Joanne C. Keselman

About

Joanne C. Keselman is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Joanne C. Keselman has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 10 papers in Statistics and Probability and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Joanne C. Keselman’s work include Optimal Experimental Design Methods (10 papers), Statistical Methods in Clinical Trials (7 papers) and Advanced Statistical Methods and Models (6 papers). Joanne C. Keselman is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Statistical Methods in Clinical Trials (7 papers) and Advanced Statistical Methods and Models (6 papers). Joanne C. Keselman collaborates with scholars based in Canada and United States. Joanne C. Keselman's co-authors include H. J. Keselman, Lisa M. Lix, Carl J. Huberty, Rhonda K. Kowalchuk, Joel R. Levin, Martha D. Petoskey, Stephen Olejnik, Robert A. Cribbie, Juliet Popper Shaffer and Paul A. Games and has published in prestigious journals such as Psychological Bulletin, Statistics in Medicine and Review of Educational Research.

In The Last Decade

Co-authorship network of co-authors of Joanne C. Keselman i

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Fields of papers citing papers by Joanne C. Keselman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne C. Keselman. 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 Joanne C. Keselman. The network helps show where Joanne C. Keselman may publish in the future.

Countries citing papers authored by Joanne C. Keselman

Since Specialization

Citations

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