Samet Oymak

52 papers receiving 728 citations

Peers

Samet Oymak
Comparison fields: 5 of 72
  • Computational Mathematics 20
  • Structural Biology 42
  • Radiation 155
  • Computational Mechanics 313
  • Signal Processing 112
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Afonso S. Bandeira United States
Nicolas Boumal United States
Mark Iwen United States
Yaniv Romano Israel
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Matthew Fickus United States
Mahdi Soltanolkotabi United States
Ke Wei China
Luca Zanni Italy
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Citations per year

Countries citing papers authored by Samet Oymak

Since Specialization
Citations

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

Fields of papers citing papers by Samet Oymak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 202067
3
Regularized Linear Regression: A Precise Analysis of the Estimation Error
201559
4 201259
5 201354
6
A Simplified Approach to Recovery Conditions for \nLow Rank Matrices
201148
7 201745
8 201527
9 202125
10 202022
11
Graph Clustering With Missing Data: Convex Algorithms and Analysis
201416
12 201214
13 201212
14 201411
15 201211
16 202110
17 20229
18
Parallel correlation clustering on big graphs
20159
19 20148
20 20198

About Samet Oymak

Samet Oymak is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing and Control and Systems Engineering, having authored 61 papers that have together received 753 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (20 papers), Blind Source Separation Techniques (8 papers), Image and Signal Denoising Methods (7 papers), Control Systems and Identification (6 papers), Statistical Methods and Inference (5 papers), Stochastic Gradient Optimization Techniques (5 papers), Machine Learning and Algorithms (5 papers) and Advanced Bandit Algorithms Research (5 papers). The work is most often cited by research in Computational Mathematics (20 citations), Structural Biology (42 citations), Radiation (155 citations), Computational Mechanics (313 citations) and Signal Processing (112 citations). Samet Oymak has collaborated with scholars based in United States, Türkiye and Hong Kong. Frequent co-authors include Babak Hassibi, Kishore Jaganathan, Maryam Fazel, Mahdi Soltanolkotabi, Amin Jalali, Yonina C. Eldar, Christos Thrampoulidis, Necmiye Özay, Karthik Mohan and Jiasi Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Control Systems Letters, Information and Inference A Journal of the IMA, IEEE Transactions on Information Theory and IEEE Transactions on Automatic Control.

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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