Siegfried M. Rump

5.3k total citations
145 papers, 2.2k citations indexed

About

Siegfried M. Rump is a scholar working on Computational Theory and Mathematics, Signal Processing and Numerical Analysis. According to data from OpenAlex, Siegfried M. Rump has authored 145 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computational Theory and Mathematics, 38 papers in Signal Processing and 23 papers in Numerical Analysis. Recurrent topics in Siegfried M. Rump's work include Numerical Methods and Algorithms (92 papers), Matrix Theory and Algorithms (66 papers) and Digital Filter Design and Implementation (38 papers). Siegfried M. Rump is often cited by papers focused on Numerical Methods and Algorithms (92 papers), Matrix Theory and Algorithms (66 papers) and Digital Filter Design and Implementation (38 papers). Siegfried M. Rump collaborates with scholars based in Germany, Japan and France. Siegfried M. Rump's co-authors include Shin’ichi Oishi, Takeshi Ogita, Claude-Pierre Jeannerod, Christian Jansson, Stef Graillat, E. Kaucher, Arnold Neumaier, Masahide Kashiwagi, Tetsuro Yamamoto and G. Alefeld and has published in prestigious journals such as Physical review. B, Condensed matter, IEEE Transactions on Automatic Control and Mathematics of Computation.

In The Last Decade

Siegfried M. Rump

137 papers receiving 2.0k citations

Peers

Siegfried M. Rump
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 1.9k
  • Signal Processing 482
  • Numerical Analysis 466
  • Statistical and Nonlinear Physics 321
  • Hardware and Architecture 268
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Citations per field, relative to Siegfried M. Rump
Siegfried M. Rump · 1×
Citations per year, relative to Siegfried M. Rump
Siegfried M. Rump · 1×

Countries citing papers authored by Siegfried M. Rump

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried M. Rump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siegfried M. Rump. 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 Siegfried M. Rump. The network helps show where Siegfried M. Rump may publish in the future.

Co-authorship network of co-authors of Siegfried M. Rump

This figure shows the co-authorship network connecting the top 25 collaborators of Siegfried M. Rump. A scholar is included among the top collaborators of Siegfried M. Rump 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 Siegfried M. Rump. Siegfried M. Rump 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
# Work Indexed citations
1 3
2 2
3 1
4
Verified Bounds for the p-Norm Condition Number.
1
5
A consideration on the generation of extremely ill-conditioned matrices (非線形問題)
1
6 11
7 6
8
Standardized notation in interval analysis
55
9
Fast Verification for All Eigenpairs in Symmetric Positive Definite Generalized Eigenvalue Problems
12
10 6
11
A Method for the Generation of a Class of Ill-conditioned Matrices
4
12
INTLAB - INTerval LABoratory
4
13
On Nishi's Conditions for Ω-Property
0
14 13
15 6
16 29
17 4
18
Inclusion methods for real and complex functions in one variable.
1
19 4
20 5

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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