Ender Konukoglu
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- Medical Image Segmentation Techniques 3
- Advanced Neural Network Applications 3
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Antonio Criminisi (2 shared papers)Jamie Shotton (1 shared paper)Xiaoran Chen (2 shared papers)Marc‐André Weber (2 shared papers)Bjoern Menze (2 shared papers)Nicholas Ayache (1 shared paper)Emmanuel Mandonnet (1 shared paper)Bram Stieltjes (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Physics and Imaging in Radiation Oncology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Ender Konukoglu
11 papers receiving 483 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 100
- Computer Vision and Pattern Recognition 194
- Radiology, Nuclear Medicine and Imaging 182
- Neurology 51
- Artificial Intelligence 159
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 | 137 |
| 2 | 2009 | 135 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 56 | |
| 5 | 2011 | 40 | |
| 6 | 2011 | 39 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2025 | 0 |
About Ender Konukoglu
Ender Konukoglu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 12 papers that have together received 494 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Advanced Neural Network Applications (3 papers), Brain Tumor Detection and Classification (2 papers), Mathematical Biology Tumor Growth (2 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (100 citations), Computer Vision and Pattern Recognition (194 citations), Radiology, Nuclear Medicine and Imaging (182 citations), Neurology (51 citations) and Artificial Intelligence (159 citations). Ender Konukoglu has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Antonio Criminisi, Jamie Shotton, Xiaoran Chen, Marc‐André Weber, Bjoern Menze, Nicholas Ayache, Emmanuel Mandonnet, Bram Stieltjes, Olivier Clatz and Hervé Delingette. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Physics and Imaging in Radiation Oncology and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.