Michael W. Totaro

About

Michael W. Totaro is a scholar working on Computer Vision and Pattern Recognition, Education and Artificial Intelligence. According to data from OpenAlex, Michael W. Totaro has authored 27 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in Michael W. Totaro’s work include Management and Marketing Education (4 papers), Online and Blended Learning (4 papers) and Online Learning and Analytics (4 papers). Michael W. Totaro is often cited by papers focused on Management and Marketing Education (4 papers), Online and Blended Learning (4 papers) and Online Learning and Analytics (4 papers). Michael W. Totaro collaborates with scholars based in United States, Canada and Iran. Michael W. Totaro's co-authors include John R. Tanner, David Stevens, Zhiwei Zhu, Geoffrey T. Stewart, Bhaskar Ghosh, Magdy Bayoumi, Khalid Elgazzar, Thomas E. Wilson, Marcus D. Odom and Colleen Carraher Wolverton and has published in prestigious journals such as Computer, Journal of Computer Information Systems and Journal of Education for Business.

In The Last Decade

Co-authorship network of co-authors of Michael W. Totaro i

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Fields of papers citing papers by Michael W. Totaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael W. Totaro

Since Specialization

Citations

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