Michael Tunstall
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Michael Tunstall. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Tunstall may publish in the future.
Countries citing papers authored by Michael Tunstall
Since SpecializationCitations
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).
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