Kerem Can Tezcan

565 citations
8 papers · 271 indexed · h-index 7
Topics
Advanced MRI Techniques and Applications (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Medical Imaging Techniques and Applications (2 papers)

In The Last Decade

Kerem Can Tezcan

8 papers receiving 268 citations

Peers

Kerem Can Tezcan
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 164
  • Artificial Intelligence 91
  • Computer Vision and Pattern Recognition 45
  • Biomedical Engineering 38
  • Molecular Biology 25
Replace Zhaobang Liu with:
Zhaobang Liu China
Andrew Cameron Canada
Farhad Ghazvinian Zanjani Netherlands
Gil Shamai Israel
Subrata Bhattacharjee South Korea
Alican Bozkurt United States
Liyan Lin China
Kazuaki Nakane Japan
Jiquan Ma China
Kerem Can Tezcan relative to Zhaobang Liu China Zhaobang Liu's profile →
Citations per field
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Zhaobang Liu · 1×
Citations per year

Countries citing papers authored by Kerem Can Tezcan

Since Specialization
Citations

This map shows the geographic impact of Kerem Can Tezcan'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 Kerem Can Tezcan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerem Can Tezcan more than expected).

Fields of papers citing papers by Kerem Can Tezcan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerem Can Tezcan. 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 Kerem Can Tezcan. The network helps show where Kerem Can Tezcan may publish in the future.

Co-authorship network of co-authors of Kerem Can Tezcan

This figure shows the co-authorship network connecting the top 25 collaborators of Kerem Can Tezcan. A scholar is included among the top collaborators of Kerem Can Tezcan 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 Kerem Can Tezcan. Kerem Can Tezcan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 55
2 62
3 10
4 80
5
MR image reconstruction using the learned data distribution as prior.
1
6 25
7 15
8 23

About Kerem Can Tezcan

Kerem Can Tezcan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology, having authored 8 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Biophysics (17 citations). Kerem Can Tezcan has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Ender Konukoğlu, Ender Konukoglu, Roger Luechinger, Klaas P. Pruessmann, Christian F. Baumgartner, Sebastian Kozerke, Daniel C. Castro, Shruthi Bannur, Aditya Nori and Miguel Monteiro. Their work appears in journals such as Nature Communications, IEEE Transactions on Medical Imaging and Oncotarget.

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.

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