Richard Kirkby

About

Richard Kirkby is a scholar working on Artificial Intelligence, Signal Processing and Plant Science. According to data from OpenAlex, Richard Kirkby has authored 3 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Plant Science. Recurrent topics in Richard Kirkby’s work include Time Series Analysis and Forecasting (2 papers), Adaptation to Concept Drift in Data Streams (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). Richard Kirkby is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Adaptation to Concept Drift in Data Streams (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). Richard Kirkby collaborates with scholars based in New Zealand and Spain. Richard Kirkby's co-authors include Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà and A.D. Mowat and has published in prestigious journals such as Journal of Machine Learning Research, Acta Horticulturae and Research Commons (The University of Waikato).

In The Last Decade

Co-authorship network of co-authors of Richard Kirkby i

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Fields of papers citing papers by Richard Kirkby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Richard Kirkby

Since Specialization

Citations

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