Werner Schindler

2.8k citations
104 papers · 2.3k · h-index 26

Impact in

Papers in

Werner Schindler

91 papers receiving 2.2k citations

Peers

Werner Schindler
Comparison fields: 5 of 86
  • Hardware and Architecture 729
  • Artificial Intelligence 1.3k
  • Signal Processing 361
  • Computer Vision and Pattern Recognition 680
  • Electrochemistry 178
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Yasuyuki Nogami Japan
Christian Boit Germany
R. Baron United States
Kiat Seng Yeo Singapore
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Jaejin Lee South Korea
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Citations per field
00.5×5×10×14.0×
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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 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005374
2 2006136
3 2003116
4 2000103
5 200885
6 200369
7 200857
8 200956
9 199853
10 200552
11 200248
12 200847
13 199046
14 199745
15 200044
16 200144
17 198841
18 200239
19 200236
20 200435

About Werner Schindler

Werner Schindler is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 104 papers that have together received 2.3k 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 (15 papers), Surface and Thin Film Phenomena (14 papers), Physics of Superconductivity and Magnetism (13 papers), Molecular Junctions and Nanostructures (12 papers) and Security and Verification in Computing (9 papers). The work is most often cited by research in Hardware and Architecture (729 citations), Artificial Intelligence (1.3k citations), Signal Processing (361 citations), Computer Vision and Pattern Recognition (680 citations) and Electrochemistry (178 citations). Werner Schindler has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Christof Paar, Kerstin Lemke, Onur Acıiçmez, J. Kirschner, Çetin Kaya Koç, D.M. Hofmann, G. Saemann‐Ischenko, Marc Stöttinger, François Koeune and Wolfgang J. Lorenz. Their work appears in journals such as Surface Science, Journal of The Electrochemical Society, Journal of Cryptographic Engineering, Electrochimica Acta and Journal of Applied Physics.

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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