Nursena Bayğın
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Mehmet BayğınMehmet KaraköseOrhan YamanU. Rajendra AcharyaŞengül DoğanPrabal Datta BaruaTürker TuncerErhan Akın
- Topics
- Product Development and Customization (5 papers)Photovoltaic System Optimization Techniques (4 papers)Blockchain Technology Applications and Security (4 papers)
In The Last Decade
Nursena Bayğın
23 papers receiving 373 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 92
- Artificial Intelligence 89
- Radiology, Nuclear Medicine and Imaging 77
- Electrical and Electronic Engineering 70
- Renewable Energy, Sustainability and the Environment 70
Countries citing papers authored by Nursena Bayğın
This map shows the geographic impact of Nursena Bayğın'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 Nursena Bayğın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nursena Bayğın more than expected).
Fields of papers citing papers by Nursena Bayğın
This network shows the impact of papers produced by Nursena Bayğın. 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 Nursena Bayğın. The network helps show where Nursena Bayğın may publish in the future.
Co-authorship network of co-authors of Nursena Bayğın
This figure shows the co-authorship network connecting the top 25 collaborators of Nursena Bayğın. A scholar is included among the top collaborators of Nursena Bayğın 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 Nursena Bayğın. Nursena Bayğın is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 62 | |
| 8 | 70 | |
| 9 | 22 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 67 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 47 | |
| 20 | 15 |
About Nursena Bayğın
Nursena Bayğın is a scholar working on Management of Technology and Innovation, Computer Vision and Pattern Recognition and Energy Engineering and Power Technology, having authored 24 papers that have together received 389 indexed citations. Recurring topics across this work include Product Development and Customization (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Neurology (65 citations), Health Information Management (25 citations) and Computer Vision and Pattern Recognition (92 citations). Nursena Bayğın has collaborated with scholars based in Türkiye, Australia and Singapore. Frequent co-authors include Mehmet Bayğın, Mehmet Karaköse, Orhan Yaman, U. Rajendra Acharya, Şengül Doğan, Prabal Datta Barua, Türker Tuncer, Erhan Akın, Ru‐San Tan and Elizabeth E. Palmer. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and International Journal of Applied Earth Observation and Geoinformation.
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.