Samet Oymak

48 papers and 950 indexed citations i.

About

Samet Oymak is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samet Oymak has authored 48 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Computational Mechanics and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samet Oymak’s work include Sparse and Compressive Sensing Techniques (19 papers), Stochastic Gradient Optimization Techniques (6 papers) and Statistical Methods and Inference (6 papers). Samet Oymak is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Stochastic Gradient Optimization Techniques (6 papers) and Statistical Methods and Inference (6 papers). Samet Oymak collaborates with scholars based in United States, Türkiye and Israel. Samet Oymak's co-authors include Babak Hassibi, Kishore Jaganathan, Mahdi Soltanolkotabi, Necmiye Özay, Maryam Fazel, Christos Thrampoulidis, Amin Jalali, Yonina C. Eldar, Joel A. Tropp and Amit K. Roy–Chowdhury and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Samet Oymak i

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.

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).

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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