John Yearwood

306 total papers · 5.8k total citations
158 papers, 3.1k citations indexed

About

John Yearwood is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Yearwood has authored 158 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 28 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Yearwood’s work include Topic Modeling (13 papers), Semantic Web and Ontologies (11 papers) and Natural Language Processing Techniques (10 papers). John Yearwood is often cited by papers focused on Topic Modeling (13 papers), Semantic Web and Ontologies (11 papers) and Natural Language Processing Techniques (10 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, Andrew Stranieri, Dinh Phung, Michael Berk and Truyen Tran 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

This figure shows the co-authorship network connecting the top 25 collaborators of John Yearwood. A scholar is included among the top collaborators of John Yearwood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Yearwood. John Yearwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

John Yearwood

149 papers receiving 3.0k citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026