Martin Kleinsteuber

1.7k total citations
66 papers, 939 citations indexed

About

Martin Kleinsteuber is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Martin Kleinsteuber has authored 66 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 23 papers in Computational Mechanics and 19 papers in Artificial Intelligence. Recurrent topics in Martin Kleinsteuber's work include Sparse and Compressive Sensing Techniques (20 papers), Image and Signal Denoising Methods (10 papers) and Blind Source Separation Techniques (8 papers). Martin Kleinsteuber is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Image and Signal Denoising Methods (10 papers) and Blind Source Separation Techniques (8 papers). Martin Kleinsteuber collaborates with scholars based in Germany, Australia and China. Martin Kleinsteuber's co-authors include Simon Hawe, Hao Shen, Knut Hüper, Klaus Diepold, Xian Wei, Hiroyuki Kasai, Wolfgang Kellerer, Éric Moreau, Petr Tichavský and Gilles Chabriel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Martin Kleinsteuber

64 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kleinsteuber Germany 15 421 251 223 174 144 66 939
Zuyuan Yang China 19 539 1.3× 245 1.0× 300 1.3× 295 1.7× 223 1.5× 64 1.2k
A. Venetsanopoulos Canada 18 468 1.1× 189 0.8× 445 2.0× 179 1.0× 100 0.7× 84 1.1k
Min Tao China 15 355 0.8× 868 3.5× 177 0.8× 101 0.6× 72 0.5× 48 1.2k
Rodolphe Jenatton France 14 418 1.0× 523 2.1× 119 0.5× 353 2.0× 81 0.6× 19 1.1k
Simon Setzer Germany 12 502 1.2× 600 2.4× 86 0.4× 142 0.8× 100 0.7× 29 1.2k
Mahdi Soltanolkotabi United States 13 273 0.6× 295 1.2× 104 0.5× 428 2.5× 73 0.5× 35 905
Deren Han China 21 232 0.6× 1.0k 4.0× 223 1.0× 192 1.1× 61 0.4× 96 1.7k
Ting Kei Pong Hong Kong 18 228 0.5× 806 3.2× 133 0.6× 203 1.2× 39 0.3× 54 1.4k
François Glineur Belgium 20 196 0.5× 467 1.9× 90 0.4× 383 2.2× 50 0.3× 68 1.2k
Nicolas Gillis Belgium 23 668 1.6× 588 2.3× 384 1.7× 316 1.8× 614 4.3× 100 1.9k

Countries citing papers authored by Martin Kleinsteuber

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kleinsteuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kleinsteuber

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kleinsteuber. A scholar is included among the top collaborators of Martin Kleinsteuber 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 Martin Kleinsteuber. Martin Kleinsteuber 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
1.
Kleinsteuber, Martin, et al.. (2021). A Contrastive Learning Approach for Compositional Zero-Shot Learning. 34–42. 5 indexed citations
2.
Kleinsteuber, Martin, et al.. (2019). Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. Electronic Commerce Research. 21(2). 371–391. 55 indexed citations
3.
Kleinsteuber, Martin, et al.. (2017). Towards Glyph-based visualizations for big data clustering. 129–136. 10 indexed citations
4.
Kleinsteuber, Martin, et al.. (2016). A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction. 269–270. 5 indexed citations
5.
Wei, Xian, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, & Yi Lu Murphey. (2016). Joint learning dictionary and discriminative features for high dimensional data. 54. 366–371. 1 indexed citations
6.
Gribonval, Rémi, et al.. (2015). Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Transactions on Information Theory. 61(6). 3469–3486. 34 indexed citations
7.
Kleinsteuber, Martin, et al.. (2015). Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data. 547–552. 1 indexed citations
8.
Chabriel, Gilles, Martin Kleinsteuber, Éric Moreau, et al.. (2014). Joint Matrices Decompositions and Blind Source Separation. ASEP. 84 indexed citations
9.
Hawe, Simon & Martin Kleinsteuber. (2013). Analysis based blind compressive sensing. 14 indexed citations
10.
Trendafilov, Nickolay T., Martin Kleinsteuber, & Hui Zou. (2013). Sparse matrices in data analysis. Computational Statistics. 29(3-4). 403–405. 3 indexed citations
11.
Kleinsteuber, Martin, et al.. (2013). Robust PCA and subspace tracking from incomplete observations using $$\ell _0$$ ℓ 0 -surrogates. Computational Statistics. 29(3-4). 467–487. 19 indexed citations
12.
Kleinsteuber, Martin, et al.. (2012). Robust PCA and subspace tracking from incomplete observations using L0-surrogates. arXiv (Cornell University). 5 indexed citations
13.
Shen, Hao & Martin Kleinsteuber. (2012). Non-unitary matrix joint diagonalization for complex independent vector analysis. EURASIP Journal on Advances in Signal Processing. 2012(1). 2 indexed citations
14.
Kleinsteuber, Martin, et al.. (2011). Resource monitoring in industrial production with knowledge-based models and rules. 35–42. 5 indexed citations
15.
Kleinsteuber, Martin. (2008). A sort-Jacobi algorithm for semisimple lie algebras. Linear Algebra and its Applications. 430(1). 155–173. 4 indexed citations
16.
Shen, Hao, Martin Kleinsteuber, & Knut Hüper. (2008). Local Convergence Analysis of FastICA and Related Algorithms. IEEE Transactions on Neural Networks. 19(6). 1022–1032. 23 indexed citations
17.
Hüper, Knut, Martin Kleinsteuber, & F. Silva Leite. (2008). Rolling Stiefel manifolds. International Journal of Systems Science. 39(9). 881–887. 16 indexed citations
18.
Kleinsteuber, Martin & Abd‐Krim Seghouane. (2008). On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays. IEEE Transactions on Signal Processing. 56(2). 860–864. 12 indexed citations
19.
Kleinsteuber, Martin & Knut Hüper. (2007). An Intrinsic CG Algorithm for Computing Dominant Subspaces. IV–1405. 9 indexed citations
20.
Dirr, Gunther, Uwe Helmke, & Martin Kleinsteuber. (2005). Lie algebra representations, nilpotent matrices, and the C–numerical range. Linear Algebra and its Applications. 413(2-3). 534–566. 1 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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