Dan Kalman
Impact in
- Theoretical Computer Science top 2%
- History and Theory of Mathematics
- Algebra and Number Theory top 10%
- Advanced Mathematical Identities
Papers in
-
- History and Theory of Mathematics 12
-
- Mathematics and Applications 19
- Journals
- Optimization methods & software (1 paper)American Mathematical Monthly (8 papers)College Mathematics Journal (22 papers)International Journal of Mathematical Education in Science and Technology (2 papers)PRIMUS (1 paper)
- Partner nations
- United States
In The Last Decade
Dan Kalman
56 papers receiving 957 citations
Peers
Comparison fields: 5 of 124
- Theoretical Computer Science 56
- Algebra and Number Theory 124
- Computational Mathematics 13
- Discrete Mathematics and Combinatorics 70
- Statistical and Nonlinear Physics 265
Countries citing papers authored by Dan Kalman
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).
Fields of papers citing papers by Dan Kalman
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.
Co-authorship network
The 7 scholars most cited alongside Dan Kalman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2009 | 17 | |
| 4 | 2008 | 24 | |
| 5 | 2007 | 4 | |
| 6 | 2007 | 1 | |
| 7 | 2005 | 1 | |
| 8 | 2001 | 22 | |
| 9 | 1997 | 12 | |
| 10 | 1996 | 141 | |
| 11 | 1995 | 3 | |
| 12 | 1990 | 8 | |
| 13 | 1986 | 2 | |
| 14 | Up Fractions! Up n divided by m!. | 1985 | 1 |
| 15 | 1985 | 1 | |
| 16 | 1985 | 1 | |
| 17 | 1984 | 21 | |
| 18 | 1982 | 1 | |
| 19 | 1982 | 53 | |
| 20 | 1980 | 5 |
About Dan Kalman
Dan Kalman is a scholar working on Theoretical Computer Science, Geometry and Topology, Algebra and Number Theory, Computational Theory and Mathematics and Numerical Analysis, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematics and Applications (19 papers), History and Theory of Mathematics (12 papers), Matrix Theory and Algorithms (8 papers), Mathematics Education and Teaching Techniques (6 papers), Advanced Mathematical Theories and Applications (6 papers), Polynomial and algebraic computation (5 papers), Advanced Mathematical Theories (3 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Theoretical Computer Science (56 citations), Algebra and Number Theory (124 citations), Computational Mathematics (13 citations), Discrete Mathematics and Combinatorics (70 citations) and Statistical and Nonlinear Physics (265 citations). Dan Kalman has collaborated with scholars based in United States. Frequent co-authors include James E. White, Jane Day, Abraham A. Ungar, J. E. White, Paul Turner, Roger B. Nelsen and Bruce Reznick. Their work appears in journals such as Optimization methods & software, American Mathematical Monthly, College Mathematics Journal, International Journal of Mathematical Education in Science and Technology and PRIMUS.
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.