John Yearwood

137 papers and 2.9k indexed citations i.

About

John Yearwood is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, John Yearwood has authored 137 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in John Yearwood’s work include Face and Expression Recognition (13 papers), Topic Modeling (10 papers) and Network Security and Intrusion Detection (8 papers). John Yearwood is often cited by papers focused on Face and Expression Recognition (13 papers), Topic Modeling (10 papers) and Network Security and Intrusion Detection (8 papers). John Yearwood collaborates with scholars based in Australia, China and Saudi Arabia. John Yearwood's co-authors include Shamsul Huda, Chandan Karmakar, Adil Bagirov, Svetha Venkatesh, Andrei Kelarev, Jemal Abawajy, Michael Berk, Dinh Phung, Truyen Tran and Tu Bao Ho and has published in prestigious journals such as Bioinformatics, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of John Yearwood i

Fields of papers citing papers by John Yearwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Yearwood

Since Specialization
Citations

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