Michael Steinlechner

520 total citations
5 papers, 312 citations indexed

About

Michael Steinlechner is a scholar working on Computational Mathematics, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Michael Steinlechner has authored 5 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mathematics, 3 papers in Computational Mechanics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Michael Steinlechner's work include Tensor decomposition and applications (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Matrix Theory and Algorithms (3 papers). Michael Steinlechner is often cited by papers focused on Tensor decomposition and applications (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Matrix Theory and Algorithms (3 papers). Michael Steinlechner collaborates with scholars based in Switzerland and United States. Michael Steinlechner's co-authors include Daniel Kreßner, Bart Vandereycken and André Uschmajew and has published in prestigious journals such as SIAM Journal on Scientific Computing, BIT Numerical Mathematics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Michael Steinlechner

5 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Steinlechner Switzerland	5	242	192	83	62	58	5	312
Nick Vannieuwenhoven Belgium	10	303 1.3×	129 0.7×	133 1.6×	20 0.3×	56 1.0×	30	381
Minru Bai China	14	221 0.9×	243 1.3×	176 2.1×	192 3.1×	25 0.4×	32	485
Jonas Ballani Germany	8	226 0.9×	97 0.5×	135 1.6×	17 0.3×	21 0.4×	12	343
Guyan Ni China	10	180 0.7×	44 0.2×	131 1.6×	24 0.4×	20 0.3×	33	285
Lu‐Bin Cui China	10	207 0.9×	58 0.3×	157 1.9×	31 0.5×	14 0.2×	24	276
Paul Breiding Germany	8	93 0.4×	52 0.3×	61 0.7×	12 0.2×	22 0.4×	27	157
Luke Oeding United States	9	112 0.5×	30 0.2×	73 0.9×	26 0.4×	16 0.3×	18	214
K. PEARSON United States	8	799 3.3×	65 0.3×	573 6.9×	14 0.2×	116 2.0×	13	851
Khalide Jbilou France	9	63 0.3×	80 0.4×	185 2.2×	34 0.5×	3 0.1×	26	290
Maria Virginia Catalisano Italy	13	317 1.3×	33 0.2×	264 3.2×	5 0.1×	11 0.2×	41	534

Countries citing papers authored by Michael Steinlechner

Since Specialization

Citations

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

Fields of papers citing papers by Michael Steinlechner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Steinlechner

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Steinlechner. A scholar is included among the top collaborators of Michael Steinlechner 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 Michael Steinlechner. Michael Steinlechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Steinlechner, Michael. (2016). Riemannian Optimization for Solving High-Dimensional Problems with Low-Rank Tensor Structure. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8 indexed citations

2.

Kreßner, Daniel, Michael Steinlechner, & Bart Vandereycken. (2016). Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure. SIAM Journal on Scientific Computing. 38(4). A2018–A2044. 30 indexed citations

3.

Steinlechner, Michael. (2016). Riemannian Optimization for High-Dimensional Tensor Completion. SIAM Journal on Scientific Computing. 38(5). S461–S484. 48 indexed citations

4.

Kreßner, Daniel, Michael Steinlechner, & André Uschmajew. (2014). Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems. SIAM Journal on Scientific Computing. 36(5). A2346–A2368. 42 indexed citations

5.

Kreßner, Daniel, Michael Steinlechner, & Bart Vandereycken. (2013). Low-rank tensor completion by Riemannian optimization. BIT Numerical Mathematics. 54(2). 447–468. 184 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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