Edna C. Too

About

Edna C. Too is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Edna C. Too has authored 7 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Edna C. Too’s work include Smart Agriculture and AI (4 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and ELM (2 papers). Edna C. Too is often cited by papers focused on Smart Agriculture and AI (4 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and ELM (2 papers). Edna C. Too collaborates with scholars based in Kenya and China. Edna C. Too's co-authors include Yujian Li, Yingchun Liu, Benson Kipkemboi Kenduiywo and Pius Kwao Gadosey and has published in prestigious journals such as Computers and Electronics in Agriculture, Journal of Intelligent & Fuzzy Systems and Data in Brief.

In The Last Decade

Co-authorship network of co-authors of Edna C. Too i

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Fields of papers citing papers by Edna C. Too

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edna C. Too. 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 Edna C. Too. The network helps show where Edna C. Too may publish in the future.

Countries citing papers authored by Edna C. Too

Since Specialization

Citations

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