Onat Dalmaz

1.3k total citations · 2 hit papers
17 papers, 658 citations indexed

About

Onat Dalmaz is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Onat Dalmaz has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Onat Dalmaz's work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image Processing Techniques (5 papers) and Advanced MRI Techniques and Applications (4 papers). Onat Dalmaz is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image Processing Techniques (5 papers) and Advanced MRI Techniques and Applications (4 papers). Onat Dalmaz collaborates with scholars based in Türkiye, United States and Panama. Onat Dalmaz's co-authors include Tolga Çukur, Mahmut Yurt, Hasan A. Bedel, Muzaffer Özbey, Alper Güngör, Salman Ul Hassan Dar, Kader Karlı Oğuz, Ulaş Bağcı, Salman Avestimehr and Emine Ülkü Sarıtaş and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Onat Dalmaz

13 papers receiving 641 citations

Hit Papers

ResViT: Residual Vision Transformers for Multimodal Medic... 2022 2026 2023 2024 2022 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
    2022 303 citations Onat Dalmaz, Mahmut Yurt et al. IEEE Transactions on Medical Imaging profile →
  2. Unsupervised Medical Image Translation With Adversarial Diffusion Models
    2023 230 citations Muzaffer Özbey, Onat Dalmaz et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Onat Dalmaz Türkiye 7 311 292 197 100 66 17 658
Muzaffer Özbey Türkiye 7 294 0.9× 209 0.7× 145 0.7× 89 0.9× 41 0.6× 14 532
Youngjin Yoo Canada 13 388 1.2× 228 0.8× 203 1.0× 101 1.0× 155 2.3× 30 748
Junyu Chen United States 5 253 0.8× 311 1.1× 139 0.7× 165 1.6× 99 1.5× 6 555
Xiaowei Ding China 5 441 1.4× 364 1.2× 364 1.8× 114 1.1× 87 1.3× 8 825
Mahmut Yurt United States 6 296 1.0× 202 0.7× 112 0.6× 96 1.0× 42 0.6× 17 497
Spiros Kostopoulos Greece 14 306 1.0× 128 0.4× 249 1.3× 115 1.1× 53 0.8× 67 617
Dzhoshkun I. Shakir United Kingdom 9 221 0.7× 160 0.5× 131 0.7× 105 1.1× 60 0.9× 22 532
Bo Zhan China 10 226 0.7× 244 0.8× 167 0.8× 87 0.9× 59 0.9× 16 493
Hasan A. Bedel Türkiye 3 224 0.7× 164 0.6× 108 0.5× 60 0.6× 31 0.5× 3 419
Ender Konukoglu Switzerland 7 182 0.6× 194 0.7× 159 0.8× 38 0.4× 51 0.8× 12 494

Countries citing papers authored by Onat Dalmaz

Since Specialization
Citations

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

Fields of papers citing papers by Onat Dalmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onat Dalmaz

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

All Works

17 of 17 papers shown
1.
Dalmaz, Onat, et al.. (2025). Self-consistent recursive diffusion bridge for medical image translation. Medical Image Analysis. 106. 103747–103747. 6 indexed citations
2.
Dalmaz, Onat, Muzaffer Özbey, Salman Ul Hassan Dar, et al.. (2024). One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. Medical Image Analysis. 94. 103121–103121. 16 indexed citations
3.
Dalmaz, Onat, et al.. (2024). Noise-induced Variability Quantification in Deep Learning-Based MRI Reconstructions. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
4.
Dalmaz, Onat, et al.. (2024). A Personalized Federated Learning Approach for Multi-Contrast MRI Translation. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
5.
Dalmaz, Onat, et al.. (2023). COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. IEEE Journal of Biomedical and Health Informatics. 28(3). 1273–1284. 13 indexed citations
6.
Dalmaz, Onat, et al.. (2023). User Feedback-based Online Learning for Intent Classification. 613–621. 2 indexed citations
7.
Bedel, Hasan A., et al.. (2023). BolT: Fused window transformers for fMRI time series analysis. Medical Image Analysis. 88. 102841–102841. 49 indexed citations
8.
Özbey, Muzaffer, et al.. (2023). Unsupervised Medical Image Translation With Adversarial Diffusion Models. IEEE Transactions on Medical Imaging. 42(12). 3524–3539. 230 indexed citations breakdown →
9.
Dalmaz, Onat, et al.. (2023). Denoising Diffusion Adversarial Models for Unconditional Medical Image Generation. 1–5. 4 indexed citations
10.
Dalmaz, Onat, Mahmut Yurt, & Tolga Çukur. (2022). ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis. IEEE Transactions on Medical Imaging. 41(10). 2598–2614. 303 indexed citations breakdown →
11.
Yurt, Mahmut, Onat Dalmaz, Salman Ul Hassan Dar, et al.. (2022). Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths. IEEE Transactions on Medical Imaging. 41(12). 3895–3906. 24 indexed citations
12.
Dalmaz, Onat, et al.. (2022). Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis. Bilkent University Institutional Repository (Bilkent University). 24. 1–4. 1 indexed citations
13.
Dalmaz, Onat, et al.. (2022). edaGAN: Encoder-Decoder Attention Generative Adversarial Networks for Multi-contrast MR Image Synthesis. Bilkent University Institutional Repository (Bilkent University). 320–324. 1 indexed citations
14.
Dalmaz, Onat, et al.. (2022). Detecting COVID-19 from respiratory sound recordings with transformers. Bilkent University Institutional Repository (Bilkent University). 10–10. 6 indexed citations
15.
Dalmaz, Onat, et al.. (2022). Skip Connections for Medical Image Synthesis with Generative Adversarial Networks. Bilkent University Institutional Repository (Bilkent University). 1–4. 1 indexed citations
16.
Dalmaz, Onat, et al.. (2022). Multi-Contrast MRI Synthesis with Channel-Exchanging-Network. Bilkent University Institutional Repository (Bilkent University). 1–4. 1 indexed citations
17.
Dalmaz, Onat, et al.. (2022). Improving Image Synthesis Quality in Multi-Contrast MRI Using Transfer Learning via Autoencoders. Bilkent University Institutional Repository (Bilkent University). 1 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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