Bernhard Beckermann

88 papers receiving 1.9k citations

Peers

Bernhard Beckermann
Comparison fields: 5 of 120
  • Computational Mathematics 49
  • Numerical Analysis 401
  • Computational Theory and Mathematics 1.1k
  • Applied Mathematics 475
  • Hepatology 245
Replace Michela Redivo‐Zaglia with:
Michela Redivo‐Zaglia Italy
Martin H. Gutknecht Switzerland
William F. Trench United States
Robert D. Grone United States
Vadim Olshevsky United States
William B. Gragg United States
Ren‐Cang Li United States
Georg Heinig Kuwait
Gerhard Schmeißer Germany
André C. M. Ran Netherlands
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Bernhard Beckermann, 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 Bernhard Beckermann Line = papers co-authored together Bernhard Beckermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003437
2 2009119
3 1994108
4 200099
5 200192
6
[Comparative bioavailability of eicosapentaenoic acid and docasahexaenoic acid from triglycerides, free fatty acids and ethyl esters in volunteers].
199055
7 200551
8 200151
9 200550
10 200049
11 199844
12 200741
13 198240
14 199239
15 201137
16 199334
17 199934
18 199732
19 200632
20 200631

About Bernhard Beckermann

Bernhard Beckermann is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Numerical Analysis, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (41 papers), Mathematical functions and polynomials (39 papers), Polynomial and algebraic computation (16 papers), Numerical Methods and Algorithms (10 papers), Electromagnetic Scattering and Analysis (10 papers), Iterative Methods for Nonlinear Equations (9 papers), Fractional Differential Equations Solutions (8 papers) and Advanced Optimization Algorithms Research (7 papers). The work is most often cited by research in Computational Mathematics (49 citations), Numerical Analysis (401 citations), Computational Theory and Mathematics (1.1k citations), Applied Mathematics (475 citations) and Hepatology (245 citations). Bernhard Beckermann has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include George Labahn, Arno B. J. Kuijlaars, Lothar Reichel, Karl‐Heinz Schlemmer, Dieter Haebich, Thomas Krämer, Diana Koletzki, Helga Rübsamen‐Waigmann, Siegfried Goldmann and Olaf Weber. Their work appears in journals such as Journal of Computational and Applied Mathematics, SIAM Journal on Matrix Analysis and Applications, Numerical Algorithms, Journal of Approximation Theory and Constructive Approximation.

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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