Jan Sölter

2.4k total citations · 2 hit papers
9 papers, 1.4k citations indexed

About

Jan Sölter is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Sölter has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hardware and Architecture, 4 papers in Electrical and Electronic Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Sölter's work include Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Machine Learning in Healthcare (2 papers). Jan Sölter is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Machine Learning in Healthcare (2 papers). Jan Sölter collaborates with scholars based in Germany, United States and Israel. Jan Sölter's co-authors include Ulrich Rührmair, Gideon Dror, Frank Sehnke, Jürgen Schmidhuber, Srinivas Devadas, Xiaolin Xu, Ahmed Khairy Mahmoud, Wayne Burleson, Periklis Papadopoulos and Friedrich Kremer and has published in prestigious journals such as Medical Image Analysis, IEEE Transactions on Information Forensics and Security and Colloid & Polymer Science.

In The Last Decade

Jan Sölter

9 papers receiving 1.4k citations

Hit Papers

Modeling attacks on physical unclonable functions 2010 2026 2015 2020 2010 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Sölter Germany 9 1.2k 1.0k 615 236 117 9 1.4k
Lesley Shannon Canada 18 549 0.5× 386 0.4× 24 0.0× 67 0.3× 28 0.2× 79 998
Masoud Rostami United States 10 710 0.6× 657 0.6× 295 0.5× 183 0.8× 160 1.4× 19 1.1k
Nikolaos Papandreou Switzerland 20 191 0.2× 1.3k 1.2× 111 0.2× 275 1.2× 20 0.2× 66 1.6k
Mottaqiallah Taouil Netherlands 21 376 0.3× 1.4k 1.4× 335 0.5× 153 0.6× 24 0.2× 157 1.6k
Kyoung-Rok Cho South Korea 16 131 0.1× 842 0.8× 365 0.6× 83 0.4× 77 0.7× 102 1.1k
Steven P. Levitan United States 20 223 0.2× 851 0.8× 34 0.1× 165 0.7× 12 0.1× 134 1.3k
Wen Zhou China 15 95 0.1× 597 0.6× 310 0.5× 235 1.0× 24 0.2× 49 1.1k
Jason Luu Canada 13 929 0.8× 997 1.0× 13 0.0× 60 0.3× 12 0.1× 20 1.2k
Mohammed Ashraf United States 11 395 0.3× 386 0.4× 149 0.2× 143 0.6× 41 0.4× 31 552
Seong‐Wan Kim South Korea 12 127 0.1× 219 0.2× 78 0.1× 13 0.1× 166 1.4× 45 648

Countries citing papers authored by Jan Sölter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan Sölter

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Sölter. A scholar is included among the top collaborators of Jan Sölter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Sölter. Jan Sölter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cruz, Beatriz García Santa, Matías Nicolás Bossa, Jan Sölter, & Andreas Husch. (2021). Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem. Medical Image Analysis. 74. 102225–102225. 44 indexed citations
2.
Cruz, Beatriz García Santa, Matías Nicolás Bossa, Jan Sölter, & Andreas Husch. (2021). Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem. medRxiv. 23 indexed citations
3.
Rührmair, Ulrich & Jan Sölter. (2014). PUF modeling attacks: an introduction and overview. Design, Automation, and Test in Europe. 1–6. 52 indexed citations
4.
Rührmair, Ulrich & Jan Sölter. (2014). PUF modeling attacks: An introduction and overview. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–6. 14 indexed citations
5.
Rührmair, Ulrich & Jan Sölter. (2014). PUF modeling attacks: An introduction and overview. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–6. 62 indexed citations
6.
Rührmair, Ulrich, Jan Sölter, Frank Sehnke, et al.. (2013). PUF Modeling Attacks on Simulated and Silicon Data. IEEE Transactions on Information Forensics and Security. 8(11). 1876–1891. 448 indexed citations breakdown →
7.
Rührmair, Ulrich, Frank Sehnke, Jan Sölter, et al.. (2010). Modeling attacks on physical unclonable functions. mediaTUM (Technical University of Munich). 237–249. 681 indexed citations breakdown →
8.
Papadopoulos, Periklis, Jan Sölter, & Friedrich Kremer. (2008). Hierarchies in the structural organization of spider silk—a quantitative model. Colloid & Polymer Science. 287(2). 231–236. 49 indexed citations
9.
Papadopoulos, Periklis, Jan Sölter, & Friedrich Kremer. (2007). Structure-property relationships in major ampullate spider silk as deduced from polarized FTIR spectroscopy. The European Physical Journal E. 24(2). 193–199. 53 indexed citations

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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