Mert Pilancı
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Computer Vision and Pattern Recognition top 10%
- Numerical Analysis top 10%
- Co-authors
- Martin J. WainwrightYun YangLaurent El GhaouiOrhan ArıkanVenkat ChandrasekaranMustafa Ç. Pı̆narAlfred O. HeroBoris Murmann
- Topics
- Sparse and Compressive Sensing Techniques (25 papers)Stochastic Gradient Optimization Techniques (19 papers)Statistical and numerical algorithms (4 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingMagnetic Resonance in Medicine
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Mert Pilancı
38 papers receiving 352 citations
Peers
Comparison fields: 5 of 81
- Computational Mechanics 188
- Artificial Intelligence 186
- Statistics and Probability 71
- Computer Vision and Pattern Recognition 59
- Numerical Analysis 49
Countries citing papers authored by Mert Pilancı
This map shows the geographic impact of Mert Pilancı'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 Mert Pilancı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mert Pilancı more than expected).
Fields of papers citing papers by Mert Pilancı
This network shows the impact of papers produced by Mert Pilancı. 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 Mert Pilancı. The network helps show where Mert Pilancı may publish in the future.
Co-authorship network of co-authors of Mert Pilancı
This figure shows the co-authorship network connecting the top 25 collaborators of Mert Pilancı. A scholar is included among the top collaborators of Mert Pilancı 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 Mert Pilancı. Mert Pilancı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform | 5 |
| 13 | 1 | |
| 14 | Polar Coded Distributed Matrix Multiplication. | 4 |
| 15 | 4 | |
| 16 | Iterative hessian sketch: fast and accurate solution approximation for constrained least-squares | 56 |
| 17 | 29 | |
| 18 | Recovery of Sparse Probability Measures via Convex Programming | 25 |
| 19 | 1 | |
| 20 | 1 |
About Mert Pilancı
Mert Pilancı is a scholar working on Computational Mechanics, Artificial Intelligence and Applied Mathematics, having authored 47 papers that have together received 368 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Stochastic Gradient Optimization Techniques (19 papers) and Statistical and numerical algorithms (4 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computational Mechanics (188 citations) and Numerical Analysis (49 citations). Mert Pilancı has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Martin J. Wainwright, Yun Yang, Laurent El Ghaoui, Orhan Arıkan, Venkat Chandrasekaran, Mustafa Ç. Pı̆nar, Alfred O. Hero, Boris Murmann, Hessam Mahdavifar and Tolga Ergen. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Magnetic Resonance in Medicine.
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.