Michael Tunstall

20 papers and 408 indexed citations i.

About

Michael Tunstall is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Michael Tunstall has authored 20 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Michael Tunstall’s work include Cryptographic Implementations and Security (14 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Malware Detection Techniques (6 papers). Michael Tunstall is often cited by papers focused on Cryptographic Implementations and Security (14 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Malware Detection Techniques (6 papers). Michael Tunstall collaborates with scholars based in United Kingdom, Ireland and France. Michael Tunstall's co-authors include David Naccache, Debdeep Mukhopadhyay, Sk Subidh Ali, William P. Marnane, Daniel Page, Konstantinos Markantonakis, Keith Mayes, Gerhard P. Hancke, Robert P. McEvoy and Colin C. Murphy and has published in prestigious journals such as Proceedings of the IEEE, Lecture notes in computer science and International Journal of Information Security.

In The Last Decade

Co-authorship network of co-authors of Michael Tunstall i

Fields of papers citing papers by Michael Tunstall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Tunstall

Since Specialization
Citations

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