Keith Mayes

2.5k citations
88 papers · 1.1k · h-index 18

Impact in

Papers in

Keith Mayes

87 papers receiving 986 citations

Peers

Keith Mayes
Comparison fields: 5 of 76
  • Media Technology 266
  • Information Systems 540
  • Computer Networks and Communications 485
  • Signal Processing 164
  • Artificial Intelligence 354
Replace Konstantinos Markantonakis with:
Konstantinos Markantonakis United Kingdom
King-Hang Wang Taiwan
B. D. Deebak India
Tassos Dimitriou Greece
Karan Mitra Sweden
Tongqing Zhou China
Joaquín García-Alfaro France
Spyros Panagiotakis Greece
Junde Song China
Sarmad Ullah Khan Pakistan
Keith Mayes relative to Konstantinos Markantonakis United Kingdom Konstantinos Markantonakis's profile →
Citations per field
00.5×1.7×
Konstantinos Markantonakis · 1×
Citations per year

Countries citing papers authored by Keith Mayes

Since Specialization
Citations

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

Fields of papers citing papers by Keith Mayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keith Mayes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keith Mayes Line = papers co-authored together Keith Mayes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 200769
3 201052
4 201049
5 201746
6 200837
7 200437
8 200834
9 200933
10 201632
11 200926
12 201025
13 200724
14
NFC mobile payment with Citizen Digital Certificate
201121
15 200620
16 201419
17 201718
18 201018
19 201717
20 202117

About Keith Mayes

Keith Mayes is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Media Technology and Signal Processing, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include User Authentication and Security Systems (38 papers), Advanced Authentication Protocols Security (32 papers), RFID technology advancements (27 papers), Advanced Malware Detection Techniques (15 papers), Cryptographic Implementations and Security (13 papers), Digital Rights Management and Security (10 papers), Security and Verification in Computing (8 papers) and Chaos-based Image/Signal Encryption (6 papers). The work is most often cited by research in Media Technology (266 citations), Information Systems (540 citations), Computer Networks and Communications (485 citations), Signal Processing (164 citations) and Artificial Intelligence (354 citations). Keith Mayes has collaborated with scholars based in United Kingdom, France and Taiwan. Frequent co-authors include Konstantinos Markantonakis, Gerhard P. Hancke, Raja Naeem Akram, Lishoy Francis, Damien Sauveron, Serge Chaumette, Oussama Habachi, Michael Tunstall, Kim A.A. Hein and Leslie P. Francis. Their work appears in journals such as Future Generation Computer Systems, International Journal of Security and Networks, IEEE Internet of Things Journal, Computers & Security and Journal of African Earth Sciences.

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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