George Labahn
Impact in
- Computational Theory and Mathematics top 0.5%
- Polynomial and algebraic computation
- Matrix Theory and Algorithms
- Numerical Methods and Algorithms
- Computational Mathematics top 2%
Papers in
-
- Polynomial and algebraic computation 52
- Matrix Theory and Algorithms 18
- Numerical Methods and Algorithms 11
- Complexity and Algorithms in Graphs 8
-
- Advanced Differential Equations and Dynamical Systems 8
- Co-authors
- Bernhard Beckermann (18 shared papers)Peter Forsyth (11 shared papers)Keith O. Geddes (12 shared papers)S. R. Czapor (6 shared papers)Y. d’Halluin (3 shared papers)Arne Storjohann (9 shared papers)Michael Monagan (6 shared papers)K. M. Heal (5 shared papers)
In The Last Decade
George Labahn
105 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 1.3k
- Computational Mathematics 42
- Numerical Analysis 292
- Finance 422
- Algebra and Number Theory 156
Countries citing papers authored by George Labahn
This map shows the geographic impact of George Labahn'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 George Labahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Labahn more than expected).
Fields of papers citing papers by George Labahn
This network shows the impact of papers produced by George Labahn. 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 George Labahn. The network helps show where George Labahn may publish in the future.
Co-authors
The 25 scholars most cited alongside George Labahn, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 416 | |
| 2 | 2004 | 137 | |
| 3 | Maple 6 Programming Guide | 2000 | 113 |
| 4 | 1994 | 108 | |
| 5 | 2007 | 100 | |
| 6 | 2012 | 72 | |
| 7 | 2005 | 64 | |
| 8 | 1998 | 63 | |
| 9 | 1996 | 60 | |
| 10 | 2005 | 50 | |
| 11 | 2011 | 50 | |
| 12 | 2000 | 49 | |
| 13 | 2008 | 48 | |
| 14 | 1998 | 44 | |
| 15 | Maple 9 Advanced Programming Guide | 2003 | 43 |
| 16 | 1992 | 39 | |
| 17 | 2010 | 37 | |
| 18 | 1990 | 34 | |
| 19 | 1999 | 34 | |
| 20 | 2009 | 34 |
About George Labahn
George Labahn is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Applied Mathematics, Artificial Intelligence and Algebra and Number Theory, having authored 110 papers that have together received 2.5k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (52 papers), Coding theory and cryptography (26 papers), Matrix Theory and Algorithms (18 papers), Stochastic processes and financial applications (11 papers), Numerical Methods and Algorithms (11 papers), Mathematical functions and polynomials (10 papers), Complexity and Algorithms in Graphs (8 papers) and Advanced Differential Equations and Dynamical Systems (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Computational Mathematics (42 citations), Numerical Analysis (292 citations), Finance (422 citations) and Algebra and Number Theory (156 citations). George Labahn has collaborated with scholars based in Canada, France and China. Frequent co-authors include Bernhard Beckermann, Peter Forsyth, Keith O. Geddes, S. R. Czapor, Y. d’Halluin, Arne Storjohann, Michael Monagan, K. M. Heal, Yu Hui Huang and Howard Cheng. Their work appears in journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications, Numerische Mathematik, SIAM Journal on Computing and Journal of Computational and Applied Mathematics.
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.