Paul Mc Kevitt

39 papers and 1.1k indexed citations i.

About

Paul Mc Kevitt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Paul Mc Kevitt has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Paul Mc Kevitt’s work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Video Analysis and Summarization (6 papers) and Speech and dialogue systems (5 papers). Paul Mc Kevitt is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Video Analysis and Summarization (6 papers) and Speech and dialogue systems (5 papers). Paul Mc Kevitt collaborates with scholars based in United Kingdom, Germany and Ireland. Paul Mc Kevitt's co-authors include Kevin Curran, Joan Condell, Abbas Cheddad, Matthias Hemmje, Tom Lunney, Minhua Ma, Luis Neri, Julieta Noguez, Haiying Wang and Thomas Krause and has published in prestigious journals such as Signal Processing, International Journal of Human-Computer Studies and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Paul Mc Kevitt i

Fields of papers citing papers by Paul Mc Kevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Mc Kevitt. 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 Paul Mc Kevitt. The network helps show where Paul Mc Kevitt may publish in the future.

Countries citing papers authored by Paul Mc Kevitt

Since Specialization
Citations

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