John Tait

37 papers and 344 indexed citations i.

About

John Tait is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Tait has authored 37 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Tait’s work include Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers) and Image Retrieval and Classification Techniques (8 papers). John Tait is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers) and Image Retrieval and Classification Techniques (8 papers). John Tait collaborates with scholars based in United Kingdom, Austria and United States. John Tait's co-authors include Karen Spärck Jones, Mihai Lupu, Anthony J. Trippe, Katja Mayer, Jimmy Xiangji Huang, Darren Pearce, John Carroll, Jianhan Zhu, Guido Minnen and Chih‐Fong Tsai and has published in prestigious journals such as Neurocomputing, Information Processing & Management and Lecture notes in computer science.

In The Last Decade

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

Fields of papers citing papers by John Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Tait

Since Specialization
Citations

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