Serestina Viriri
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 5%
- Neurology top 5%
- Co-authors
- Adekanmi Adeyinka AdegunJules‐Raymond TapamoAbsalom E. EzugwuTemitope MapayiOlawale J. AdelekeAndronicus A. AkinyeluMuhammad Haroon YousafChukwuka G. Monyei
- Topics
- Face recognition and analysis (30 papers)Face and Expression Recognition (26 papers)AI in cancer detection (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- South AfricaSudanUnited Kingdom
In The Last Decade
Serestina Viriri
121 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 802
- Computer Vision and Pattern Recognition 787
- Radiology, Nuclear Medicine and Imaging 507
- Oncology 480
- Neurology 207
Countries citing papers authored by Serestina Viriri
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).
Fields of papers citing papers by Serestina Viriri
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.
Co-authorship network of co-authors of Serestina Viriri
This figure shows the co-authorship network connecting the top 25 collaborators of Serestina Viriri. A scholar is included among the top collaborators of Serestina Viriri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Serestina Viriri. Serestina Viriri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 86 | |
| 13 | 0 | |
| 14 | 17 | |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 21 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 11 |
About Serestina Viriri
Serestina Viriri is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 133 papers that have together received 2.3k indexed citations. Recurring topics across this work include Face recognition and analysis (30 papers), Face and Expression Recognition (26 papers) and AI in cancer detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (787 citations), Artificial Intelligence (802 citations) and Neurology (207 citations). Serestina Viriri has collaborated with scholars based in South Africa, Sudan and United Kingdom. Frequent co-authors include Adekanmi Adeyinka Adegun, Jules‐Raymond Tapamo, Absalom E. Ezugwu, Temitope Mapayi, Olawale J. Adeleke, Andronicus A. Akinyelu, Muhammad Haroon Yousaf, Chukwuka G. Monyei, Sergio A. Velastín and Roseline Oluwaseun Ogundokun. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.