J. Kay

About

J. Kay is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, J. Kay has authored 2 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Industrial relations. Recurrent topics in J. Kay’s work include Data Mining Algorithms and Applications (1 paper), Imbalanced Data Classification Techniques (1 paper) and Machine Learning and Data Classification (1 paper). J. Kay is often cited by papers focused on Data Mining Algorithms and Applications (1 paper), Imbalanced Data Classification Techniques (1 paper) and Machine Learning and Data Classification (1 paper). J. Kay collaborates with scholars based in Italy. J. Kay's co-authors include Giovanni Semeraro, Donato Malerba, Floriana Esposito and A. Jameson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IRAL - International Review of Applied Linguistics in Language Teaching.

In The Last Decade

Co-authorship network of co-authors of J. Kay i

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Fields of papers citing papers by J. Kay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. Kay

Since Specialization

Citations

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