Gelan Ayana

21 papers and 350 indexed citations i.

About

Gelan Ayana is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Gelan Ayana has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in Gelan Ayana’s work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Colorectal Cancer Screening and Detection (3 papers). Gelan Ayana is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Colorectal Cancer Screening and Detection (3 papers). Gelan Ayana collaborates with scholars based in South Korea, Ethiopia and United States. Gelan Ayana's co-authors include Se‐woon Choe, Kokeb Dese, Jin-Woo Jeong, Janarthanan Krishnamoorthy, Timothy Kwa, Tilahun Yemane, Gizeaddis Lamesgin Simegn, Edmund I. Yamba, Dickson Shey Nsagha and Soon‐Do Yoon and has published in prestigious journals such as American Journal Of Pathology, Cancers and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Gelan Ayana i

Fields of papers citing papers by Gelan Ayana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gelan Ayana

Since Specialization
Citations

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