Ricardo Dahab

2.7k total citations
58 papers, 707 citations indexed

About

Ricardo Dahab is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ricardo Dahab has authored 58 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Ricardo Dahab's work include Cryptography and Data Security (22 papers), Cryptographic Implementations and Security (12 papers) and Coding theory and cryptography (11 papers). Ricardo Dahab is often cited by papers focused on Cryptography and Data Security (22 papers), Cryptographic Implementations and Security (12 papers) and Coding theory and cryptography (11 papers). Ricardo Dahab collaborates with scholars based in Brazil, United Kingdom and United States. Ricardo Dahab's co-authors include Julio López, Leonardo B. Oliveira, Diego F. Aranha, Michael Scott, Antônio A. F. Loureiro, Leonardo B. Oliveira, Hao Chi Wong, Marshall Bern, Luiz Cláudio Navarro and Anderson Rocha and has published in prestigious journals such as IEEE Transactions on Computers, Signal Processing and IEEE Transactions on Reliability.

In The Last Decade

Ricardo Dahab

51 papers receiving 655 citations

Peers

Countries citing papers authored by Ricardo Dahab

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Dahab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Dahab

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Dahab. A scholar is included among the top collaborators of Ricardo Dahab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricardo Dahab. Ricardo Dahab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Detecting Cryptography Misuses With Machine Learning: Graph Embeddings, Transfer Learning and Data Augmentation in Source Code Related Tasks	IEEE Transactions on Reliability	Ricardo Dahab et al.	2
2	Evaluation of CRYSTALS-Kyber and Saber on the ARMv8 architecture		Julio López, Ricardo Dahab et al.	2
3	The Ring-LWE Problem in Lattice-Based Cryptography: The Case of Twisted Embeddings	Entropy	Diego F. Aranha, Sueli I. R. Costa et al.	9
4	Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source Code		Ricardo Dahab et al.	3
5	High-performance Implementation of Elliptic Curve Cryptography Using Vector Instructions	ACM Transactions on Mathematical Software	Armando Faz-Hernández, Julio López et al.	20
6	Understanding How to Use Static Analysis Tools for Detecting Cryptography Misuse in Software	IEEE Transactions on Reliability	Ricardo Dahab, Nuno Antunes et al.	12
7	Isogeny formulas for Jacobi intersection and twisted hessian curves	Advances in Mathematics of Communications	Julio López, Ricardo Dahab et al.	3
8	Leveraging ontologies and machine-learning techniques for malware analysis into Android permissions ecosystems	Computers & Security	Luiz Cláudio Navarro, André Grégio et al.	25
9	A Longitudinal and Retrospective Study on How Developers Misuse Cryptography in Online Communities		Ricardo Dahab et al.	4
10	Practical Evaluation of Static Analysis Tools for Cryptography: Benchmarking Method and Case Study		Ricardo Dahab, Nuno Antunes et al.	11
11	LWE-based identification schemes		Ricardo Dahab et al.	4
12	Regarding Timeliness In The Context Of Fair Exchange	Scopus	Ricardo Dahab et al.	7
13	A Custom Instruction Approach for Hardware and Software Implementations of Finite Field Arithmetic over $$\mathbb{F}_{{2^{{163}} }} $$ using Gaussian Normal Bases	The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology	Guido Araújo, Julio López et al.	4
14	Identity-Based Encryption for Sensor Networks		Leonardo B. Oliveira, Ricardo Dahab et al.	34
15	RAWVec – A Method for Watermarking Vector Maps		Ricardo Dahab et al.	2
16	Tutte's 3-flow conjecture and matchings in bipartite graphs	Web Science	Ricardo Dahab et al.	2
17	SecLEACH – A Random Key Distribution Solution for Securing Clustered Sensor Networks		Leonardo B. Oliveira, Hao Chi Wong et al.	24
18	Two approaches for pay-per-use software construction		Ricardo Dahab et al.	3
19	Blinded-key signatures		Lucas C. F. Ferreira, Ricardo Dahab	6
20	Tutte's 3-flow Conjecture and Matchings in Bipartite Graphs	Electronic Notes in Discrete Mathematics	Ricardo Dahab et al.	2

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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