Ekaba Bisong

2 papers and 477 indexed citations i.

About

Ekaba Bisong is a scholar working on Molecular Biology, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Ekaba Bisong has authored 2 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Ekaba Bisong’s work include Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Ekaba Bisong is often cited by papers focused on Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Ekaba Bisong collaborates with scholars based in United States. Ekaba Bisong's co-authors include Shweta Bhatt and Thomas Wagner and has published in prestigious journals such as Proceedings of the 17th international conference on Computational linguistics - and Apress eBooks.

In The Last Decade

Co-authorship network of co-authors of Ekaba Bisong i

Fields of papers citing papers by Ekaba Bisong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ekaba Bisong

Since Specialization
Citations

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