Kai Schramm

1.2k citations
11 papers · 94 indexed · h-index 5

Impact in

Papers in

Kai Schramm

8 papers receiving 82 citations

Peers

Kai Schramm
Comparison fields: 5 of 18
  • Hardware and Architecture 26
  • Media Technology 25
  • Artificial Intelligence 60
  • Signal Processing 16
  • Computer Networks and Communications 34
Replace Olivier Billet with:
Olivier Billet France
Erich Wenger Austria
Norbert Pramstaller Austria
Jens Hermans Belgium
Athanasios T. Karygiannis United States
Peter C. Dillinger United States
Yasuhiro Ohtaki Japan
Sebastiaan Indesteege Belgium
Jiqiang Lu Singapore
Frank Hoornaert Belgium
Kai Schramm relative to Olivier Billet France Olivier Billet's profile →
Citations per field
00.5×1.5×1.8×
Olivier Billet · 1×
Citations per year

Countries citing papers authored by Kai Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Kai Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Kai Schramm, 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 Kai Schramm Line = papers co-authored together Kai Schramm links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20105
2 20092
3 20075
4 200765
5
Pinpointing the Side-Channel Leakage of Masked CMOS Implementations
20061
6
Higher Order Masking of the AES
20060
7
A Collision-Attack on AES Combining Side Channel- and Differential-Attack
20044
8 20048
9
Eingebettete Sicherheit: State-of-the-art
20041
10
A New Class of Collision Attacks and its Application to DES
20031
11
DES Sidechannel Collision Attacks On Smartcard Implementations
20022

About Kai Schramm

Kai Schramm is a scholar working on Philosophy, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 11 papers that have together received 94 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers), Coding theory and cryptography (3 papers), Hermeneutics and Narrative Identity (3 papers), Health, Medicine and Society (3 papers), Aging, Elder Care, and Social Issues (3 papers), Advanced Authentication Protocols Security (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (26 citations), Media Technology (25 citations), Artificial Intelligence (60 citations), Signal Processing (16 citations) and Computer Networks and Communications (34 citations). Kai Schramm has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Christof Paar, Gregor Leander, Axel Pöschmann, Marko Wolf, Andy Rupp, Thomas Wollinger, Patrick Felke, Francesco Regazzoni, André Weimerskirch and Marco Macchetti. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series and SAE International journal of passenger cars. Electronic and electrical systems.

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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