Lars Grasedyck

4.5k total citations · 1 hit paper
64 papers, 2.7k citations indexed

About

Lars Grasedyck is a scholar working on Atomic and Molecular Physics, and Optics, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Lars Grasedyck has authored 64 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 20 papers in Computational Mechanics and 19 papers in Computational Mathematics. Recurrent topics in Lars Grasedyck's work include Electromagnetic Scattering and Analysis (19 papers), Tensor decomposition and applications (19 papers) and Matrix Theory and Algorithms (18 papers). Lars Grasedyck is often cited by papers focused on Electromagnetic Scattering and Analysis (19 papers), Tensor decomposition and applications (19 papers) and Matrix Theory and Algorithms (18 papers). Lars Grasedyck collaborates with scholars based in Germany, Switzerland and United States. Lars Grasedyck's co-authors include Wolfgang Hackbusch, Steffen Börm, Jonas Ballani, Daniel Kreßner, Christine Tobler, Sabine Le Borne, Carsten H. Wolters, Ronald Kriemann, Boris N. Khoromskij and Mike Espig and has published in prestigious journals such as Bioinformatics, NeuroImage and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Lars Grasedyck

61 papers receiving 2.5k citations

Hit Papers

A literature survey of low‐rank tensor approximation tech... 2013 2026 2017 2021 2013 100 200 300

Peers

Lars Grasedyck
Comparison fields: 5 of 101
  • Computational Theory and Mathematics 1.0k
  • Computational Mathematics 1.0k
  • Atomic and Molecular Physics, and Optics 887
  • Computational Mechanics 781
  • Electrical and Electronic Engineering 557
Replace Boris N. Khoromskij with:
Boris N. Khoromskij Germany
Daniel Kreßner Switzerland
Karl Meerbergen Belgium
Marc Van Barel Belgium
Misha E. Kilmer United States
Lars Eldén Sweden
P.-A. Absil Belgium
Xiaoye Sherry Li United States
Ren‐Cang Li United States
Robert A. Geijn United States
Boris N. Khoromskij Germany View profile →
Citations per field, relative to Lars Grasedyck
Lars Grasedyck · 1×
Citations per year, relative to Lars Grasedyck
Lars Grasedyck · 1×

Countries citing papers authored by Lars Grasedyck

Since Specialization
Citations

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

Fields of papers citing papers by Lars Grasedyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Grasedyck

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Grasedyck. A scholar is included among the top collaborators of Lars Grasedyck 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 Lars Grasedyck. Lars Grasedyck 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 0
2 0
3 1
4 3
5 1
6 0
7 5
8 6
9 2
10 13
11 71
12 313
13 42
14 7
15 1
16 21
17 15
18
Existence and Computation of a Low Kronecker-Rank Approximant to the Solution of a Tensor System with Tensor Right-Hand Side
10
19 52
20 8

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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