M
Michael Schreiber
Researcher at Chemnitz University of Technology
Publications - 464
Citations - 8221
Michael Schreiber is an academic researcher from Chemnitz University of Technology. The author has contributed to research in topics: Anderson impurity model & Quasiperiodic function. The author has an hindex of 43, co-authored 459 publications receiving 7843 citations. Previous affiliations of Michael Schreiber include Dresden University of Technology & International University, Cambodia.
Papers
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A modification of the h-index: The hm-index accounts for multi-authored manuscripts
TL;DR: In this article, a modification of the Hirsch index was proposed to take multiple coauthorship appropriately into account, and the effect of this procedure was compared with other variants of the h-index and found to be superior to the fractionalised counting of citations and to the normalization of the average number of authors in the H-core.
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Self-citation corrections for the Hirsch index
TL;DR: In this paper, the authors propose to sharpen the index h, suggested by Hirsch as a useful index to characterize the scientific output of a researcher, by excluding the self-citations.
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On the calculation of percentile-based bibliometric indicators
Ludo Waltman,Michael Schreiber +1 more
TL;DR: This work introduces an approach to calculating percentile-based indicators that deals with this difficulty in a more satisfactory way than earlier approaches suggested in the literature and shows in a formal mathematical framework that this approach leads to indicators that do not suffer from biases in favor of or against particular fields of science.
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Multifractal wave functions at the Anderson transition
TL;DR: Strong spatial fluctuations of the amplitude of the eigenstates display a multifractal character, reflected in the set of generalized fractal dimensions and the singularity spectrum of the fractal measure.
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To share the fame in a fair way, hm modifies h for multi-authored manuscripts
TL;DR: In this article, a modification of the H-index was proposed to take multiple co-authorship appropriately into account, by counting each paper only fractionally according to (the inverse of) the number of authors.