Werner Schindler

2.8k citations
106 papers · 2.2k · h-index 25

Impact in

Papers in

Werner Schindler

91 papers receiving 2.1k citations

Peers

Werner Schindler
Comparison fields: 5 of 87
  • Hardware and Architecture 697
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 655
  • Signal Processing 340
  • Electrochemistry 177
Replace Yasuyuki Nogami with:
Yasuyuki Nogami Japan
Eric Peeters Belgium
Kan Fu United States
R. Baron United States
T. Shibata Japan
Daisuke Suzuki Japan
Yanjun Ma United States
Jaejin Lee South Korea
JJ Johan Lukkien Netherlands
Hiroyuki Mizuno Japan
Werner Schindler relative to Yasuyuki Nogami Japan Yasuyuki Nogami's profile →
Citations per field
00.5×10×15.5×
Yasuyuki Nogami · 1×
Citations per year

Countries citing papers authored by Werner Schindler

Since Specialization
Citations

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

Fields of papers citing papers by Werner Schindler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Werner Schindler, 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 Werner Schindler Line = papers co-authored together Werner Schindler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005358
2 2006128
3 2003114
4 2000100
5 200880
6 200369
7 200955
8 200854
9 199852
10 200549
11 200247
12 199046
13 200045
14 200145
15 199745
16 200844
17 198841
18 200240
19 200436
20 200236

About Werner Schindler

Werner Schindler is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (37 papers), Chaos-based Image/Signal Encryption (23 papers), Physical Unclonable Functions (PUFs) and Hardware Security (19 papers), Magnetic properties of thin films (16 papers), Surface and Thin Film Phenomena (14 papers), Physics of Superconductivity and Magnetism (14 papers), Molecular Junctions and Nanostructures (12 papers) and Electrochemical Analysis and Applications (9 papers). The work is most often cited by research in Hardware and Architecture (697 citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (655 citations), Signal Processing (340 citations) and Electrochemistry (177 citations). Werner Schindler has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Christof Paar, Kerstin Lemke, Onur Acıiçmez, J. Kirschner, Çetin Kaya Koç, D.M. Hofmann, G. Saemann‐Ischenko, Marc Stöttinger, W.J. Lorenz and François Koeune. Their work appears in journals such as Surface Science, Journal of The Electrochemical Society, Journal of Cryptographic Engineering, Journal of Applied Physics and Electrochimica Acta.

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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