Serestina Viriri

89 papers and 1.4k indexed citations i.

About

Serestina Viriri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Serestina Viriri has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Serestina Viriri’s work include Face recognition and analysis (13 papers), AI in cancer detection (12 papers) and Face and Expression Recognition (11 papers). Serestina Viriri is often cited by papers focused on Face recognition and analysis (13 papers), AI in cancer detection (12 papers) and Face and Expression Recognition (11 papers). Serestina Viriri collaborates with scholars based in South Africa, United Kingdom and Pakistan. Serestina Viriri's co-authors include Adekanmi Adeyinka Adegun, Jules‐Raymond Tapamo, Absalom E. Ezugwu, Temitope Mapayi, Andronicus A. Akinyelu, Muhammad Haroon Yousaf, Chukwuka G. Monyei, Kirsten Jenkins, Sergio A. Velastín and Benjamin K. Sovacool and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy Policy.

In The Last Decade

Co-authorship network of co-authors of Serestina Viriri i

Fields of papers citing papers by Serestina Viriri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Serestina Viriri

Since Specialization
Citations

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