This map shows the geographic impact of Glenn Beck'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 Glenn Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Beck more than expected).
This network shows the impact of papers produced by Glenn Beck. 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 Glenn Beck. The network helps show where Glenn Beck may publish in the future.
Co-authors
The 1 scholars most cited alongside Glenn Beck, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Glenn BeckLine = papers co-authored togetherGlenn Beck links everyone, so they are left out of the graph.
Glenn Beck is a scholar working on Statistics and Probability, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 5 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Water Science and Technology (97 citations), Statistics and Probability (53 citations), Global and Planetary Change (113 citations), Statistics, Probability and Uncertainty (37 citations) and Analytical Chemistry (44 citations). Glenn Beck has collaborated with scholars based in United States. Frequent co-authors include Frank E. Grubbs. Their work appears in journals such as Technometrics and Aslib Proceedings.
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.