Heinrich Braun
- Artificial Intelligence top 1%
- Neural Networks and Applications 3
- Signal Processing top 2%
- Environmental Engineering top 5%
-
- Semiconductor Quantum Structures and Devices 8
-
- GaN-based semiconductor devices and materials 8
-
- Medical Imaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
-
- Nanowire Synthesis and Applications 3
-
- Metal and Thin Film Mechanics 2
-
- Optimal Power Flow Distribution 2
- Co-authors
- Martin RiedmillerUlrich T. SchwarzShin‐ichi NagahamaKazunobu KojimaTakashi MukaiLoi Lei LaiEmily R. PeritoJennifer L. Dodge
- Journals
- Applied Physics Letters (2 papers)Physics in Medicine and Biology (2 papers)IEEE Access (1 paper)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Heinrich Braun
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 1.1k
- Signal Processing 331
- Computer Vision and Pattern Recognition 534
- Control and Systems Engineering 381
- Environmental Engineering 157
Countries citing papers authored by Heinrich Braun
This map shows the geographic impact of Heinrich Braun'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 Heinrich Braun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinrich Braun more than expected).
Fields of papers citing papers by Heinrich Braun
This network shows the impact of papers produced by Heinrich Braun. 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 Heinrich Braun. The network helps show where Heinrich Braun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heinrich Braun, 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 | 2025 | 0 | |
| 2 | 2016 | 32 | |
| 3 | 2015 | 14 | |
| 4 | 2010 | 12 | |
| 5 | 2009 | 0 | |
| 6 | 2009 | 1 | |
| 7 | 2008 | 12 | |
| 8 | 2007 | 6 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 4 | |
| 11 | 2007 | 3 | |
| 12 | 2007 | 50 | |
| 13 | 2006 | 5 | |
| 14 | 2005 | 15 | |
| 15 | 2005 | 31 | |
| 16 | A direct adaptive method for faster backpropagation learning: the RPROP algorithmbreakdown → | 2002 | 2574 |
| 17 | 2002 | 1 | |
| 18 | 1997 | 10 | |
| 19 | 1996 | 1 | |
| 20 | RPROP - a fast adaptive learning algorithm | 1993 | 167 |
About Heinrich Braun
Heinrich Braun is a scholar working on General Energy, Condensed Matter Physics, Transplantation, Energy Engineering and Power Technology and Atomic and Molecular Physics, and Optics, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (8 papers), GaN-based semiconductor devices and materials (8 papers), Medical Imaging Techniques and Applications (3 papers), Neural Networks and Applications (3 papers), Nanowire Synthesis and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Metal and Thin Film Mechanics (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (331 citations), Computer Vision and Pattern Recognition (534 citations), Control and Systems Engineering (381 citations) and Environmental Engineering (157 citations). Heinrich Braun has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Martin Riedmiller, Ulrich T. Schwarz, Shin‐ichi Nagahama, Kazunobu Kojima, Takashi Mukai, Loi Lei Lai, Emily R. Perito, Jennifer L. Dodge, Sue Rhee and John P. Roberts. Their work appears in journals such as Applied Physics Letters, Physics in Medicine and Biology, IEEE Access, Journal of Applied Physics and American Journal of Transplantation.
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.