Mathis Hoffmann

10 papers receiving 352 citations

Peers

Mathis Hoffmann
Comparison fields: 5 of 50
  • Renewable Energy, Sustainability and the Environment 115
  • Radiology, Nuclear Medicine and Imaging 139
  • Industrial and Manufacturing Engineering 62
  • Radiation 37
  • Computer Vision and Pattern Recognition 68
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Jing Meng China
Zhiyang Yao China
Yuxuan Chen China
Changcheng Gong China
Arslan Dawood Butt Pakistan
Siyi Ding China
Christian Faber Germany
Suhyeon Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mathis Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Mathis Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mathis Hoffmann, 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 Mathis Hoffmann Line = papers co-authored together Mathis Hoffmann links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2018185
2 201949
3 202145
4 202241
5 202120
6 20195
7 20235
8 20174
9 20193
10 20212
11
Geistiges Eigentum im virtuellen Raum
20071
12 20250
13 20210

About Mathis Hoffmann

Mathis Hoffmann is a scholar working on Renewable Energy, Sustainability and the Environment, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 13 papers that have together received 360 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advanced X-ray and CT Imaging (2 papers), Image Processing Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Technology, Environment, Urban Planning (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (115 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Industrial and Manufacturing Engineering (62 citations), Radiation (37 citations) and Computer Vision and Pattern Recognition (68 citations). Mathis Hoffmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Andreas Maier, Vincent Christlein, Tobias Würfl, Katharina Breininger, Mathias Unberath, Yixing Huang, Ian Marius Peters, Claudia Buerhop‐Lutz, Christoph J. Brabec and Jens Hauch. Their work appears in journals such as IEEE Journal of Photovoltaics, Progress in Photovoltaics Research and Applications, IEEE Transactions on Medical Imaging, Scientific Reports and Solar Energy Materials and Solar Cells.

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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