Bernhard Beckermann

3.2k total citations
83 papers, 1.9k citations indexed

About

Bernhard Beckermann is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Bernhard Beckermann has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Theory and Mathematics, 42 papers in Applied Mathematics and 20 papers in Numerical Analysis. Recurrent topics in Bernhard Beckermann's work include Matrix Theory and Algorithms (35 papers), Mathematical functions and polynomials (35 papers) and Polynomial and algebraic computation (14 papers). Bernhard Beckermann is often cited by papers focused on Matrix Theory and Algorithms (35 papers), Mathematical functions and polynomials (35 papers) and Polynomial and algebraic computation (14 papers). Bernhard Beckermann collaborates with scholars based in France, Germany and Canada. Bernhard Beckermann's co-authors include George Labahn, Arno B. J. Kuijlaars, Lothar Reichel, Thomas Krämer, Helga Rübsamen‐Waigmann, Jürgen Stoltefuß, Anja Reimann, Karl Deres, Olaf Weber and Dieter Haebich and has published in prestigious journals such as Science, Cancer Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Bernhard Beckermann

81 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernhard Beckermann France 24 896 405 370 301 256 83 1.9k
Toufik Mansour Israel 23 798 0.9× 343 0.8× 122 0.3× 16 0.1× 13 0.1× 379 2.6k
Ranjan Roy United States 11 190 0.2× 854 2.1× 175 0.5× 8 0.0× 14 0.1× 23 2.1k
T. Tsuzuki Japan 31 95 0.1× 63 0.2× 113 0.3× 87 0.3× 5 0.0× 83 3.0k
John D. Pryce United Kingdom 20 631 0.7× 193 0.5× 554 1.5× 13 0.0× 2 0.0× 79 1.7k
Yanping Chen China 34 1.1k 1.3× 324 0.8× 2.0k 5.5× 22 0.1× 2 0.0× 311 4.3k
R. A. Rankin United Kingdom 18 102 0.1× 168 0.4× 61 0.2× 14 0.0× 16 0.1× 74 1.2k
Tetsuya Sakurai Japan 21 833 0.9× 51 0.1× 421 1.1× 12 0.0× 2 0.0× 157 1.9k
Y. Cherruault France 26 362 0.4× 587 1.4× 2.1k 5.7× 32 0.1× 1 0.0× 163 3.9k
Gustaf Gripenberg Finland 17 443 0.5× 860 2.1× 379 1.0× 5 0.0× 4 0.0× 78 1.8k

Countries citing papers authored by Bernhard Beckermann

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Beckermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Beckermann

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Beckermann. A scholar is included among the top collaborators of Bernhard Beckermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernhard Beckermann. Bernhard Beckermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beckermann, Bernhard, et al.. (2021). Low-rank updates of matrix functions II: Rational Krylov methods. CINECA IRIS Institutial research information system (University of Pisa). 6 indexed citations
2.
Beckermann, Bernhard, et al.. (2014). Algebraic properties of robust Padé approximants. Journal of Approximation Theory. 190. 91–115. 8 indexed citations
3.
Beckermann, Bernhard & Lothar Reichel. (2009). Error Estimates and Evaluation of Matrix Functions via the Faber Transform. SIAM Journal on Numerical Analysis. 47(5). 3849–3883. 112 indexed citations
4.
Beckermann, Bernhard, et al.. (2009). On Gautschi’s conjecture for generalized Gauss–Radau and Gauss–Lobatto formulae. Journal of Computational and Applied Mathematics. 233(3). 768–774. 4 indexed citations
5.
Beckermann, Bernhard, George Labahn, & Gilles Villard. (2006). Normal forms for general polynomial matrices. Journal of Symbolic Computation. 41(6). 708–737. 24 indexed citations
6.
Beckermann, Bernhard, et al.. (2005). Multiple Wilson and Jacobi–Piñeiro polynomials. Journal of Approximation Theory. 132(2). 155–181. 23 indexed citations
7.
Kuijlaars, Arno B. J. & Bernhard Beckermann. (2002). Superlinear CG convergence for special right-hand sides. ETNA - Electronic Transactions on Numerical Analysis. 14. 1–19. 25 indexed citations
8.
Beckermann, Bernhard, et al.. (2001). A recurrence relation connected to the convergence of vector S-fractions. East journal on approximations. 7(3). 287–314.
9.
Beckermann, Bernhard. (2001). Complex Jacobi matrices. Journal of Computational and Applied Mathematics. 127(1-2). 17–65. 42 indexed citations
10.
Beckermann, Bernhard, George Labahn, & Gilles Villard. (1999). Shifted normal forms of polynomial matrices. 189–196. 26 indexed citations
11.
Beckermann, Bernhard & George Labahn. (1998). When are Two Numerical Polynomials Relatively Prime?. Journal of Symbolic Computation. 26(6). 677–689. 35 indexed citations
12.
Beckermann, Bernhard & George Labahn. (1998). A Fast and Numerically Stable Euclidean-like Algorithm for Detecting Relatively Prime Numerical Polynomials. Journal of Symbolic Computation. 26(6). 691–714. 21 indexed citations
13.
Beckermann, Bernhard & George Labahn. (1997). Recursiveness in matrix rational interpolation problems. Journal of Computational and Applied Mathematics. 77(1-2). 5–34. 30 indexed citations
14.
Labahn, George, et al.. (1995). Inversion of mosaic Hankel matrices via matrix polynomial systems. Linear Algebra and its Applications. 221. 253–279. 3 indexed citations
15.
Beckermann, Bernhard, et al.. (1994). On the Definition and Normality of a General Table of Simultaneous Padé Approximants. Journal of Approximation Theory. 77(1). 65–73. 2 indexed citations
16.
Beckermann, Bernhard & G. Mühlbach. (1994). A general determinantal identity of Sylvester type and some applications. Linear Algebra and its Applications. 197-198. 93–112. 4 indexed citations
17.
Beckermann, Bernhard. (1992). A reliable method for computing M-Padé approximants on arbitrary staircases. Journal of Computational and Applied Mathematics. 40(1). 19–42. 22 indexed citations
18.
Beckermann, Bernhard & Carsten Carstensen. (1992). A reliable modification of the cross rule for rational Hermite interpolation. Numerical Algorithms. 3(1). 29–44. 4 indexed citations
19.
Beckermann, Bernhard. (1990). The structure of the singular solution table of the M-Padé approximation problem. Journal of Computational and Applied Mathematics. 32(1-2). 3–15. 15 indexed citations
20.
Beckermann, Bernhard, et al.. (1990). Vergleich der Bioverfügbarkeit von Eicosapentaensäure und Docosahexaensäure aus Triglyceriden, freien Fettsäuren und Ethylestern bei Probanden. Arzneimittelforschung. 40(6). 700–704. 1 indexed citations

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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