Jens-Peter Kaps

1.8k citations
45 papers · 751 · h-index 14

Impact in

Papers in

Jens-Peter Kaps

44 papers receiving 698 citations

Peers

Jens-Peter Kaps
Comparison fields: 5 of 31
  • Hardware and Architecture 338
  • Artificial Intelligence 495
  • Computer Vision and Pattern Recognition 310
  • Computer Networks and Communications 186
  • Signal Processing 58
Replace Paris Kitsos with:
Paris Kitsos Greece
Erdinç Öztürk Türkiye
Aydın Aysu United States
Akashi Satoh Japan
Naofumi Homma Japan
Yue Zheng Singapore
Frederik Armknecht Germany
Thomas Korak Austria
Sandeep S. Kumar Netherlands
Catherine H. Gebotys Canada
Jens-Peter Kaps relative to Paris Kitsos Greece Paris Kitsos's profile →
Citations per field
00.5×1.6×
Paris Kitsos · 1×
Citations per year

Countries citing papers authored by Jens-Peter Kaps

Since Specialization
Citations

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

Fields of papers citing papers by Jens-Peter Kaps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens-Peter Kaps. 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 Jens-Peter Kaps. The network helps show where Jens-Peter Kaps may publish in the future.

Co-authors

The 16 scholars most cited alongside Jens-Peter Kaps, 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 Jens-Peter Kaps Line = papers co-authored together Jens-Peter Kaps links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005150
2 200987
3 201168
4 201736
5 201036
6 200729
7 201326
8 201721
9 201019
10 201819
11 201118
12
Lightweight Implementations of SHA-3 Finalists on FPGAs
201217
13 201016
14 201814
15 201813
16 201713
17 201912
18 202112
19 201311
20 201811

About Jens-Peter Kaps

Jens-Peter Kaps is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 45 papers that have together received 751 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (35 papers), Chaos-based Image/Signal Encryption (28 papers), Physical Unclonable Functions (PUFs) and Hardware Security (24 papers), Coding theory and cryptography (7 papers), Advanced Malware Detection Techniques (5 papers), Cryptography and Data Security (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Hardware and Architecture (338 citations), Artificial Intelligence (495 citations), Computer Vision and Pattern Recognition (310 citations), Computer Networks and Communications (186 citations) and Signal Processing (58 citations). Jens-Peter Kaps has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Kris Gaj, Gunnar Gaubatz, Berk Sunar, Erdinç Öztürk, William Diehl, Xin Xin, Farnoud Farahmand, Marcin Rogawski, Ekawat Homsirikamol and D. Hwang. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Computer, Computers, Microprocessors and Microsystems 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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