Mutlu Demirer

513 citations
19 papers · 343 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)Advanced X-ray and CT Imaging (5 papers)AI in cancer detection (4 papers)

In The Last Decade

Mutlu Demirer

17 papers receiving 337 citations

Peers

Mutlu Demirer
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 183
  • Health Informatics 105
  • Biomedical Engineering 101
  • Artificial Intelligence 75
  • Epidemiology 57
Replace Keewon Shin with:
Keewon Shin South Korea
Soichiro Miki Japan
John Ryu United States
Alexander Bilbily Canada
Ryoungwoo Jang South Korea
Takahiro Nakao Japan
Félix Paulano‐Godino Spain
Sebastian Tschauner Austria
Jiayu Huo China
Vikash Gupta United States
Mutlu Demirer relative to Keewon Shin South Korea Keewon Shin's profile →
Citations per field
00.5×10×20×29×
Keewon Shin · 1×
Citations per year

Countries citing papers authored by Mutlu Demirer

Since Specialization
Citations

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

Fields of papers citing papers by Mutlu Demirer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutlu Demirer

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 1
6 1
7 2
8 17
9 10
10 14
11 24
12 17
13 50
14 4
15
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks
1
16 9
17 180
18 6
19 4

About Mutlu Demirer

Mutlu Demirer is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pharmacy, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (105 citations), Radiology, Nuclear Medicine and Imaging (183 citations) and Oral Surgery (25 citations). Mutlu Demirer has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Barbaros S. Erdal, Luciano M. Prevedello, Kevin J. Little, Richard White, John Ryu, Vikash Gupta, Richard D. White, Joseph S. Yu, A. Salvador and Thomas Rink. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.

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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