Greet Pison

11 papers and 574 indexed citations i.

About

Greet Pison is a scholar working on Statistics and Probability, Clinical Psychology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Greet Pison has authored 11 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 2 papers in Clinical Psychology and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Greet Pison’s work include Advanced Statistical Methods and Models (5 papers), Advanced Statistical Process Monitoring (2 papers) and Child Abuse and Trauma (2 papers). Greet Pison is often cited by papers focused on Advanced Statistical Methods and Models (5 papers), Advanced Statistical Process Monitoring (2 papers) and Child Abuse and Trauma (2 papers). Greet Pison collaborates with scholars based in Belgium, Italy and United States. Greet Pison's co-authors include Peter J. Rousseeuw, Stefan Van Aelst, Anja Struyf, Gert Willems, Peter Filzmoser, Christophe Croux, Mia Hubert, Aleksandar Janča, Jacques Mylle and Laure Delmeire and has published in prestigious journals such as Psychiatry Research, Computational Statistics & Data Analysis and Marine Environmental Research.

In The Last Decade

Co-authorship network of co-authors of Greet Pison i

Fields of papers citing papers by Greet Pison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Greet Pison

Since Specialization
Citations

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