J. Praagman is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research.
According to data from OpenAlex, J. Praagman has authored 14 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Finance, 3 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. Recurrent topics in J. Praagman's work include Statistical Methods and Inference (3 papers), Financial Risk and Volatility Modeling (3 papers) and Stochastic processes and financial applications (2 papers). J. Praagman is often cited by papers focused on Statistical Methods and Inference (3 papers), Financial Risk and Volatility Modeling (3 papers) and Stochastic processes and financial applications (2 papers). J. Praagman collaborates with scholars based in Netherlands and Belgium. J. Praagman's co-authors include Walter Kickert and Luc Soenen and has published in prestigious journals such as European Journal of Operational Research, The Annals of Statistics and Ergonomics.
In The Last Decade
J. Praagman
13 papers
receiving
7.9k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Classification and regression trees
19858.0k citationsJ. PraagmanEuropean Journal of Operational Researchprofile →
This map shows the geographic impact of J. Praagman'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. Praagman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Praagman more than expected).
This network shows the impact of papers produced by J. Praagman. 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. Praagman. The network helps show where J. Praagman may publish in the future.
Co-authorship network of co-authors of J. Praagman
This figure shows the co-authorship network connecting the top 25 collaborators of J. Praagman.
A scholar is included among the top collaborators of J. Praagman based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with J. Praagman. J. Praagman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.