Daniel Kales

402 citations
10 papers · 87 indexed · h-index 6

Daniel Kales

10 papers receiving 85 citations

Peers

Daniel Kales
Comparison fields: 5 of 21
  • Artificial Intelligence 75
  • Computer Vision and Pattern Recognition 26
  • Hardware and Architecture 8
  • Information Systems 19
  • Computational Theory and Mathematics 8
Replace Abdelrahaman Aly with:
Abdelrahaman Aly Belgium
Simona Samardjiska Netherlands
Markus Schofnegger Austria
Daniel Apon United States
Alex J. Malozemoff United States
Thomas Espitau France
Arka Rai Choudhuri United States
Nina Bindel Germany
Christine van Vredendaal Netherlands
Charles Bouillaguet France
Daniel Kales relative to Abdelrahaman Aly Belgium Abdelrahaman Aly's profile →
Citations per field
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Abdelrahaman Aly · 1×
Citations per year

Countries citing papers authored by Daniel Kales

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Daniel Kales, 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 Daniel Kales Line = papers co-authored together Daniel Kales links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20225
2 20227
3 20221
4 20204
5 202017
6
Mobile Private Contact Discovery at Scale
201918
7 201912
8 20184
9 201711
10 20178

About Daniel Kales

Daniel Kales is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 10 papers that have together received 87 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 (5 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (2 papers), Quantum-Dot Cellular Automata (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (75 citations), Computer Vision and Pattern Recognition (26 citations) and Hardware and Architecture (8 citations). Daniel Kales has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Greg Zaverucha, Maria Eichlseder, Christian Rechberger, Christoph Dobraunig, Florian Mendel, Sebastian Ramacher, Christian Weinert, Thomas Schneider, Markus Schofnegger and A. Bruni. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, IACR Transactions on Cryptographic Hardware and Embedded Systems, Designs Codes and Cryptography, SHILAP Revista de lepidopterología and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

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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