Mark J. Gierl

93 papers and 2.8k indexed citations i.

About

Mark J. Gierl is a scholar working on Management Science and Operations Research, Artificial Intelligence and Education. According to data from OpenAlex, Mark J. Gierl has authored 93 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management Science and Operations Research, 33 papers in Artificial Intelligence and 26 papers in Education. Recurrent topics in Mark J. Gierl’s work include Measurement Invariance in Structural Equation Modeling (35 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Advanced Statistical Modeling Techniques (14 papers). Mark J. Gierl is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (35 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Advanced Statistical Modeling Techniques (14 papers). Mark J. Gierl collaborates with scholars based in Canada, United States and Qatar. Mark J. Gierl's co-authors include Jacqueline P. Leighton, Michael G. Jodoin, Hollis Lai, S. Hunka, Jeffrey Bisanz, Ying Cui, Qi Guo, Terry A. Ackerman, Thomas M. Haladyna and Okan Bulut and has published in prestigious journals such as Review of Educational Research, Frontiers in Psychology and Medical Education.

In The Last Decade

Co-authorship network of co-authors of Mark J. Gierl i

Fields of papers citing papers by Mark J. Gierl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Gierl. 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 Mark J. Gierl. The network helps show where Mark J. Gierl may publish in the future.

Countries citing papers authored by Mark J. Gierl

Since Specialization
Citations

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