Mark G. Kelly

4 papers and 78 indexed citations i.

About

Mark G. Kelly is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Mark G. Kelly has authored 4 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Information Systems. Recurrent topics in Mark G. Kelly’s work include Data Mining Algorithms and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Mark G. Kelly is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Imbalanced Data Classification Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Mark G. Kelly collaborates with scholars based in United Kingdom and Australia. Mark G. Kelly's co-authors include Niall M. Adams and David J. Hand and has published in prestigious journals such as Statistical Science, IMA Journal of Management Mathematics and Foucault Studies.

In The Last Decade

Co-authorship network of co-authors of Mark G. Kelly i

Fields of papers citing papers by Mark G. Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Kelly. 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 Mark G. Kelly. The network helps show where Mark G. Kelly may publish in the future.

Countries citing papers authored by Mark G. Kelly

Since Specialization
Citations

This map shows the geographic impact of Mark G. Kelly'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 Mark G. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Kelly 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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2025