Dan Kalman
Impact in
- Theoretical Computer Science top 2%
- History and Theory of Mathematics
- Computational Mathematics top 10%
Papers in
-
- Mathematics and Applications 19
-
- Matrix Theory and Algorithms 8
- Polynomial and algebraic computation 5
- Co-authors
- James E. White (1 shared paper)Jane Day (3 shared papers)Abraham A. Ungar (2 shared papers)J. E. White (2 shared papers)Paul Turner (1 shared paper)Daniel A. Marcus (1 shared paper)Gary Gordon (1 shared paper)Roger B. Nelsen (1 shared paper)
- 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
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 125
- Theoretical Computer Science 61
- Computational Mathematics 16
- Algebra and Number Theory 123
- Statistical and Nonlinear Physics 272
- Discrete Mathematics and Combinatorics 70
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-authors
The 9 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
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 350 | |
| 2 | 1996 | 152 | |
| 3 | 2003 | 123 | |
| 4 | 1984 | 57 | |
| 5 | 1982 | 54 | |
| 6 | 2003 | 49 | |
| 7 | 1993 | 33 | |
| 8 | 2008 | 25 | |
| 9 | 2001 | 24 | |
| 10 | 2000 | 23 | |
| 11 | 1984 | 22 | |
| 12 | 2009 | 19 | |
| 13 | 2001 | 14 | |
| 14 | 1997 | 11 | |
| 15 | 2008 | 11 | |
| 16 | 1993 | 11 | |
| 17 | 2001 | 10 | |
| 18 | 1983 | 10 | |
| 19 | Teaching Linear Algebra: What are the Questions? | 1999 | 9 |
| 20 | 1990 | 8 |
About Dan Kalman
Dan Kalman is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Theoretical Computer Science, Statistical and Nonlinear Physics and Education, having authored 72 papers that have together received 1.2k 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), Advanced Mathematical Theories and Applications (6 papers), Mathematics Education and Teaching Techniques (6 papers), Polynomial and algebraic computation (5 papers), Advanced Mathematical Theories (3 papers) and Advanced Optimization Algorithms Research (3 papers). The work is most often cited by research in Theoretical Computer Science (61 citations), Computational Mathematics (16 citations), Algebra and Number Theory (123 citations), Statistical and Nonlinear Physics (272 citations) and Discrete Mathematics and Combinatorics (70 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, Daniel A. Marcus, Gary Gordon, 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.