Can Ceritoglu

2.2k citations
43 papers · 1.8k · h-index 21

Impact in

Papers in

Can Ceritoglu

41 papers receiving 1.7k citations

Peers

Can Ceritoglu
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 753
  • Cognitive Neuroscience 466
  • Psychiatry and Mental health 252
  • Neurology 122
  • Computer Vision and Pattern Recognition 226
Replace Shiva Keihaninejad with:
Shiva Keihaninejad United Kingdom
Édouard Duchesnay France
Uicheul Yoon South Korea
Salima Makni France
Marius de Groot Netherlands
Christina Avedissian United States
Andrea D. Klunder United States
Dominique Sappey‐Marinier France
Vitria Adisetiyo United States
Anne‐Marie van Cappellen van Walsum Netherlands
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Citations per field
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Shiva Keihaninejad · 1×
Citations per year

Countries citing papers authored by Can Ceritoglu

Since Specialization
Citations

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

Fields of papers citing papers by Can Ceritoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can Ceritoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Can Ceritoglu Line = papers co-authored together Can Ceritoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 2012166
3 2009159
4 2005152
5 2007139
6 2010134
7 201591
8 200885
9 201275
10 201968
11 201551
12 201447
13 201045
14 201340
15 201138
16 201832
17 201230
18 201530
19 201228
20 201926

About Can Ceritoglu

Can Ceritoglu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Psychiatry and Mental health and Neurology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (9 papers), Medical Image Segmentation Techniques (8 papers), Functional Brain Connectivity Studies (7 papers), Medical Imaging Techniques and Applications (5 papers), Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (753 citations), Cognitive Neuroscience (466 citations), Psychiatry and Mental health (252 citations), Neurology (122 citations) and Computer Vision and Pattern Recognition (226 citations). Can Ceritoglu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael I. Miller, Susumu Mori, Kenichi Oishi, Mirza Faisal Beg, Constantine G. Lyketsos, Marilyn Albert, Timothy Brown, Andréia V. Faria, Craig E.L. Stark and Yue Li. Their work appears in journals such as NeuroImage, NeuroImage Clinical, IEEE Transactions on Medical Imaging, NMR in Biomedicine and Frontiers in Neuroscience.

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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