Daniel Masny

595 citations
21 papers · 405 · h-index 10

Impact in

Papers in

    • Cryptography and Data Security 18
    • Cryptographic Implementations and Security 14
    • Privacy-Preserving Technologies in Data 5
    • Coding theory and cryptography 4
    • Internet Traffic Analysis and Secure E-voting 2
    • Complexity and Algorithms in Graphs 8

Daniel Masny

21 papers receiving 393 citations

Peers

Daniel Masny
Comparison fields: 5 of 32
  • Artificial Intelligence 365
  • Computational Theory and Mathematics 142
  • Computer Vision and Pattern Recognition 79
  • Information Systems 83
  • Hardware and Architecture 21
Replace Lisa Kohl with:
Lisa Kohl Israel
Kunihiko Miyazaki Japan
Yasuhiro Ohtaki Japan
Tung‐Tso Tsai Taiwan
Dragos Rotaru Belgium
Ingo von Maurich Germany
Joost Rijneveld Netherlands
Peter C. Dillinger United States
Yiyuan Luo China
Daniel Masny relative to Lisa Kohl Israel Lisa Kohl's profile →
Citations per field
00.5×2×4×5.9×
Lisa Kohl · 1×
Citations per year

Countries citing papers authored by Daniel Masny

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Masny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201572
3 201339
4 202037
5 201435
6 201834
7 201625
8 201118
9 202012
10 20189
11 20199
12 20228
13 20237
14 20166
15 20165
16 20154
17 20212
18 20212
19 20222
20 20241

About Daniel Masny

Daniel Masny is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 405 indexed citations. Recurring topics across this work include Cryptography and Data Security (18 papers), Cryptographic Implementations and Security (14 papers), Complexity and Algorithms in Graphs (8 papers), Privacy-Preserving Technologies in Data (5 papers), Coding theory and cryptography (4 papers), Advanced Authentication Protocols Security (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). The work is most often cited by research in Artificial Intelligence (365 citations), Computational Theory and Mathematics (142 citations), Computer Vision and Pattern Recognition (79 citations), Information Systems (83 citations) and Hardware and Architecture (21 citations). Daniel Masny has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Eike Kiltz, Jiaxin Pan, Sanjam Garg, Vadim Lyubashevsky, Mohammad Hajiabadi, Nico Döttling, Silas Richelson, Siyao Guo, Alon Rosen and Andrej Bogdanov. Their work appears in journals such as Lecture notes in computer science, Theoretical Computer Science, IACR Transactions on Symmetric Cryptology and Proceedings on Privacy Enhancing Technologies.

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.

Explore authors with similar magnitude of impact