Oğuz Dıcle

2.3k citations
75 papers · 1.0k indexed · h-index 19

Impact in

Papers in

Oğuz Dıcle

71 papers receiving 1.0k citations

Peers

Oğuz Dıcle
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 319
  • Hepatology 108
  • Obstetrics and Gynecology 92
  • Health Informatics 15
  • Computer Vision and Pattern Recognition 172
Replace Ashish Verma with:
Ashish Verma India
Steven C. Horii United States
Hajime Nakata Japan
Jeroen C. van Rijn Netherlands
B. Gallix France
Krishna Juluru United States
Yuhao Dong China
Karl‐Friedrich Kowalewski Germany
P. Voet Netherlands
Joseph R. Grajo United States
Oğuz Dıcle relative to Ashish Verma India Ashish Verma's profile →
Citations per field
00.5×7.5×
Ashish Verma · 1×
Citations per year

Countries citing papers authored by Oğuz Dıcle

Since Specialization
Citations

This map shows the geographic impact of Oğuz Dıcle'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 Oğuz Dıcle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oğuz Dıcle more than expected).

Fields of papers citing papers by Oğuz Dıcle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oğuz Dıcle. 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 Oğuz Dıcle. The network helps show where Oğuz Dıcle may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Oğuz Dıcle, 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 Oğuz Dıcle Line = papers co-authored together Oğuz Dıcle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20215
4 202016
5 20196
6 201954
7 20153
8 20151
9 201513
10 201422
11 201243
12 20092
13 200612
14 20069
15 200510
16 20014
17 200119
18
Evaluation of hepatic hemangioma with technetium-99m RBC scintigraphy: A review of 74 cases with liver masses
20001
19 19994
20 199940

About Oğuz Dıcle

Oğuz Dıcle is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Hepatology and Statistics, Probability and Uncertainty, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), Medical Imaging Techniques and Applications (6 papers), Gastrointestinal disorders and treatments (5 papers), Advanced MRI Techniques and Applications (5 papers) and Radiology practices and education (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (319 citations), Hepatology (108 citations), Obstetrics and Gynecology (92 citations), Health Informatics (15 citations) and Computer Vision and Pattern Recognition (172 citations). Oğuz Dıcle has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Mustafa Seçil, Funda Obuz, Yiğit Göktay, Evgin Göçeri, M. Alper Selver, Cemal Posacı, Cüneyt Güzelіș, Aslı Süner, Canan Altay and Pınar Balci. Their work appears in journals such as European Radiology, Computerized Medical Imaging and Graphics, British Journal of Radiology, Computers in Biology and Medicine and European Journal of Radiology.

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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