Steffen Dereich

1.3k total citations
38 papers, 589 citations indexed

About

Steffen Dereich is a scholar working on Finance, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steffen Dereich has authored 38 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Finance, 13 papers in Mathematical Physics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steffen Dereich's work include Stochastic processes and financial applications (15 papers), Stochastic processes and statistical mechanics (10 papers) and Complex Network Analysis Techniques (7 papers). Steffen Dereich is often cited by papers focused on Stochastic processes and financial applications (15 papers), Stochastic processes and statistical mechanics (10 papers) and Complex Network Analysis Techniques (7 papers). Steffen Dereich collaborates with scholars based in Germany, United Kingdom and United States. Steffen Dereich's co-authors include Peter Mörters, Michael Scheutzow, Andreas Neuenkirch, Łukasz Szpruch, Thomas Müller-Gronbach, Klaus Ritter, Stefan Ankirchner, Peter Imkeller, Anis Matoussi and Frank Aurzada and has published in prestigious journals such as Neural Networks, SIAM Journal on Numerical Analysis and Journal of Statistical Physics.

In The Last Decade

Steffen Dereich

37 papers receiving 551 citations

Peers

Countries citing papers authored by Steffen Dereich

Since Specialization

Citations

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

Fields of papers citing papers by Steffen Dereich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Dereich

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	On the Existence of Minimizers in Shallow Residual ReLU Neural Network Optimization Landscapes 2024 ·SIAM Journal on Numerical Analysis ·Steffen Dereich, Arnulf Jentzen, (unknown)	3
2	On minimal representations of shallow ReLU networks 2022 ·Neural Networks ·Steffen Dereich, (unknown)	6
3	Cooling down stochastic differential equations: Almost sure convergence 2022 ·Stochastic Processes and their Applications ·Steffen Dereich, (unknown)	5
4	General multilevel adaptations for stochastic approximation algorithms of Robbins–Monro and Polyak–Ruppert type 2019 ·Numerische Mathematik ·Steffen Dereich, Thomas Müller-Gronbach	13
5	Local Neighbourhoods for First-Passage Percolation on the Configuration Model 2018 ·Journal of Statistical Physics ·Steffen Dereich, (unknown)	0
6	The Shape of the Emerging Condensate in Effective Models of Condensation 2018 ·Annales Henri Poincaré ·Volker Betz, Steffen Dereich, Peter Mörters	2
7	Real self-similar processes started from the origin 2017 ·MADOC (University of Mannheim) ·Steffen Dereich, Leif Döring, Andreas E. Kyprianou	16
8	Preferential attachment with fitness: unfolding the condensate 2016 ·Electronic Journal of Probability ·Steffen Dereich	6
9	PERSISTENCE PROBABILITIES FOR A BRIDGE OF AN INTEGRATED SIMPLE RANDOM WALK 2014 ·Frank Aurzada, Steffen Dereich, Mikhail Lifshits	1
10	Typical Distances in Ultrasmall Random Networks 2012 ·Advances in Applied Probability ·Steffen Dereich, Christian Mönch, Peter Mörters	10
11	Emergence of Condensation in Kingman’s Model of Selection and Mutation 2012 ·Acta Applicandae Mathematicae ·Steffen Dereich, Peter Mörters	10
12	Typical Distances in Ultrasmall Random Networks 2012 ·Advances in Applied Probability ·Steffen Dereich, Christian Mönch, Peter Mörters	4
13	A multilevel Monte Carlo algorithm for Lévy-driven stochastic differential equations 2011 ·Stochastic Processes and their Applications ·Steffen Dereich, (unknown)	27
14	An Euler-type method for the strong approximation of the Cox–Ingersoll–Ross process 2011 ·Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences ·Steffen Dereich, Andreas Neuenkirch, Łukasz Szpruch	75
15	Rough paths analysis of general Banach space-valued Wiener processes 2010 ·Journal of Functional Analysis ·Steffen Dereich	7
16	The High Resolution Vector Quantization Problem with Orlicz Norm Distortion 2010 ·Journal of Theoretical Probability ·Steffen Dereich, (unknown)	6
17	The Coding Complexity of Lévy Processes 2008 ·Foundations of Computational Mathematics ·Frank Aurzada, Steffen Dereich	2
18	The coding complexity of diffusion processes under supremum norm distortion 2007 ·Stochastic Processes and their Applications ·Steffen Dereich	6
19	Asymptotic behavior of the distortion-rate function for Gaussian processes in Banach spaces 2005 ·Bulletin des Sciences Mathématiques ·Steffen Dereich	3
20	High resolution coding of stochastic processes and small ball probabilities 2003 ·DepositOnce ·Steffen Dereich	13

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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