Eik List

733 citations
43 papers · 450 · h-index 11

Impact in

Papers in

Eik List

37 papers receiving 442 citations

Peers

Eik List
Comparison fields: 5 of 19
  • Computer Vision and Pattern Recognition 305
  • Artificial Intelligence 431
  • Hardware and Architecture 73
  • Signal Processing 44
  • Computational Theory and Mathematics 19
Replace Chun Guo with:
Chun Guo China
Virginie Lallemand France
Jorge Nakahara Belgium
David Gérault United Arab Emirates
Yonglin Hao China
Kexin Qiao China
Krystian Matusiewicz Denmark
Nilanjan Datta India
Jie Guan China
Olivier Bronchain Belgium
Eik List relative to Chun Guo China Chun Guo's profile →
Citations per field
00.5×10×20×31×
Chun Guo · 1×
Citations per year

Countries citing papers authored by Eik List

Since Specialization
Citations

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

Fields of papers citing papers by Eik List

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 201875
3 201731
4 201730
5 201524
6 201714
7 201913
8 201813
9 201711
10 201911
11 201611
12 201710
13 20148
14 20178
15 20198
16 20188
17
Overview of the Candidates for the Password Hashing Competition - And their Resistance against Garbage-Collector Attacks.
20146
18 20206
19 20215
20 20145

About Eik List

Eik List is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 43 papers that have together received 450 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (36 papers), Coding theory and cryptography (23 papers), Chaos-based Image/Signal Encryption (23 papers), Cryptography and Data Security (11 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Advanced Malware Detection Techniques (5 papers), graph theory and CDMA systems (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Artificial Intelligence (431 citations), Hardware and Architecture (73 citations), Signal Processing (44 citations) and Computational Theory and Mathematics (19 citations). Eik List has collaborated with scholars based in Germany, India and Singapore. Frequent co-authors include Stefan Lucks, Jakob Wenzel, Mridul Nandi, Christian Forler, Christoph Dobraunig, Florian Mendel, Lorenzo Grassi, Maria Eichlseder, Christian Rechberger and Virginie Lallemand. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Lecture notes in computer science, Journal of Mathematical Cryptology, Cryptography and Communications and Designs Codes and Cryptography.

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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