Freda Kemp

14 papers and 10.4k indexed citations i.

About

Freda Kemp is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, Freda Kemp has authored 14 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Education. Recurrent topics in Freda Kemp’s work include Advanced Statistical Methods and Models (3 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Freda Kemp is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Freda Kemp collaborates with scholars based in United Kingdom and United States. Freda Kemp's co-authors include Margaret McDonald and L. Thomas and has published in prestigious journals such as Nurse Education Today and Journal of the Royal Statistical Society Series D (The Statistician).

In The Last Decade

Co-authorship network of co-authors of Freda Kemp i

Fields of papers citing papers by Freda Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Freda Kemp

Since Specialization
Citations

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