Jan Sölter
Impact in
- Hardware and Architecture top 0.5%
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Neuroscience and Neural Engineering
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 2
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- Physical Unclonable Functions (PUFs) and Hardware Security 5
- Co-authors
- Ulrich Rührmair (5 shared papers)Srinivas Devadas (2 shared papers)Gideon Dror (2 shared papers)Frank Sehnke (2 shared papers)Jürgen Schmidhuber (2 shared papers)Ahmed Khairy Mahmoud (1 shared paper)Xiaolin Xu (1 shared paper)Wayne Burleson (1 shared paper)
- Journals
- The European Physical Journal E (1 paper)Colloid & Polymer Science (1 paper)Medical Image Analysis (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Design, Automation, and Test in Europe (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Jan Sölter
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Hardware and Architecture 1.2k
- Cellular and Molecular Neuroscience 615
- Electrical and Electronic Engineering 1.0k
- Biophysics 94
- Health Informatics 16
Countries citing papers authored by Jan Sölter
This map shows the geographic impact of Jan Sölter'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 Jan Sölter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Sölter more than expected).
Fields of papers citing papers by Jan Sölter
This network shows the impact of papers produced by Jan Sölter. 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 Jan Sölter. The network helps show where Jan Sölter may publish in the future.
Co-authors
The 13 scholars most cited alongside Jan Sölter, 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 | Modeling attacks on physical unclonable functions Hit paper breakdown → | 2010 | 681 |
| 2 | PUF Modeling Attacks on Simulated and Silicon Data Hit paper breakdown → | 2013 | 448 |
| 3 | 2014 | 62 | |
| 4 | 2007 | 53 | |
| 5 | 2014 | 52 | |
| 6 | 2008 | 49 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 23 | |
| 9 | 2014 | 14 |
About Jan Sölter
Jan Sölter is a scholar working on Health Informatics, Hardware and Architecture, Biophysics, Biomaterials and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Cell Image Analysis Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Silk-based biomaterials and applications (2 papers), Machine Learning in Healthcare (2 papers) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Hardware and Architecture (1.2k citations), Cellular and Molecular Neuroscience (615 citations), Electrical and Electronic Engineering (1.0k citations), Biophysics (94 citations) and Health Informatics (16 citations). Jan Sölter has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Ulrich Rührmair, Srinivas Devadas, Gideon Dror, Frank Sehnke, Jürgen Schmidhuber, Ahmed Khairy Mahmoud, Xiaolin Xu, Wayne Burleson, Friedrich Kremer and Periklis Papadopoulos. Their work appears in journals such as The European Physical Journal E, Colloid & Polymer Science, Medical Image Analysis, IEEE Transactions on Information Forensics and Security and Design, Automation, and Test in Europe.
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.