N. Denizcan Vanli
- Computational Mechanics top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Süleyman S. KozatMuhammed O. SayinBerkan DülekSinan GeziciTamer BaşarHüseyin ÖzkanPramod K. VarshneyAsuman Ozdaglar
- Topics
- Advanced Adaptive Filtering Techniques (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Blind Source Separation Techniques (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingPattern RecognitionIEEE Transactions on Wireless Communications
- Partner nations
- TürkiyeUnited States
In The Last Decade
N. Denizcan Vanli
21 papers receiving 276 citations
Peers
Comparison fields: 5 of 50
- Computational Mechanics 137
- Signal Processing 110
- Electrical and Electronic Engineering 69
- Computer Networks and Communications 66
- Artificial Intelligence 66
Countries citing papers authored by N. Denizcan Vanli
This map shows the geographic impact of N. Denizcan Vanli'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 N. Denizcan Vanli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Denizcan Vanli more than expected).
Fields of papers citing papers by N. Denizcan Vanli
This network shows the impact of papers produced by N. Denizcan Vanli. 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 N. Denizcan Vanli. The network helps show where N. Denizcan Vanli may publish in the future.
Co-authorship network of co-authors of N. Denizcan Vanli
This figure shows the co-authorship network connecting the top 25 collaborators of N. Denizcan Vanli. A scholar is included among the top collaborators of N. Denizcan Vanli 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 N. Denizcan Vanli. N. Denizcan Vanli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent | 4 |
| 3 | 33 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 133 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | A Comprehensive Approach to Universal Nonlinear Regression Based on Trees. | 1 |
| 19 | 11 | |
| 20 | 30 |
About N. Denizcan Vanli
N. Denizcan Vanli is a scholar working on Computational Mechanics, Signal Processing and Numerical Analysis, having authored 21 papers that have together received 279 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Signal Processing (110 citations), Computational Mechanics (137 citations) and Computer Networks and Communications (66 citations). N. Denizcan Vanli has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Süleyman S. Kozat, Muhammed O. Sayin, Berkan Dülek, Sinan Gezici, Tamer Başar, Hüseyin Özkan, Pramod K. Varshney, Asuman Ozdaglar, Mert Gürbüzbalaban and Pablo A. Parrilo. Their work appears in journals such as IEEE Transactions on Signal Processing, Pattern Recognition and IEEE Transactions on Wireless Communications.
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.