İpek Oğuz

3.7k citations
118 papers · 2.6k indexed · 1 hit paper · h-index 24

İpek Oğuz

117 papers receiving 2.5k citations

Hit Papers

Framework for the Statistical Shape Analysis of Brain Str...3012006202620122019100200300

Peers

İpek Oğuz
Comparison fields: 5 of 152
  • Radiology, Nuclear Medicine and Imaging 886
  • Neurology 221
  • Computer Vision and Pattern Recognition 540
  • Health Informatics 32
  • Cognitive Neuroscience 402
Replace T.M. Peters with:
T.M. Peters Canada
Kilian M. Pohl United States
Marcel Prastawa United States
Édouard Duchesnay France
Yonggang Shi United States
Hans J. Johnson United States
Stanley Durrleman France
Zhong Xue United States
Jürgen Fripp Australia
Christian Barillot 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-authorship network

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
#Work
1 20251
2 20250
3 20251
4 20241
5 20243
6 202415
7 20244
8 20232
9 20232
10 20231
11 20231
12 20228
13 20224
14 20209
15 20207
16 201827
17 20167
18 201582
19 20148
20 201250

About İpek Oğuz

İpek Oğuz is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics, Computational Mathematics and Neurology, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (33 papers), Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (14 papers), Advanced Neural Network Applications (12 papers), Cell Image Analysis Techniques (10 papers), Retinal Imaging and Analysis (9 papers), Brain Tumor Detection and Classification (8 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (886 citations), Neurology (221 citations), Computer Vision and Pattern Recognition (540 citations), Health Informatics (32 citations) and Cognitive Neuroscience (402 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 Leon G. Coleman. Their work appears in journals such as The Journal of Urology, PLoS ONE, Lecture notes in computer science, Journal of Endourology and Frontiers in 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.

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