İpek Oğuz

3.8k citations
119 papers · 2.6k · h-index 24

Impact in

Papers in

İpek Oğuz

117 papers receiving 2.6k citations

Peers

İpek Oğuz
Comparison fields: 5 of 150
  • Radiology, Nuclear Medicine and Imaging 768
  • Neurology 200
  • Computer Vision and Pattern Recognition 501
  • Health Informatics 28
  • Pediatrics, Perinatology and Child Health 358
Replace T.M. Peters with:
T.M. Peters Canada
Mirza Faisal Beg Canada
Kilian M. Pohl United States
Marcel Prastawa United States
Hans J. Johnson United States
Édouard Duchesnay France
Yonggang Shi United States
Daniel S. Marcus United States
Jürgen Fripp Australia
Stanley Durrleman France
İpek Oğuz relative to T.M. Peters Canada T.M. Peters's profile →
Citations per field
00.5×1.5×2.2×
T.M. Peters · 1×
Citations per year

Countries citing papers authored by İpek Oğuz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with İpek Oğuz Line = papers co-authored together İpek Oğuz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 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.
2006302
2 2006252
3 2014199
4 2013139
5 2020125
6 2012122
7 2018104
8 201585
9 201171
10 201869
11 201360
12 201251
13 201945
14 201544
15 201342
16 201338
17 201338
18 201837
19 202236
20 201334

About İpek Oğuz

İpek Oğuz is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (32 papers), Advanced Neuroimaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (13 papers), Advanced Neural Network Applications (11 papers), Cell Image Analysis Techniques (10 papers), Retinal Imaging and Analysis (9 papers), Optical Coherence Tomography Applications (8 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (768 citations), Neurology (200 citations), Computer Vision and Pattern Recognition (501 citations), Health Informatics (28 citations) and Pediatrics, Perinatology and Child Health (358 citations). İpek Oğuz has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Martin Styner, Guido Gerig, Dimitrios Pantazis, Shun Xu, Martha E. Shenton, James J. Levitt, François Budin, Fulton T. Crews, Milan Sonka and Christian Brechbühler. Their work appears in journals such as PLoS ONE, The Journal of Urology, Lecture notes in computer science, Human Brain Mapping and Neurotoxicology and Teratology.

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.

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