Ender Konukoglu
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 3
- Medical Image Segmentation Techniques 2
- Co-authors
- Antonio Criminisi (2 shared papers)Jamie Shotton (1 shared paper)Xiaoran Chen (2 shared papers)Nicholas Ayache (2 shared papers)Bjoern Menze (2 shared papers)Marc‐André Weber (2 shared papers)Hervé Delingette (1 shared paper)Bram Stieltjes (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Physics and Imaging in Radiation Oncology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Ender Konukoglu
11 papers receiving 490 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 99
- Computer Vision and Pattern Recognition 192
- Radiology, Nuclear Medicine and Imaging 169
- Neurology 50
- Artificial Intelligence 154
Countries citing papers authored by Ender Konukoglu
This map shows the geographic impact of Ender Konukoglu'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 Ender Konukoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ender Konukoglu more than expected).
Fields of papers citing papers by Ender Konukoglu
This network shows the impact of papers produced by Ender Konukoglu. 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 Ender Konukoglu. The network helps show where Ender Konukoglu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ender Konukoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning | 2011 | 138 |
| 2 | 2009 | 135 | |
| 3 | 2020 | 64 | |
| 4 | 2018 | 56 | |
| 5 | 2011 | 40 | |
| 6 | 2011 | 40 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2017 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 |
About Ender Konukoglu
Ender Konukoglu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 13 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Medical Image Segmentation Techniques (2 papers), Brain Tumor Detection and Classification (2 papers), Mathematical Biology Tumor Growth (2 papers), 3D Surveying and Cultural Heritage (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Mathematical Modeling in Engineering (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (99 citations), Computer Vision and Pattern Recognition (192 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Neurology (50 citations) and Artificial Intelligence (154 citations). Ender Konukoglu has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Antonio Criminisi, Jamie Shotton, Xiaoran Chen, Nicholas Ayache, Bjoern Menze, Marc‐André Weber, Hervé Delingette, Bram Stieltjes, Emmanuel Mandonnet and Olivier Clatz. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and Physics and Imaging in Radiation Oncology.
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.