Daniel Kreßner

4.8k citations
148 papers · 2.8k · 1 hit paper · h-index 25

Impact in

Papers in

Daniel Kreßner

138 papers receiving 2.5k citations

Hit Papers

A literature survey of low‐rank tensor approximation techniques 2013 · 368 citations
3680+4+8Years since publication100200300

Peers

Daniel Kreßner
Comparison fields: 5 of 91
  • Computational Mathematics 950
  • Numerical Analysis 777
  • Computational Theory and Mathematics 1.5k
  • Statistical and Nonlinear Physics 628
  • Computational Mechanics 738
Replace Boris N. Khoromskij with:
Boris N. Khoromskij Germany
Lars Grasedyck Germany
Karl Meerbergen Belgium
Marc Van Barel Belgium
Lek‐Heng Lim United States
Zhaojun Bai United States
P.-A. Absil Belgium
Volker Mehrmann Germany
Moody T. Chu United States
Lars Eldén Sweden
Daniel Kreßner relative to Boris N. Khoromskij Germany Boris N. Khoromskij's profile →
Citations per field
00.5×1.5×2.5×
Boris N. Khoromskij · 1×
Citations per year

Countries citing papers authored by Daniel Kreßner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kreßner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A literature survey of low‐rank tensor approximation techniques
Hit paper breakdown →
2013368
2 2013184
3 2011123
4 2010122
5 200893
6 200979
7 200575
8 200868
9 201256
10 201554
11 201453
12 201150
13 201446
14 200645
15 201442
16 200636
17 200133
18 200432
19 200731
20 201630

About Daniel Kreßner

Daniel Kreßner is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 148 papers that have together received 2.8k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (110 papers), Tensor decomposition and applications (43 papers), Numerical methods for differential equations (38 papers), Model Reduction and Neural Networks (31 papers), Electromagnetic Scattering and Analysis (25 papers), Sparse and Compressive Sensing Techniques (20 papers), Advanced Optimization Algorithms Research (18 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). The work is most often cited by research in Computational Mathematics (950 citations), Numerical Analysis (777 citations), Computational Theory and Mathematics (1.5k citations), Statistical and Nonlinear Physics (628 citations) and Computational Mechanics (738 citations). Daniel Kreßner has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Christine Tobler, Lars Grasedyck, Bart Vandereycken, Michael Steinlechner, Bo Kågström, André Uschmajew, Michael Karow, Peter Benner, Ralph Byers and Robert Granat. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, BIT Numerical Mathematics, Numerical Algorithms and ACM Transactions on Mathematical Software.

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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