Guilherme Perin

1.2k citations
28 papers · 417 indexed · h-index 12

Guilherme Perin

26 papers receiving 405 citations

Peers

Guilherme Perin
Comparison fields: 5 of 60
  • Hardware and Architecture 178
  • Signal Processing 158
  • Artificial Intelligence 339
  • Computer Vision and Pattern Recognition 136
  • Information Systems 45
Replace Annelie Heuser with:
Annelie Heuser France
D. Hwang United States
R.B. Lee United States
Louis Wingers United States
Daniel Page United Kingdom
Seokhie Hong South Korea
Leif Uhsadel Belgium
Kaan Kara Switzerland
Ahmet Can Mert Türkiye
Ekaterina Gonina United States
Guilherme Perin relative to Annelie Heuser France Annelie Heuser's profile →
Citations per field
00.5×3.5×
Annelie Heuser · 1×
Citations per year

Countries citing papers authored by Guilherme Perin

Since Specialization
Citations

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

Fields of papers citing papers by Guilherme Perin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20243
4 20241
5 20241
6 20237
7 20236
8 20231
9 20232
10 20233
11 202312
12 202256
13 202257
14 202227
15 202174
16 202025
17 20152
18 20121
19 201115
20 200913

About Guilherme Perin

Guilherme Perin is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 28 papers that have together received 417 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (23 papers), Advanced Malware Detection Techniques (10 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Cryptography and Residue Arithmetic (8 papers), Coding theory and cryptography (5 papers), Chaos-based Image/Signal Encryption (4 papers), Digital Media Forensic Detection (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Hardware and Architecture (178 citations), Signal Processing (158 citations) and Artificial Intelligence (339 citations). Guilherme Perin has collaborated with scholars based in Netherlands, Germany and Brazil. Frequent co-authors include Stjepan Picek, Lichao Wu, Łukasz Chmielewski, Lejla Batina, Luca Mariot, Lionel Torres, Philippe Maurine, Laurent Imbert, Huimin Li and Shivam Bhasin. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptographic Engineering, IEEE Transactions on Emerging Topics in Computing, ACM Computing Surveys and IEEE Transactions on Dependable and Secure Computing.

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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