Engin Dikici
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Health Informatics
- Co-authors
- Luciano M. PrevedelloXuan V. NguyenBarbaros S. ErdalRichard WhiteThomas O’DonnellRichard D. WhiteHans TorpRandolph M. Setser
- Topics
- Medical Imaging Techniques and Applications (3 papers)Brain Tumor Detection and Classification (3 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- Computers in Biology and MedicineLecture notes in computer scienceComputerized Medical Imaging and Graphics
- Partner nations
- United StatesNorway
In The Last Decade
Engin Dikici
12 papers receiving 70 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 35
- Computer Vision and Pattern Recognition 14
- Cardiology and Cardiovascular Medicine 13
- Artificial Intelligence 13
- Health Informatics 11
Countries citing papers authored by Engin Dikici
This map shows the geographic impact of Engin Dikici'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 Engin Dikici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engin Dikici more than expected).
Fields of papers citing papers by Engin Dikici
This network shows the impact of papers produced by Engin Dikici. 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 Engin Dikici. The network helps show where Engin Dikici may publish in the future.
Co-authorship network of co-authors of Engin Dikici
This figure shows the co-authorship network connecting the top 25 collaborators of Engin Dikici. A scholar is included among the top collaborators of Engin Dikici based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Engin Dikici. Engin Dikici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | Isoparametric finite element analysis for Doo-Sabin subdivision models | 6 |
| 8 | 6 | |
| 9 | 1 | |
| 10 | Graph-cut based edge detection for kalman filter based left ventricle tracking in 3D+T echocardiography | 6 |
| 11 | 4 | |
| 12 | 8 |
About Engin Dikici
Engin Dikici is a scholar working on Health Informatics, Neurology and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 71 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Brain Tumor Detection and Classification (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Neurology (9 citations). Engin Dikici has collaborated with scholars based in United States and Norway. Frequent co-authors include Luciano M. Prevedello, Xuan V. Nguyen, Barbaros S. Erdal, Richard White, Thomas O’Donnell, Richard D. White, Hans Torp, Randolph M. Setser, Leo Grady and Robyn L. Ball. Their work appears in journals such as Computers in Biology and Medicine, Lecture notes in computer science and Computerized Medical Imaging and Graphics.
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.