George Labahn

3.8k citations
93 papers · 2.0k · h-index 25

Impact in

Papers in

George Labahn

91 papers receiving 1.8k citations

Peers

George Labahn
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 1.0k
  • Computational Mathematics 36
  • Numerical Analysis 264
  • Finance 433
  • Algebra and Number Theory 119
Replace Christian Berg with:
Christian Berg Denmark
H. Woźniakowski United States
Fumio Hiai Japan
Daniel W. Stroock United States
Vassili N. Kolokoltsov United Kingdom
Beatrice Meini Italy
J. F. Traub United States
J. T. Schwartz United States
Harold R. Parks United States
George P. H. Styan Canada
George Labahn relative to Christian Berg Denmark Christian Berg's profile →
Citations per field
00.5×7.2×
Christian Berg · 1×
Citations per year

Countries citing papers authored by George Labahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with George Labahn Line = papers co-authored together George Labahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992315
2 2004146
3 2007103
4 199479
5 199861
6 200560
7 201256
8 201151
9 199643
10
Maple 9 Advanced Programming Guide
200342
11 200840
12 200939
13 200039
14 200537
15 199236
16 199835
17 199230
18 199730
19 201029
20 199029

About George Labahn

George Labahn is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Applied Mathematics, Geometry and Topology and Finance, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (43 papers), Coding theory and cryptography (23 papers), Matrix Theory and Algorithms (13 papers), Stochastic processes and financial applications (12 papers), Mathematical functions and polynomials (10 papers), Numerical Methods and Algorithms (9 papers), Advanced Differential Equations and Dynamical Systems (7 papers) and Complexity and Algorithms in Graphs (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Computational Mathematics (36 citations), Numerical Analysis (264 citations), Finance (433 citations) and Algebra and Number Theory (119 citations). George Labahn has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Peter Forsyth, Bernhard Beckermann, K. O. Geddes, S. R. Czapor, Y. d’Halluin, Arne Storjohann, Yu Huang, Howard Cheng, Mark Giesbrecht and Michael Monagan. Their work appears in journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications, Numerische Mathematik, Mathematics of Computation and The Journal of Computational Finance.

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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