Lukas Mauch
Impact in
- Building and Construction top 10%
- Building Energy and Comfort Optimization
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 3
-
- Domain Adaptation and Few-Shot Learning 4
- Neural Networks and Applications 3
- Topic Modeling 2
- Co-authors
- Bin Yang (12 shared papers)Thomas Küstner (3 shared papers)Fabian Bamberg (3 shared papers)Sergios Gatidis (3 shared papers)Petros Martirosian (3 shared papers)Konstantin Nikolaou (3 shared papers)Fritz Schick (3 shared papers)Akira Nakamura (3 shared papers)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Journal of the Franklin Institute (1 paper)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Journal of Electronic Imaging (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- GermanyTaiwanUnited States
In The Last Decade
Lukas Mauch
18 papers receiving 411 citations
Peers
Comparison fields: 5 of 56
- Building and Construction 81
- Computer Vision and Pattern Recognition 97
- Industrial and Manufacturing Engineering 47
- Renewable Energy, Sustainability and the Environment 70
- Electrical and Electronic Engineering 203
Countries citing papers authored by Lukas Mauch
This map shows the geographic impact of Lukas Mauch'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 Lukas Mauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Mauch more than expected).
Fields of papers citing papers by Lukas Mauch
This network shows the impact of papers produced by Lukas Mauch. 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 Lukas Mauch. The network helps show where Lukas Mauch may publish in the future.
Co-authors
The 17 scholars most cited alongside Lukas Mauch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 152 | |
| 2 | 2017 | 72 | |
| 3 | 2018 | 71 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 17 | |
| 6 | Differentiable Quantization of Deep Neural Networks. | 2019 | 15 |
| 7 | 2020 | 12 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2023 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2019 | 1 |
About Lukas Mauch
Lukas Mauch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 18 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (4 papers), Neural Networks and Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers), Topic Modeling (2 papers), Advanced MRI Techniques and Applications (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Building and Construction (81 citations), Computer Vision and Pattern Recognition (97 citations), Industrial and Manufacturing Engineering (47 citations), Renewable Energy, Sustainability and the Environment (70 citations) and Electrical and Electronic Engineering (203 citations). Lukas Mauch has collaborated with scholars based in Germany, Taiwan and United States. Frequent co-authors include Bin Yang, Thomas Küstner, Fabian Bamberg, Sergios Gatidis, Petros Martirosian, Konstantin Nikolaou, Fritz Schick, Akira Nakamura, Stefan Uhlich and Fabien Cardinaux. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Journal of the Franklin Institute, Magnetic Resonance Materials in Physics Biology and Medicine, Journal of Electronic Imaging and HAL (Le Centre pour la Communication Scientifique Directe).
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.