Mutlu Demirer

513 total citations
19 papers, 343 citations indexed

About

Mutlu Demirer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mutlu Demirer has authored 19 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mutlu Demirer's 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). Mutlu Demirer is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). Mutlu Demirer collaborates with scholars based in United States, Germany and Türkiye. Mutlu Demirer's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Mutlu Demirer

17 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mutlu Demirer United States 8 183 105 101 75 57 19 343
Keewon Shin South Korea 9 199 1.1× 58 0.6× 131 1.3× 122 1.6× 31 0.5× 21 455
Alexander Bilbily Canada 6 313 1.7× 127 1.2× 104 1.0× 96 1.3× 31 0.5× 14 527
John Ryu United States 5 111 0.6× 59 0.6× 40 0.4× 52 0.7× 49 0.9× 8 213
Ryoungwoo Jang South Korea 7 214 1.2× 49 0.5× 113 1.1× 124 1.7× 19 0.3× 8 398
Félix Paulano‐Godino Spain 7 128 0.7× 88 0.8× 119 1.2× 69 0.9× 27 0.5× 19 329
Soichiro Miki Japan 14 323 1.8× 74 0.7× 94 0.9× 152 2.0× 50 0.9× 51 659
Sebastian Tschauner Austria 13 186 1.0× 96 0.9× 120 1.2× 59 0.8× 37 0.6× 45 411
Takahiro Nakao Japan 10 219 1.2× 76 0.7× 44 0.4× 107 1.4× 40 0.7× 34 460
Vikash Gupta United States 10 108 0.6× 52 0.5× 75 0.7× 26 0.3× 31 0.5× 28 265
Gino Mongelluzzo United States 6 124 0.7× 78 0.7× 59 0.6× 85 1.1× 116 2.0× 15 358

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
1.
2.
Salem, Amr, Demilade Adedinsewo, Mutlu Demirer, et al.. (2024). Differential associations between abnormal cardiac left ventricular geometry types and cerebral white matter disease. Journal of Stroke and Cerebrovascular Diseases. 33(6). 107709–107709.
3.
Demirer, Mutlu, et al.. (2024). Framingham Stroke Risk Profile Score and White Matter Disease Progression. The Neurologist. 29(5). 259–264. 1 indexed citations
4.
Lin, Michelle, Mutlu Demirer, Erik H. Middlebrooks, et al.. (2023). Greater burden of white matter lesions and silent infarcts ipsilateral to carotid stenosis. Journal of Stroke and Cerebrovascular Diseases. 32(9). 107287–107287. 2 indexed citations
5.
Gupta, Vikash, Barbaros S. Erdal, Richard D. White, et al.. (2023). Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. 1–6. 1 indexed citations
6.
Gupta, Vikash, Barbaros S. Erdal, Richard White, et al.. (2022). Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 14. 3399–3406. 1 indexed citations
7.
8.
Erdal, Barbaros S., Mutlu Demirer, Kevin J. Little, et al.. (2020). Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?. PLoS ONE. 15(10). e0240184–e0240184. 17 indexed citations
9.
Gupta, Vikash, Mutlu Demirer, Joseph S. Yu, et al.. (2020). Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. 1526–1529. 10 indexed citations
10.
Demirer, Mutlu, Barbaros S. Erdal, Timothy D. Eubank, et al.. (2020). Bone grafting history affects soft tissue healing following implant placement. Journal of Periodontology. 92(2). 234–243. 14 indexed citations
11.
Demirer, Mutlu, Sema Candemir, Vikash Gupta, et al.. (2019). A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiology Artificial Intelligence. 1(6). e180095–e180095. 24 indexed citations
12.
13.
Yu, Joseph S., Barbaros S. Erdal, Mutlu Demirer, et al.. (2019). Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept. Clinical Radiology. 75(3). 237.e1–237.e9. 50 indexed citations
14.
Demirer, Mutlu. (2019). Image dataset for a CNN algorithm development to detect coronary atherosclerosis in coronary CT angiography. Data Archiving and Networked Services (DANS). 1. 4 indexed citations
15.
Candemir, Sema, Richard D. White, Mutlu Demirer, et al.. (2019). Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. 1 indexed citations
16.
Erdal, Barbaros S., Luciano M. Prevedello, Mutlu Demirer, et al.. (2017). Radiology and Enterprise Medical Imaging Extensions (REMIX). Journal of Digital Imaging. 31(1). 91–106. 9 indexed citations
17.
Prevedello, Luciano M., Barbaros S. Erdal, John Ryu, et al.. (2017). Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging. Radiology. 285(3). 923–931. 180 indexed citations
18.
Demirer, Mutlu, et al.. (2009). Laser-based light barrier having a rectangular detection area. Optics and Lasers in Engineering. 48(4). 435–440. 6 indexed citations
19.
Demirer, Mutlu, et al.. (2002). An RBF approach to single trial VEP estimation. 54–56. 4 indexed citations

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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