Taye Girma Debelee

28 papers and 652 indexed citations i.

About

Taye Girma Debelee is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taye Girma Debelee has authored 28 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Taye Girma Debelee’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Brain Tumor Detection and Classification (4 papers). Taye Girma Debelee is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Brain Tumor Detection and Classification (4 papers). Taye Girma Debelee collaborates with scholars based in Ethiopia, Germany and Iraq. Taye Girma Debelee's co-authors include Friedhelm Schwenker, Achim Ibenthal, Mohammadreza Amirian and Ayad M. Fadhil Al‐Quraishi and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Taye Girma Debelee i

Fields of papers citing papers by Taye Girma Debelee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taye Girma Debelee. 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 Taye Girma Debelee. The network helps show where Taye Girma Debelee may publish in the future.

Countries citing papers authored by Taye Girma Debelee

Since Specialization
Citations

This map shows the geographic impact of Taye Girma Debelee'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 Taye Girma Debelee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taye Girma Debelee 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