Darko Zikic
Impact in
- Neurology top 2%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 22
- Advanced Vision and Imaging 8
- Advanced Image and Video Retrieval Techniques 8
- Advanced Neural Network Applications 4
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- Robotics and Sensor-Based Localization 10
- Co-authors
- Antonio Criminisi (15 shared papers)Ben Glocker (17 shared papers)Ender Konukoğlu (7 shared papers)Nassir Navab (20 shared papers)Yani Ioannou (2 shared papers)Matthew A. Brown (2 shared papers)Martin Groher (5 shared papers)David R. Haynor (2 shared papers)
- Journals
- Medical Image Analysis (3 papers)Lecture notes in computer science (14 papers)Biochemical Pharmacology (1 paper)IEEE Transactions on Medical Imaging (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Darko Zikic
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Neurology 324
- Computer Vision and Pattern Recognition 717
- Radiology, Nuclear Medicine and Imaging 437
- Oral Surgery 60
- Biophysics 41
Countries citing papers authored by Darko Zikic
This map shows the geographic impact of Darko Zikic'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 Darko Zikic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darko Zikic more than expected).
Fields of papers citing papers by Darko Zikic
This network shows the impact of papers produced by Darko Zikic. 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 Darko Zikic. The network helps show where Darko Zikic may publish in the future.
Co-authors
The 25 scholars most cited alongside Darko Zikic, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 180 | |
| 2 | Segmentation of Brain Tumor Tissues with Convolutional Neural Networks | 2014 | 158 |
| 3 | 2007 | 107 | |
| 4 | 2013 | 103 | |
| 5 | 2013 | 84 | |
| 6 | 2017 | 68 | |
| 7 | 2013 | 67 | |
| 8 | 2014 | 64 | |
| 9 | 2009 | 60 | |
| 10 | 2014 | 52 | |
| 11 | 2012 | 42 | |
| 12 | 2013 | 39 | |
| 13 | 2006 | 37 | |
| 14 | 2013 | 36 | |
| 15 | 2010 | 31 | |
| 16 | 2014 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 2008 | 17 | |
| 19 | 2008 | 15 | |
| 20 | 2008 | 11 |
About Darko Zikic
Darko Zikic is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (22 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (4 papers), Medical Imaging and Analysis (4 papers), MRI in cancer diagnosis (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Neurology (324 citations), Computer Vision and Pattern Recognition (717 citations), Radiology, Nuclear Medicine and Imaging (437 citations), Oral Surgery (60 citations) and Biophysics (41 citations). Darko Zikic has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Antonio Criminisi, Ben Glocker, Ender Konukoğlu, Nassir Navab, Yani Ioannou, Matthew A. Brown, Martin Groher, David R. Haynor, Owen Thomas and Stephen J. Price. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, Biochemical Pharmacology, IEEE Transactions on Medical Imaging and European Journal of Nuclear Medicine and Molecular Imaging.
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.