William J. Teahan

34 papers and 281 indexed citations i.

About

William J. Teahan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, William J. Teahan has authored 34 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in William J. Teahan’s work include Algorithms and Data Compression (12 papers), Natural Language Processing Techniques (9 papers) and Handwritten Text Recognition Techniques (7 papers). William J. Teahan is often cited by papers focused on Algorithms and Data Compression (12 papers), Natural Language Processing Techniques (9 papers) and Handwritten Text Recognition Techniques (7 papers). William J. Teahan collaborates with scholars based in United Kingdom, Saudi Arabia and New Zealand. William J. Teahan's co-authors include Yingying Wen, Ian H. Witten, Rodger J. McNab, Jeff Kettle, Tudur Wyn David, T. Jesper Jacobsson, John G. Cleary, Christopher J. Headleand, Serban R. Pop and Priyanka Tyagi and has published in prestigious journals such as Nano Energy, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of William J. Teahan i

Fields of papers citing papers by William J. Teahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Teahan. 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 William J. Teahan. The network helps show where William J. Teahan may publish in the future.

Countries citing papers authored by William J. Teahan

Since Specialization
Citations

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