Rafael Soares

409 citations
49 papers · 214 · h-index 8

Impact in

Papers in

    • Physical Unclonable Functions (PUFs) and Hardware Security 12
    • Embedded Systems Design Techniques 6
    • Parallel Computing and Optimization Techniques 5
    • Cryptographic Implementations and Security 18

Rafael Soares

32 papers receiving 201 citations

Peers

Rafael Soares
Comparison fields: 5 of 23
  • Hardware and Architecture 107
  • Computer Vision and Pattern Recognition 69
  • Artificial Intelligence 72
  • Computer Networks and Communications 45
  • Computational Theory and Mathematics 30
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Rafael Soares relative to Marco Donato United States Marco Donato's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rafael Soares

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Rafael Soares, 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 Rafael Soares Line = papers co-authored together Rafael Soares links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202234
2 202333
3 200728
4 200816
5 201114
6 200813
7 202211
8 20068
9 20097
10 20255
11 20244
12 20174
13 20144
14 20213
15 20223
16 20233
17 20223
18 20223
19 20242
20 20232

About Rafael Soares

Rafael Soares is a scholar working on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 49 papers that have together received 214 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (18 papers), Chaos-based Image/Signal Encryption (17 papers), Low-power high-performance VLSI design (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (12 papers), Embedded Systems Design Techniques (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Numerical Methods and Algorithms (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (107 citations), Computer Vision and Pattern Recognition (69 citations), Artificial Intelligence (72 citations), Computer Networks and Communications (45 citations) and Computational Theory and Mathematics (30 citations). Rafael Soares has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Ney Calazans, Eduardo Costa, Fernando Moraes, Sérgio Bampi, Guilherme Paim, Ewerson Carvalho, Philippe Maurine, Lionel Torres, Matheus T. Moreira and Victor Lomné. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Chaos Solitons & Fractals, Multimedia Tools and Applications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Electronic Testing.

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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