Michael J. Klass

59 papers and 1.8k indexed citations i.

About

Michael J. Klass is a scholar working on Management Science and Operations Research, Statistics and Probability and Finance. According to data from OpenAlex, Michael J. Klass has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 17 papers in Statistics and Probability and 16 papers in Finance. Recurrent topics in Michael J. Klass’s work include Probability and Risk Models (21 papers), Stochastic processes and statistical mechanics (13 papers) and Mathematical Approximation and Integration (12 papers). Michael J. Klass is often cited by papers focused on Probability and Risk Models (21 papers), Stochastic processes and statistical mechanics (13 papers) and Mathematical Approximation and Integration (12 papers). Michael J. Klass collaborates with scholars based in United States, Sweden and Israel. Michael J. Klass's co-authors include Mark B. Garman, Thomas S. Ferguson, Marjorie G. Hahn, David Assaf, Michael Taksar, Henry Teicher, Krzysztof Nowicki, Víctor Peña, Tze Leung Lai and Lawrence E. Myers and has published in prestigious journals such as The Journal of Business, The Annals of Probability and Pacific Journal of Mathematics.

In The Last Decade

Co-authorship network of co-authors of Michael J. Klass i

Fields of papers citing papers by Michael J. Klass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael J. Klass

Since Specialization
Citations

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