Happy Nkanta Monday

36 papers and 385 indexed citations i.

About

Happy Nkanta Monday is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Happy Nkanta Monday has authored 36 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Happy Nkanta Monday’s work include AI in cancer detection (13 papers), COVID-19 diagnosis using AI (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Happy Nkanta Monday is often cited by papers focused on AI in cancer detection (13 papers), COVID-19 diagnosis using AI (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Happy Nkanta Monday collaborates with scholars based in China, United States and Nigeria. Happy Nkanta Monday's co-authors include Grace Ugochi Nneji, Chiagoziem C. Ukwuoma, Md Belal Bin Heyat, Md Altab Hossin, Jianhua Deng, Saifun Nahar, Jingye Cai, Liaqat Ali, Zahra Almaspoor and Chukwuebuka Joseph Ejiyi and has published in prestigious journals such as Renewable Energy, BioFactors and Network Computation in Neural Systems.

In The Last Decade

Co-authorship network of co-authors of Happy Nkanta Monday i

Fields of papers citing papers by Happy Nkanta Monday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Happy Nkanta Monday. 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 Happy Nkanta Monday. The network helps show where Happy Nkanta Monday may publish in the future.

Countries citing papers authored by Happy Nkanta Monday

Since Specialization
Citations

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