Michael Naehrig

8.1k citations
22 papers · 2.1k indexed · 2 hit papers · h-index 12

Impact in

    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Cryptographic Implementations and Security
    • Adversarial Robustness in Machine Learning
    • Coding theory and cryptography
    • Cryptography and Residue Arithmetic

Papers in

    • Cryptography and Residue Arithmetic 11
    • Cryptography and Data Security 12
    • Coding theory and cryptography 7
    • Cryptographic Implementations and Security 6
    • Privacy-Preserving Technologies in Data 4

Michael Naehrig

22 papers receiving 2.0k citations

Hit Papers

CryptoNets: applying neural networks to encrypted data with high throughput and accuracy 2016 · 762 citations
7622011202620162021250500750

Peers

Michael Naehrig
Comparison fields: 5 of 85
  • Artificial Intelligence 1.9k
  • Information Systems 632
  • Health Informatics 27
  • Computer Vision and Pattern Recognition 385
  • Computational Theory and Mathematics 276
Replace Kim Laine with:
Kim Laine United States
Yupeng Zhang United States
Xingliang Yuan Australia
Seong Oun Hwang South Korea
Mariana Raykova United States
John Wernsing United States
Zhengan Huang China
Sarvar Patel United States
Sherman S. M. Chow Hong Kong
Baocang Wang China
Michael Naehrig relative to Kim Laine United States Kim Laine's profile →
Citations per field
00.5×10×15×17.7×
Kim Laine · 1×
Citations per year

Countries citing papers authored by Michael Naehrig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Naehrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201762
2 20174
3 20172
4
CryptoNets: applying neural networks to encrypted data with high throughput and accuracy
Hit paper breakdown →
2016762
5 2016133
6 2016109
7 2015145
8 201555
9 20152
10 201589
11
PandA: Pairings and Arithmetic
20142
12 2014153
13
Elliptic Curve Cryptography (ECC) Nothing Up My Sleeve (NUMS) Curves and Curve Generation
20144
14
Rigid Parameter Generation for Elliptic Curve Cryptography
20141
15
Can homomorphic encryption be practical?
Hit paper breakdown →
2011545
16 201129
17 20102
18 201020
19 20102
20 20093

About Michael Naehrig

Michael Naehrig is a scholar working on Information Systems, Artificial Intelligence, Geometry and Topology, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (12 papers), Cryptography and Residue Arithmetic (11 papers), Coding theory and cryptography (7 papers), Cryptographic Implementations and Security (6 papers), Algebraic Geometry and Number Theory (4 papers), Privacy-Preserving Technologies in Data (4 papers), Polynomial and algebraic computation (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (632 citations), Health Informatics (27 citations), Computer Vision and Pattern Recognition (385 citations) and Computational Theory and Mathematics (276 citations). Michael Naehrig has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Kristin Lauter, Vinod Vaikuntanathan, Ran Gilad-Bachrach, Nathan Dowlin, John Wernsing, Kim Laine, Joppe W. Bos, Craig Costello, Douglas Stebila and David J. Wu. Their work appears in journals such as Journal of Number Theory, Journal of Cryptographic Engineering, Journal of Systems and Software, Proceedings of the IEEE and Journal of Biomedical Informatics.

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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