Yaman Akbulut

29 papers and 566 indexed citations i.

About

Yaman Akbulut is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Yaman Akbulut has authored 29 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Yaman Akbulut’s work include Face and Expression Recognition (7 papers), Retinal Imaging and Analysis (7 papers) and Machine Learning and ELM (5 papers). Yaman Akbulut is often cited by papers focused on Face and Expression Recognition (7 papers), Retinal Imaging and Analysis (7 papers) and Machine Learning and ELM (5 papers). Yaman Akbulut collaborates with scholars based in Türkiye, United States and India. Yaman Akbulut's co-authors include Abdülkadir Şengür, Yanhui Guo, Ümit Budak, Varun Bajaj, Florentín Smarandache, Fatih Demir, Burak Taşçı, Kemal Polat, Sami Ekici and Zafer Cömert and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Applied Soft Computing and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Yaman Akbulut i

Fields of papers citing papers by Yaman Akbulut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Yaman Akbulut

Since Specialization
Citations

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).

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.

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2025