Christopher Ifeanyi Eke

18 papers and 537 indexed citations i.

About

Christopher Ifeanyi Eke is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Christopher Ifeanyi Eke has authored 18 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Christopher Ifeanyi Eke’s work include Text and Document Classification Technologies (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (3 papers). Christopher Ifeanyi Eke is often cited by papers focused on Text and Document Classification Technologies (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (3 papers). Christopher Ifeanyi Eke collaborates with scholars based in Nigeria, Malaysia and Zambia. Christopher Ifeanyi Eke's co-authors include Liyana Shuib, Azah Anir Norman, Absalom E. Ezugwu, Laith Abualigah, Andronicus A. Akinyelu, Jeffrey O. Agushaka, Abiodun M. Ikotun, Henry Friday Nweke, Aaron Zimba and Abdullah Gani and has published in prestigious journals such as PLoS ONE, Solar Energy and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Christopher Ifeanyi Eke i

Fields of papers citing papers by Christopher Ifeanyi Eke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Ifeanyi Eke. 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 Christopher Ifeanyi Eke. The network helps show where Christopher Ifeanyi Eke may publish in the future.

Countries citing papers authored by Christopher Ifeanyi Eke

Since Specialization
Citations

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