!!Bart De Moor - Selected Publications
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1) P Van Overschee, BL De Moor, "Subspace identification for linear systems: Theory—Implementation—Applications", \\
Springer Science & Business Media  2012 (5522 Google scholar citations)\\
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2) P Van Overschee, B De Moor, "N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems"\\
Automatica 30 (1), 75-93  1994 (2459 Google scholar citations)\\
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These two publications deal with the method of subspace identification that he designed with his PhD student P Van Overschee. It has become a standard method for initializing system identification software. \\
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3) L De Lathauwer, B De Moor, J Vandewalle, "A multilinear singular value decomposition"\\
SIAM journal on Matrix Analysis and Applications 21 (4), 1253-1278 2000 (4622  Google scholar citations)\\
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This has become the standard method for generalizing the singular value decomposition to tensors, that has been and still is widely used and referenced.\\
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4) S Durinck, Y Moreau, A Kasprzyk, S Davis, B De Moor, A Brazma, ..."BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis", Bioinformatics 21 (16), 3439-3440  2005 (1749  Google scholar citations)\\
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Important trend setting contribution to the analysis of different databases in bioinformatics. \\
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5) F Verstraete, J Dehaene, B De Moor, H Verschelde, "Four qubits can be entangled in nine different ways"\\
Physical Review A 65 (5), 052112, 2002 (830  Google scholar citations)\\
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He supervised with a colleague two PhD students F Verstraete, J Dehaene that developed novel linear algebra methods for entanglement.\\
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6) JC Willems, P Rapisarda, I Markovsky, BLM De Moor, "A note on persistency of excitation"\\
Systems & Control Letters 54 (4), 325-329, 2005 (471  Google scholar citations)\\
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Deep insights in the importance and the role of the excitation signals in system identification.\\
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7) Vermeersch C., De Moor B., "Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems", IEEE Control Systems Letters, vol. 7, Jun. 2022, pp. 319-324\\
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Recent work in the framework of his ERC grant.\\
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8) Shi X., Qu T., van Pottelbergh G., Van den Akker M., De Moor B., "A resampling method to improve the prognostic model of end-stage kidney disease : A better strategy imbalanced data", Frontiers in Medicine, vol. 9, Mar. 2022, pp. 730-748\\
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Recent nice method for biomedicine.\\
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9) Nijs M., Smets T., Waelkens E., De Moor B., "A Mathematical Comparison of Non-negative Matrix Factorization-Related Methods with Practical Implications for the Analysis of Mass Spectrometry Imaging Data", Rapid Communications in Mass Spectrometry, vol. 35, no. 21, Aug. 2021, pp. e9181 1-16.\\
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Nice interdisciplinary research with value in biomedicine.\\
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10)De Moor B., "Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem", Communications in Information and systems, vol. 20, no. 2, 2020, pp. 163-207.\\
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Recent work in the framework of his ERC grant.\\
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__Bibliometry__\\
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[https://scholar.google.com/citations?hl=en&user=qws2WIMAAAAJ]: 69853  citations; H-index 117;-\\
Web of Science: H-index 72; Total cited: 21 482 (without self-citation: 20 904)-\\
Ranked 15th all-time top PhD advisors in mathematics ([https://genealogy.math.ndsu.nodak.edu/extrema.php])\\ \\[{ALLOW view All}][{ALLOW edit bdemoor}][{ALLOW upload bdemoor}][{ALLOW comment All}]
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