martin Styner, Guido Gerig, Shun Xu, Dimitrios Pantazis, James J. Levitt, Martha E. Shenton, François Budin, Fulton T. Crews, Milan Sonka and Christian Brechbühler. Their work appears in journals such as Lecture notes in computer science, The Journal of Urology, PLoS ONE, Frontiers in Psychiatry and Molecular Psychiatry.
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.