Ender Konukoglu
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Modeling and Simulation top 5%
- Neurology
- Co-authors
- Antonio CriminisiJamie ShottonXiaoran ChenMarc‐André WeberBjoern MenzeOlivier ClatzNicholas AyacheHervé Delingette
- Topics
- Medical Image Segmentation Techniques (3 papers)Advanced Neural Network Applications (3 papers)Mathematical Biology Tumor Growth (2 papers)
- Cited by
- Modeling and SimulationComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Ender Konukoglu
11 papers receiving 483 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 194
- Radiology, Nuclear Medicine and Imaging 182
- Artificial Intelligence 159
- Modeling and Simulation 100
- Neurology 51
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-authorship network of co-authors of Ender Konukoglu
This figure shows the co-authorship network connecting the top 25 collaborators of Ender Konukoglu. A scholar is included among the top collaborators of Ender Konukoglu 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 Ender Konukoglu. Ender Konukoglu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 62 | |
| 7 | 56 | |
| 8 | 1 | |
| 9 | 39 | |
| 10 | 40 | |
| 11 | Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning | 137 |
| 12 | 135 |
About Ender Konukoglu
Ender Konukoglu is a scholar working on Modeling and Simulation, Computer Vision and Pattern Recognition 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) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Computer Vision and Pattern Recognition (194 citations) and Radiology, Nuclear Medicine and Imaging (182 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, Olivier Clatz, Nicholas Ayache, Hervé Delingette, Emmanuel Mandonnet and Bram Stieltjes. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical 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.