Stefan Sandfeld

1.7k total citations
70 papers, 1.2k citations indexed

About

Stefan Sandfeld is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Stefan Sandfeld has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Materials Chemistry, 31 papers in Mechanical Engineering and 28 papers in Mechanics of Materials. Recurrent topics in Stefan Sandfeld's work include Microstructure and mechanical properties (36 papers), Metal and Thin Film Mechanics (12 papers) and Machine Learning in Materials Science (11 papers). Stefan Sandfeld is often cited by papers focused on Microstructure and mechanical properties (36 papers), Metal and Thin Film Mechanics (12 papers) and Machine Learning in Materials Science (11 papers). Stefan Sandfeld collaborates with scholars based in Germany, France and United Kingdom. Stefan Sandfeld's co-authors include Michael Zaiser, Peter Gumbsch, Thomas Hochrainer, Ronghai Wu, Hengxu Song, Stefano Zapperi, Xiaoming Liu, Yueguang Wei, Zoe Budrikis and Jianqiao Hu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Acta Materialia.

In The Last Decade

Stefan Sandfeld

64 papers receiving 1.1k citations

Peers

Countries citing papers authored by Stefan Sandfeld

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Sandfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Sandfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Sandfeld. A scholar is included among the top collaborators of Stefan Sandfeld 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 Stefan Sandfeld. Stefan Sandfeld 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	Digital Transformation in Materials Science: A User Journey of Nanoindentation, Image Analysis and Simulations 2025 ·Data Science Journal ·(unknown), Sarath Menon, (unknown), (unknown), (unknown), Steffen Brinckmann, Tilmann Hickel, Tim Dahmen, Volker Hofmann, Stefan Sandfeld, Ruth Schwaiger	0
2	Unsupervised learning of nanoindentation data to infer microstructural details of complex materials 2024 ·Frontiers in Materials ·Chen Zhang, (unknown), Stefan Sandfeld, Ruth Schwaiger	2
3	Accurate distances measures and machine learning of the texture-property relation for crystallographic textures represented by one-point statistics 2024 ·Modelling and Simulation in Materials Science and Engineering ·(unknown), (unknown), Norbert Link, Stefan Sandfeld, Dirk Helm	1
4	Machine learning for structure-guided materials and process design 2024 ·Materials & Design ·(unknown), (unknown), (unknown), Stefan Sandfeld, Norbert Link, Dirk Helm	7
5	Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy 2024 ·(unknown), (unknown), Stefan Sandfeld	3
6	Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network 2023 ·steel research international ·(unknown), (unknown), Stefan Sandfeld, (unknown), (unknown), (unknown), (unknown), Sebastian Münstermann	4
7	Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evolution 2023 ·Modelling and Simulation in Materials Science and Engineering ·(unknown), (unknown), Markus Stricker, Nina Gunkelmann, D. Weygand, Stefan Sandfeld	2
8	Automated analysis of X-ray topography of 4H-SiC wafers: Image analysis, numerical computations, and artificial intelligence approaches for locating and characterizing screw dislocations 2023 ·Journal of materials research/Pratt's guide to venture capital sources ·(unknown), (unknown), A.N. Danilewsky, (unknown), Peter J. Wellmann, Stefan Sandfeld	2
9	Prevention of Bunched Basal Plane Dislocation Arrays in 4H-SiC PVT-Growth 2023 ·Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena ·(unknown), (unknown), Stefan Sandfeld, Peter J. Wellmann	2
10	Sintering of alumina nanoparticles: comparison of interatomic potentials, molecular dynamics simulations, and data analysis 2022 ·Modelling and Simulation in Materials Science and Engineering ·(unknown), Aruna Prakash, Stefan Sandfeld	5
11	Consortium Proposal NFDI-MatWerk 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Christoph Eberl, (unknown), Erik Bitzek, Tim Dahmen, Felix Fritzen, Peter Gumbsch, (unknown), (unknown), Frank Mücklich, Matthias Müller, Jörg Neugebauer, (unknown), (unknown), Harald Sack, Stefan Sandfeld, Ruth Schwaiger, Philipp Slusallek, Rainer Stotzka, Achim Streit, (unknown)	0
12	Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity 2019 ·Scientific Reports ·Jianqiao Hu, Hengxu Song, Zhanli Liu, Zhuo Zhuang, Xiaoming Liu, Stefan Sandfeld	23
13	Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars 2019 ·SHILAP Revista de lepidopterología ·Stefan Sandfeld, Vahid Samaee, Hosni Idrissi, Jonas Groten, Thomas Pardoen, Ruth Schwaiger, D. Schryvers	2
14	Chances and Challenges in Fusing Data Science with Materials Science 2018 ·Practical Metallography ·Aruna Prakash, Stefan Sandfeld	12
15	Shear relaxation behind the shock front in 110 molybdenum – From the atomic scale to continuous dislocation fields 2018 ·Computational Materials Science ·Roman Kositski, (unknown), Stefan Sandfeld, Dan Mordehai	15
16	Universal features of amorphous plasticity 2017 ·Nature Communications ·Zoe Budrikis, (unknown), Stefan Sandfeld, Michael Zaiser, Stefano Zapperi	66
17	Propagating compaction bands in confined compression of snow 2016 ·Nature Physics ·(unknown), Jane R. Blackford, (unknown), Stefan Sandfeld, Tim Stratford, (unknown), Michael Zaiser	50
18	Deformation Patterns and Surface Morphology in a Minimal Model of Amorphous Plasticity 2016 ·Stefan Sandfeld, Michael Zaiser	7
19	Pattern formation in a minimal model of continuum dislocation plasticity 2015 ·Modelling and Simulation in Materials Science and Engineering ·Stefan Sandfeld, Michael Zaiser	41
20	A link between microstructure evolution and macroscopic response in elasto-plasticity: Formulation and numerical approximation of the higher-dimensional continuum dislocation dynamics theory 2015 ·International Journal of Plasticity ·Stefan Sandfeld, (unknown), Christian Wieners	25

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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