Oscar Reparaz

18 papers and 147 indexed citations i.

About

Oscar Reparaz is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Oscar Reparaz has authored 18 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Hardware and Architecture. Recurrent topics in Oscar Reparaz’s work include Cryptographic Implementations and Security (7 papers), Advanced Malware Detection Techniques (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Oscar Reparaz is often cited by papers focused on Cryptographic Implementations and Security (7 papers), Advanced Malware Detection Techniques (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Oscar Reparaz collaborates with scholars based in Belgium, United Kingdom and The Netherlands. Oscar Reparaz's co-authors include Ingrid Verbauwhede, Begül Bilgin, Fréderik Vercauteren, Josep Balasch, Sujoy Sinha Roy, Svetla Nikova⋆, Ventzislav Nikov, Angshuman Karmakar, Vincent Rijmen and Patrick Longa and has published in prestigious journals such as IEEE Transactions on Computers, Lecture notes in computer science and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Co-authorship network of co-authors of Oscar Reparaz i

Fields of papers citing papers by Oscar Reparaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oscar Reparaz

Since Specialization
Citations

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

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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