Mark Reiser

26 papers and 1.2k indexed citations i.

About

Mark Reiser is a scholar working on Statistics and Probability, Education and Management Science and Operations Research. According to data from OpenAlex, Mark Reiser has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Education and 6 papers in Management Science and Operations Research. Recurrent topics in Mark Reiser’s work include Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Modeling Techniques (4 papers) and Measurement Invariance in Structural Equation Modeling (4 papers). Mark Reiser is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Modeling Techniques (4 papers) and Measurement Invariance in Structural Equation Modeling (4 papers). Mark Reiser collaborates with scholars based in United States, Italy and Cyprus. Mark Reiser's co-authors include Richard A. Fabes, David P. MacKinnon, Felix Thoemmes, Peter V. Marsden, Ivanna K. Guthrie, Bridget C. Murphy, Sandra H. Losoya, Gary W. Ladd, Stephanie A. Shepard and Nancy Eisenberg and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Child Development and Spine.

In The Last Decade

Co-authorship network of co-authors of Mark Reiser i

Fields of papers citing papers by Mark Reiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Reiser

Since Specialization
Citations

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