Müjdat Çetin

9.2k citations

200 papers · 6.5k indexed · 2 hit papers · h-index 32

Impact in

Signal Processing top 0.2%
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Blind Source Separation Techniques
Computational Mechanics top 0.2%
- Sparse and Compressive Sensing Techniques

Papers in

Computational Mechanics 57
- Sparse and Compressive Sensing Techniques 56
Aerospace Engineering 68
- Advanced SAR Imaging Techniques 61
- Synthetic Aperture Radar (SAR) Applications and Techniques 44

Co-authors: Alan S. Willsky Dmitry Malioutov W.C. Karl Lee C. Potter Jason T. Parker Emre Ertin John W. Fisher Sadegh Samadi
Journals: IEEE Transactions on Image Processing (7 papers)IEEE Transactions on Computational Imaging (7 papers)Journal of Neural Engineering (4 papers)IEEE Signal Processing Magazine (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (3 papers)
Partner nations: Türkiye United States Portugal

In The Last Decade

Müjdat Çetin

190 papers receiving 6.2k citations

Hit Papers

align trajectories log scale

Sparsity and Compressed Sensing in Radar Imaging 2010 · 514 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Proceedings of the IEEE
2005 IEEE Transactions on Signal Processing

Peers

Countries citing papers authored by Müjdat Çetin

Since Specialization

Citations

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

Fields of papers citing papers by Müjdat Çetin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Müjdat Çetin, 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 Müjdat Çetin Line = papers co-authored together Müjdat Çetin links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning Biomedical Optics Express ·Eduardo Martínez-Enríquez, Rob van Acht, Idowu Opeoluwa Aluko, Changjing Wu, S Kishore, Isabella Shepherd-Evans, Suet-Pin Fan, Pravin K. Vaddavalli, Yue Zhao, Rosetta G Rowbottom, Wibia Widowati, Uğur Çelik, Müjdat Çetin, Jiancheng Dong, Yong Gyu Lim, Li Wang, Douglas D. Koch, Scott MacRae, Susana Marcos	2025	1
2	The Foundations of Computational Imaging: A signal processing perspective IEEE Signal Processing Magazine ·W.C. Karl, James E. Fowler, Charles A. Bouman, Müjdat Çetin, Brendt Wohlberg, Jong Chul Ye	2023	5
3	An interactive time series image analysis software for dendritic spines Scientific Reports ·姚高翔, Ertunç Erdil, Ikbal La Seni, Loida J. R. Beniga, C. van. Dyck, Theofanis Karayannis, Müjdat Çetin, Inbal Israely, Devrim Ünay	2022	12
4	EEG-Based Emotion Classification Using Graph Signal Processing David Meyr, Gonzalo Mateos, Müjdat Çetin	2021	14
5	Context-Aware Confidence Sets for Fine-Grained Product Recognition IEEE Access ·N. K. Chernushevich, Erdem Yörük, Müjdat Çetin	2019	8
6	Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning Ozan Özdenizci, A.G. Winstock, Ahmetcan Erdoğan, Volkan Patoğlu, Moritz Grosse‐Wentrup, Müjdat Çetin	2017	1
7	SAR imaging of moving targets by subaperture based low-rank and sparse decomposition O. Holfelder, Müjdat Çetin, Ahmed Shaharyar Khwaja	2017	7
8	Dendritic spine classification using shape and appearance features based on two-photon microscopy Journal of Neuroscience Methods ·Ikbal La Seni, B. G. Teggart, Andrew L. Beke, 姚高翔, C. van. Dyck, Inbal Israely, Devrim Ünay, Tolga Taşdizen, Müjdat Çetin	2016	31
9	Asynchronous decoding of finger movements from ECoG signals using long-range dependencies conditional random fields Journal of Neural Engineering ·Dalibor Franćeski, Adriana de Pesters, Müjdat Çetin	2016	14
10	Word-level language modeling for P300 spellers based on discriminative graphical models Journal of Neural Engineering ·Dalibor Franćeski, Adriana de Pesters, Dennis J. McFarland, Müjdat Çetin	2015	7
11	Feature preserving sar despeckling and its parallel implementation with application to railway detection 浅尾正之, Baojing Huang, Kim Joong-Il, Müjdat Çetin	2012	7
12	Handling phase in sparse reconstruction for SAR: Imaging, autofocusing, and moving targets Müjdat Çetin, KAMILLE R. DEAN, Vijayakumar Prathi	2012	9
13	A latent discriminative model-based approach for classification of imaginary motor tasks from EEG data Journal of Neural Engineering ·Dalibor Franćeski, Müjdat Çetin	2012	35
14	Multiple Feature-Enhanced SAR Imaging Using Sparsity in Combined Dictionaries IEEE Geoscience and Remote Sensing Letters ·Sadegh Samadi, Müjdat Çetin, 丫头	2012	31
15	Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009 Sabanci University ·Devrim Ünay, Octavian Soldea, Tawfig Yousef. Danish, Müjdat Çetin, Aytül Erçi̇l	2009	5
16	Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects IEEE Transactions on Image Processing ·Henry Parry Liddon, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky	2008	10
17	Synthetic Aperture Radar Imaging from Wide-Angle Data with Frequency-Band Omissions Müjdat Çetin, Randolph L. Moses	2006	2
18	Data association based on optimization in graphical models with application to sensor networks Mathematical and Computer Modelling ·Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky	2006	46
19	Region-enhanced passive radar imaging IEE Proceedings - Radar Sonar and Navigation ·Müjdat Çetin, Aaron D. Lanterman	2005	29
20	Source localization by enforcing sparsity through a Laplacian prior: an SVD-based approach Dmitry Malioutov, Müjdat Çetin, Alan S. Willsky	2003	26

About Müjdat Çetin

Müjdat Çetin is a scholar working on Computational Mechanics, Aerospace Engineering, Computer Vision and Pattern Recognition, Biophysics and Human-Computer Interaction, having authored 200 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (61 papers), Sparse and Compressive Sensing Techniques (56 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (44 papers), EEG and Brain-Computer Interfaces (36 papers), Medical Image Segmentation Techniques (32 papers), Microwave Imaging and Scattering Analysis (29 papers), Image Retrieval and Classification Techniques (16 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computational Mechanics (2.7k citations), Aerospace Engineering (2.4k citations), Computer Vision and Pattern Recognition (1.2k citations) and Biomedical Engineering (1.8k citations). Müjdat Çetin has collaborated with scholars based in Türkiye, United States and Portugal. Frequent co-authors include Alan S. Willsky, Dmitry Malioutov, W.C. Karl, Lee C. Potter, Jason T. Parker, Emre Ertin, John W. Fisher, Sadegh Samadi, Randolph L. Moses and Kush R. Varshney. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Computational Imaging, Journal of Neural Engineering, IEEE Signal Processing Magazine and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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