Dan Kalman

62 papers and 872 indexed citations i.

About

Dan Kalman is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Theoretical Computer Science. According to data from OpenAlex, Dan Kalman has authored 62 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geometry and Topology, 13 papers in Computational Theory and Mathematics and 11 papers in Theoretical Computer Science. Recurrent topics in Dan Kalman’s work include Mathematics and Applications (18 papers), History and Theory of Mathematics (11 papers) and Matrix Theory and Algorithms (7 papers). Dan Kalman is often cited by papers focused on Mathematics and Applications (18 papers), History and Theory of Mathematics (11 papers) and Matrix Theory and Algorithms (7 papers). Dan Kalman collaborates with scholars based in United States. Dan Kalman's co-authors include James E. White, Jane Day, Abraham A. Ungar, J. E. White, Paul Turner, Roger B. Nelsen, Gary Gordon and Bruce Reznick and has published in prestigious journals such as American Mathematical Monthly, Optimization methods & software and International Journal of Mathematical Education in Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Dan Kalman i

Fields of papers citing papers by Dan Kalman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Kalman

Since Specialization
Citations

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