Bob Coyne

10 papers and 56 indexed citations i.

About

Bob Coyne is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Bob Coyne has authored 10 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Bob Coyne’s work include Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (4 papers) and Topic Modeling (3 papers). Bob Coyne is often cited by papers focused on Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (4 papers) and Topic Modeling (3 papers). Bob Coyne collaborates with scholars based in United States and United Kingdom. Bob Coyne's co-authors include Owen Rambow, Masoud Rouhizadeh, Richard Sproat, T. W. Raudorf, Rex C. Trammell, Thomas J. Paulus, Julia Hirschberg and Anusha Balakrishnan and has published in prestigious journals such as IEEE Transactions on Nuclear Science, International Journal of Paediatric Dentistry and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Bob Coyne i

Fields of papers citing papers by Bob Coyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bob Coyne

Since Specialization
Citations

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