Kokeb Dese

14 papers and 240 indexed citations i.

About

Kokeb Dese is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kokeb Dese has authored 14 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kokeb Dese’s work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kokeb Dese is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kokeb Dese collaborates with scholars based in Ethiopia, South Korea and United States. Kokeb Dese's co-authors include Gelan Ayana, Se‐woon Choe, Timothy Kwa, Janarthanan Krishnamoorthy, Gizeaddis Lamesgin Simegn, Tilahun Yemane, B. Mellado, Kingsley Badu, Edmund I. Yamba and Dickson Shey Nsagha and has published in prestigious journals such as Cancers, Artificial Intelligence Review and BMC Pediatrics.

In The Last Decade

Co-authorship network of co-authors of Kokeb Dese i

Fields of papers citing papers by Kokeb Dese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kokeb Dese. 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 Kokeb Dese. The network helps show where Kokeb Dese may publish in the future.

Countries citing papers authored by Kokeb Dese

Since Specialization
Citations

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