Michael Scheutzow

3.4k total citations
112 papers, 1.9k citations indexed

About

Michael Scheutzow is a scholar working on Finance, Mathematical Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Scheutzow has authored 112 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Finance, 41 papers in Mathematical Physics and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Scheutzow's work include Stochastic processes and financial applications (46 papers), Advanced Photonic Communication Systems (23 papers) and Stability and Controllability of Differential Equations (22 papers). Michael Scheutzow is often cited by papers focused on Stochastic processes and financial applications (46 papers), Advanced Photonic Communication Systems (23 papers) and Stability and Controllability of Differential Equations (22 papers). Michael Scheutzow collaborates with scholars based in Germany, United States and Canada. Michael Scheutzow's co-authors include Salah-Eldin A. Mohammed, Martin Maier, Martin Reisslein, Martin Hairer, Jonathan C. Mattingly, Igor Čhuešhov, Navid Ghazisaidi, Steffen Dereich, Ludwig Arnold and Max‐K. von Renesse and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Michael Scheutzow

108 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Scheutzow 651 529 461 440 395 112 1.9k
Tyrone E. Duncan 1.1k 1.7× 659 1.2× 126 0.3× 201 0.5× 254 0.6× 156 2.1k
Amarjit Budhiraja 484 0.7× 220 0.4× 82 0.2× 281 0.6× 257 0.7× 93 1.4k
Italo Capuzzo-Dolcetta 508 0.8× 584 1.1× 81 0.2× 257 0.6× 975 2.5× 11 2.5k
David Applebaum 1.3k 2.0× 443 0.8× 52 0.1× 721 1.6× 473 1.2× 64 2.9k
А. А. Боровков 729 1.1× 74 0.1× 162 0.4× 1.2k 2.7× 181 0.5× 154 2.8k
Fuke Wu 811 1.2× 648 1.2× 32 0.1× 128 0.3× 257 0.7× 119 1.9k
Arrigo Cellina 87 0.1× 969 1.8× 185 0.4× 392 0.9× 1.7k 4.4× 86 3.6k
William M. McEneaney 228 0.4× 537 1.0× 108 0.2× 51 0.1× 321 0.8× 106 1.5k
E. B. Dynkin 966 1.5× 210 0.4× 47 0.1× 1.6k 3.6× 636 1.6× 103 3.1k

Countries citing papers authored by Michael Scheutzow

Since Specialization
Citations

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

Fields of papers citing papers by Michael Scheutzow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Scheutzow

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Scheutzow. A scholar is included among the top collaborators of Michael Scheutzow 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 Scheutzow. Michael Scheutzow 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.
Crauel, Hans, et al.. (2024). Comment on: Criteria for Strong and Weak Random Attractors. Journal of Dynamics and Differential Equations. 37(2). 1997–2001. 1 indexed citations
2.
Xu, Xin, Michael Scheutzow, J. E. Simsarian, et al.. (2023). Automated fiber switch with path verification enabled by an AI-powered multi-task mobile robot. IET conference proceedings.. 2023(34). 1670–1673. 2 indexed citations
3.
Scheutzow, Michael, et al.. (2022). A Wong-Zakai theorem for SDEs with singular drift. Journal of Differential Equations. 326. 344–363. 2 indexed citations
4.
Scheutzow, Michael, et al.. (2018). Propagation of Chaos for Stochastic Spatially Structured Neuronal Networks with Fully Path Dependent Delays and Monotone Coefficients driven by Jump Diffusion Noise. arXiv (Cornell University). 1 indexed citations
5.
Scheutzow, Michael, et al.. (2017). Invariant measures for stochastic functional differential equations. Electronic Journal of Probability. 22(none). 24 indexed citations
6.
Bailleul, Ismaël, et al.. (2017). Random dynamical systems, rough paths and rough flows. Journal of Differential Equations. 262(12). 5792–5823. 28 indexed citations
7.
Gaans, Onno van, et al.. (2016). INVARIANT MEASURES FOR MONOTONE SPDE’S WITH MULTIPLICATIVE NOISE TERM. 2 indexed citations
8.
Jamilov, Uygun, et al.. (2015). On the random dynamics of Volterra quadratic operators. Ergodic Theory and Dynamical Systems. 37(1). 228–243. 17 indexed citations
9.
Scheutzow, Michael, et al.. (2015). On a transformation between distributions obeying the principle of a single big jump. Journal of Mathematical Analysis and Applications. 430(2). 672–684. 12 indexed citations
10.
Bolthausen, Erwin, Jürgen Gärtner, Jean-Dominique Deuschel, et al.. (2012). Probability in complex physical systems : in honour of Erwin Bolthausen and Jürgen Gärtner. Springer eBooks. 2 indexed citations
11.
Heiden, Matthias an der, et al.. (2011). Multicast capacity of optical ring network with hotspot traffic: The bi-directional WDM packet ring. Publication server of the Robert Koch Institute (Robert Kock Institute). 1 indexed citations
12.
Renesse, Max‐K. von & Michael Scheutzow. (2010). Existence and uniqueness of solutions of stochastic functional differential equations. Random Operators and Stochastic Equations. 18(3). 267–284. 39 indexed citations
13.
Blath, Jochen, et al.. (2009). Trends in Stochastic Analysis. Cambridge University Press eBooks. 32 indexed citations
14.
Mohammed, Salah-Eldin A. & Michael Scheutzow. (2003). The stable manifold theorem for non-linear stochastic systems with memory. I. Existence of the semiflow. Journal of Functional Analysis. 205(2). 271–305. 32 indexed citations
15.
Mohammed, Salah-Eldin A. & Michael Scheutzow. (2003). The stable manifold theorem for non-linear stochastic systems with memory. Journal of Functional Analysis. 206(2). 253–306. 19 indexed citations
16.
Weizsäcker, Heinrich von & Michael Scheutzow. (1998). Which moments of a logarithmic derivative imply quasiinvariance. Documenta Mathematica. 3. 261–272. 6 indexed citations
17.
Mohammed, Salah-Eldin A. & Michael Scheutzow. (1996). Lyapunov exponents of linear stochastic functional differential equations driven by semimartingales. Part I : the multiplicative ergodic theory. French digital mathematics library (Numdam). 32(1). 69–105. 22 indexed citations
18.
Scheutzow, Michael. (1995). An Integral Inequality and Its Application to a Problem of Stabilization by Noise. Journal of Mathematical Analysis and Applications. 193(1). 200–208. 6 indexed citations
19.
Pinsky, Ross G. & Michael Scheutzow. (1992). Some remarks and examples concerning the transience and recurrence of random diffusions. French digital mathematics library (Numdam). 28(4). 519–536. 35 indexed citations
20.
Scheutzow, Michael. (1988). Periods of Nonexpansive Operators on Finite l1-Spaces. European Journal of Combinatorics. 9(1). 73–81. 15 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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