Howard M. Heys

50 papers and 462 indexed citations i.

About

Howard M. Heys is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Howard M. Heys has authored 50 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 12 papers in Hardware and Architecture. Recurrent topics in Howard M. Heys’s work include Cryptographic Implementations and Security (36 papers), Chaos-based Image/Signal Encryption (30 papers) and Coding theory and cryptography (24 papers). Howard M. Heys is often cited by papers focused on Cryptographic Implementations and Security (36 papers), Chaos-based Image/Signal Encryption (30 papers) and Coding theory and cryptography (24 papers). Howard M. Heys collaborates with scholars based in Canada, United States and Finland. Howard M. Heys's co-authors include S.E. Tavares, Cheng Li, R. Venkatesan, Cheng Wang, Cecilia Moloney, Xueying Zhang, Xueying Zhang, Jiming Xu, Cheng Wang and Roberto Avanzi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Computers and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Howard M. Heys i

Fields of papers citing papers by Howard M. Heys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard M. Heys. 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 Howard M. Heys. The network helps show where Howard M. Heys may publish in the future.

Countries citing papers authored by Howard M. Heys

Since Specialization
Citations

This map shows the geographic impact of Howard M. Heys'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 Howard M. Heys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard M. Heys 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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2025