Dominik Britz

1.0k citations

37 papers · 744 indexed · h-index 14

Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals 7
Structural Biology top 10%
Mechanical Engineering top 5%
- Microstructure and Mechanical Properties of Steels 12
- Mineral Processing and Grinding 5
- Non-Destructive Testing Techniques 5
Industrial and Manufacturing Engineering top 5%
- Industrial Vision Systems and Defect Detection 5
Media Technology top 5%
Materials Chemistry
- Machine Learning in Materials Science 8
- Metal Alloys Wear and Properties 5
Biomedical Engineering
- Advanced Surface Polishing Techniques 6

Co-authors: Frank Mücklich Thorsten Staudt Michael Engstler Seyed Majid Azimi Mario Fritz Martin Müller María Agustina Guitar Elizabeth A. Holm
Cited by: Metals and Alloys Structural Biology Mechanical Engineering
Journals: Nature Communications (1 paper)Materials Science and Engineering A (1 paper)Metallurgical and Materials Transactions A (1 paper)
Partner nations: Germany Belgium United States

In The Last Decade

Dominik Britz

37 papers receiving 724 citations

Peers

Countries citing papers authored by Dominik Britz

Since Specialization

Citations

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

Fields of papers citing papers by Dominik Britz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dominik Britz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dominik Britz Line = papers co-authored together Dominik Britz links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques Metals ·Björn-Ivo Bachmann,Martin Müller,Marie Stiefel,Dominik Britz,Thorsten Staudt,Frank Mücklich	2024	1
2	Machine learning for the classification of macroscale fracture surfaces Practical Metallography ·Adrian Herges,Luca Ulrich,Stefan Scholl,Marcus Müller,Dominik Britz,Frank Mücklich	2023	2
3	Reproducible Quantification of the Microstructure of Complex Quenched and Quenched and Tempered Steels Using Modern Methods of Machine Learning Metals ·Björn-Ivo Bachmann,Martin Müller,Dominik Britz,Thorsten Staudt,Frank Mücklich	2023	5
4	Determination of grain size distribution of prior austenite grains through a combination of a modified contrasting method and machine learning Practical Metallography ·Marc Laub,Björn-Ivo Bachmann,Eric Detemple,Frederik Scherff,Thorsten Staudt,Martin Müller,Dominik Britz,Frank Mücklich,Christian Motz	2022	5
5	Microstructural analysis as a requirement for sinter-based additive manufacturing of highly conductive copper Practical Metallography ·Jonas Ott,Andreas Burghardt,Dominik Britz,Frank Mücklich	2022	1
6	Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy Frontiers in Materials ·Björn-Ivo Bachmann,Martin Müller,Dominik Britz,Ali Riza Durmaz,Marc Ackermann,Oleg Shchyglo,Thorsten Staudt,Frank Mücklich	2022	13
7	Qualitative and Quantitative Microstructural Analysis of Copper for Sintering Process Optimization in Additive Manufacturing Applications Practical Metallography ·Jonas Ott,Andreas Burghardt,Dominik Britz,S. Majauskaite,Frank Mücklich	2021	2
8	Image Processing using Open Source Tools and their Implementation in the Analysis of Complex Microstructures Practical Metallography ·U.P. Nayak,Martin Müller,Dominik Britz,María Agustina Guitar,Frank Mücklich	2021	8
9	Scale-bridging Microstructural Analysis – A Correlative Approach to Microstructure Quantification Combining Microscopic Images and EBSD Data Practical Metallography ·Matthias Müller,Dominik Britz,Frank Mücklich	2021	8
10	Particle encapsulation techniques for atom probe tomography of precipitates in microalloyed steels Ultramicroscopy ·Johannes Webel,Louis Weber,Emina Vardo,Dominik Britz,Tobias Kraus,Frank Mücklich	2021	2
11	A deep learning approach for complex microstructure inference Nature Communications ·Ali Riza Durmaz,Martin Müller,Bo Lei,Akhil Thomas,Dominik Britz,Elizabeth A. Holm,Christoph Eberl,Frank Mücklich,Peter Gumbsch	2021	81
12	Machine Learning for Microstructure Classification: How to Assign the Ground Truth in the Most Objective Way AM&P Technical Articles ·Martin Müller,Dominik Britz,Frank Mücklich	2021	10
13	Application of Trainable Segmentation to Microstructural Images Using Low-alloy Steels as an Example Practical Metallography ·Martin Müller,Dominik Britz,Frank Mücklich	2020	4
14	Segmentation of Lath-Like Structures via Localized Identification of Directionality in a Complex-Phase Steel Metallography Microstructure and Analysis ·Martin Müller,Gerd Stanke,U. Sonntag,Dominik Britz,Frank Mücklich	2020	3
15	The Effect of Thermal Processing and Chemical Composition on Secondary Carbide Precipitation and Hardness in High-Chromium Cast Irons International Journal of Metalcasting ·María Agustina Guitar,U.P. Nayak,Dominik Britz,Frank Mücklich	2020	33
16	Evaluation of the Etching Process for Analysis of Secondary Carbides in HCCI by Optical and Confocal Laser Microscopy Practical Metallography ·María Agustina Guitar,Anna Scheid,Dominik Britz,Frank Mücklich	2019	4
17	Advanced Steel Microstructure Classification by Deep Learning Methods Max Planck Digital Library ·Seyed Majid Azimi,Dominik Britz,Michael Engstler,Mario Fritz,Frank Mücklich	2018	169
18	A Correlative Approach to Capture and Quantify Substructures by Means of Image Registration Practical Metallography ·Dominik Britz,Johannes Webel,Jessica Gola,Frank Mücklich	2017	22
19	Effect of indentation temperature on nickel-titanium indentation-induced two-way shape-memory surfaces Materials Science and Engineering A ·Stephan A. Brinckmann,Mareike Frensemeier,Christopher Laursen,Hans Jürgen Maier,Dominik Britz,(unknown),Frank Mücklich,Carl P. Frick	2016	8
20	Opening the Door to Fundamental Understanding of Structure and Color Metallography - a Correlative Microscopy Study on Steel Microscopy and Microanalysis ·Dominik Britz,Andreas Hegetschweiler,Frank Mücklich	2014	4

About Dominik Britz

Dominik Britz is a scholar working on Structural Biology, Metals and Alloys and Mechanical Engineering, having authored 37 papers that have together received 744 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (12 papers), Machine Learning in Materials Science (8 papers), Hydrogen embrittlement and corrosion behaviors in metals (7 papers), Advanced Surface Polishing Techniques (6 papers), Metal Alloys Wear and Properties (5 papers), Mineral Processing and Grinding (5 papers), Non-Destructive Testing Techniques (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Metals and Alloys (142 citations), Structural Biology (28 citations) and Mechanical Engineering (465 citations). Dominik Britz has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Frank Mücklich, Thorsten Staudt, Michael Engstler, Seyed Majid Azimi, Mario Fritz, Martin Müller, María Agustina Guitar, Elizabeth A. Holm, Bo Lei and Peter Gumbsch. Their work appears in journals such as Nature Communications, Materials Science and Engineering A and Metallurgical and Materials Transactions A.

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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