Bülent Yener
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Fikret SivrikayaMetin N. GürcanLaura E. BoucheronNasir RajpootAnant MadabhushiAli CanEvrim AcarSeyit Camtepe
- Topics
- Mobile Ad Hoc Networks (16 papers)Cell Image Analysis Techniques (15 papers)AI in cancer detection (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesTürkiyeIsrael
In The Last Decade
Bülent Yener
109 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Artificial Intelligence 2.0k
- Computer Networks and Communications 1.7k
- Computer Vision and Pattern Recognition 1.3k
- Electrical and Electronic Engineering 864
- Radiology, Nuclear Medicine and Imaging 747
Countries citing papers authored by Bülent Yener
This map shows the geographic impact of Bülent Yener'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 Bülent Yener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bülent Yener more than expected).
Fields of papers citing papers by Bülent Yener
This network shows the impact of papers produced by Bülent Yener. 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 Bülent Yener. The network helps show where Bülent Yener may publish in the future.
Co-authorship network of co-authors of Bülent Yener
This figure shows the co-authorship network connecting the top 25 collaborators of Bülent Yener. A scholar is included among the top collaborators of Bülent Yener 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 Bülent Yener. Bülent Yener is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 19 | |
| 7 | Short Paper: Creating Adversarial Malware Examples using Code Insertion. | 3 |
| 8 | Learning filter widths of spectral decompositions with wavelets | 12 |
| 9 | Predicting Math Performance from Raw Large-Scale Educational Assessments Data : A Machine Learning Approach | 14 |
| 10 | 13 | |
| 11 | 80 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 27 | |
| 17 | 24 | |
| 18 | Computational analysis of epileptic focus localization | 14 |
| 19 | 45 | |
| 20 | Provisioning a virtual private network | 3 |
About Bülent Yener
Bülent Yener is a scholar working on Computational Mathematics, Biophysics and Computer Networks and Communications, having authored 115 papers that have together received 5.7k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (16 papers), Cell Image Analysis Techniques (15 papers) and AI in cancer detection (14 papers). The work is most often cited by research in Computational Mathematics (346 citations), Biophysics (492 citations) and Computer Networks and Communications (1.7k citations). Bülent Yener has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include Fikret Sivrikaya, Metin N. Gürcan, Laura E. Boucheron, Nasir Rajpoot, Anant Madabhushi, Ali Can, Evrim Acar, Seyit Camtepe, Aggelos Kiayias and Amit Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.