Peter Cass

About

Peter Cass is a scholar working on Mathematical Physics, Clinical Psychology and Statistics and Probability. According to data from OpenAlex, Peter Cass has authored 5 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Mathematical Physics, 1 paper in Clinical Psychology and 1 paper in Statistics and Probability. Recurrent topics in Peter Cass’s work include Approximation Theory and Sequence Spaces (1 paper), Varied Academic Research Topics (1 paper) and Advanced Topics in Algebra (1 paper). Peter Cass is often cited by papers focused on Approximation Theory and Sequence Spaces (1 paper), Varied Academic Research Topics (1 paper) and Advanced Topics in Algebra (1 paper). Peter Cass collaborates with scholars based in Canada and Germany. Peter Cass's co-authors include Johann Boos and Xiaopeng Gao and has published in prestigious journals such as Analysis, The Mathematical Gazette and Oxford University Press eBooks.

In The Last Decade

Co-authorship network of co-authors of Peter Cass i

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Fields of papers citing papers by Peter Cass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Cass

Since Specialization

Citations

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