International Journal of Testing

459 papers and 9.0k indexed citations i.

About

The 459 papers published in International Journal of Testing in the last decades have received a total of 9.0k indexed citations. Papers published in International Journal of Testing usually cover Management Science and Operations Research (208 papers), Education (101 papers) and Experimental and Cognitive Psychology (97 papers) specifically the topics of Measurement Invariance in Structural Equation Modeling (195 papers), Advanced Statistical Modeling Techniques (68 papers) and Cognitive Abilities and Testing (46 papers). The most active scholars publishing in International Journal of Testing are Barbara M. Byrne, Dale G. Shaw, Daniel J. Mundfrom, Fons J. R. van de Vijver, Kadriye Ercikan, Christine E. DeMars, Klaas Sijtsma, Arne Evers, Dave Bartram and Laurie A. Carlson.

In The Last Decade

Fields of papers published in International Journal of Testing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Testing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Journal of Testing.

Countries where authors publish in International Journal of Testing

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Testing. 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 papers published in International Journal of Testing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Testing 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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