Orlando Arias

About

Orlando Arias is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Orlando Arias has authored 7 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Hardware and Architecture. Recurrent topics in Orlando Arias’s work include Security and Verification in Computing (6 papers), Advanced Malware Detection Techniques (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Orlando Arias is often cited by papers focused on Security and Verification in Computing (6 papers), Advanced Malware Detection Techniques (5 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Orlando Arias collaborates with scholars based in United States, China and Germany. Orlando Arias's co-authors include Yier Jin, Dean Sullivan, Shaza Zeitouni, Ghada Dessouky, Ahmad‐Reza Sadeghi, Ahmad Ibrahim, Fahim Rahman, Mark Tehranipoor, Kejun Chen and Qingxu Deng and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

In The Last Decade

Co-authorship network of co-authors of Orlando Arias i

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Fields of papers citing papers by Orlando Arias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Orlando Arias

Since Specialization

Citations

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