Yaman Akbulut
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Abdulkadir ŞengürYanhui GuoÜmit BudakVarun BajajFatih DemirFlorentín SmarandacheOrhan AtılaSami Ekici
- Topics
- Face and Expression Recognition (8 papers)Retinal Imaging and Analysis (7 papers)Machine Learning and ELM (5 papers)
- Journals
- Applied Soft ComputingPhysica A Statistical Mechanics and its ApplicationsIEEE Sensors Journal
- Partner nations
- TürkiyeUnited StatesIndia
In The Last Decade
Yaman Akbulut
31 papers receiving 709 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 208
- Cognitive Neuroscience 153
- Artificial Intelligence 152
- Biomedical Engineering 128
- Radiology, Nuclear Medicine and Imaging 118
Countries citing papers authored by Yaman Akbulut
This map shows the geographic impact of Yaman Akbulut'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 Yaman Akbulut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaman Akbulut more than expected).
Fields of papers citing papers by Yaman Akbulut
This network shows the impact of papers produced by Yaman Akbulut. 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 Yaman Akbulut. The network helps show where Yaman Akbulut may publish in the future.
Co-authorship network of co-authors of Yaman Akbulut
This figure shows the co-authorship network connecting the top 25 collaborators of Yaman Akbulut. A scholar is included among the top collaborators of Yaman Akbulut 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 Yaman Akbulut. Yaman Akbulut 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 | 14 | |
| 3 | 30 | |
| 4 | 117 | |
| 5 | 28 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 1 | |
| 14 | 43 | |
| 15 | 52 | |
| 16 | 11 | |
| 17 | 24 | |
| 18 | 75 | |
| 19 | 1 | |
| 20 | 50 |
About Yaman Akbulut
Yaman Akbulut is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 32 papers that have together received 741 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Retinal Imaging and Analysis (7 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Neurology (86 citations), Computer Vision and Pattern Recognition (208 citations) and Signal Processing (89 citations). Yaman Akbulut has collaborated with scholars based in Türkiye, United States and India. Frequent co-authors include Abdulkadir Şengür, Yanhui Guo, Ümit Budak, Varun Bajaj, Fatih Demir, Florentín Smarandache, Orhan Atıla, Sami Ekici, Burak Taşçı and Zafer Cömert. Their work appears in journals such as Applied Soft Computing, Physica A Statistical Mechanics and its Applications and IEEE Sensors Journal.
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.