Tom Coffey

551 citations
33 papers · 314 · h-index 9

Impact in

Papers in

Tom Coffey

30 papers receiving 282 citations

Peers

Tom Coffey
Comparison fields: 5 of 32
  • Computer Networks and Communications 248
  • Information Systems 171
  • Artificial Intelligence 172
  • Signal Processing 16
  • Computational Theory and Mathematics 16
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Ben Smyth Luxembourg
Atsuo Inomata Japan
Jinhao Chen China
Adel Bouhoula Tunisia
Mohamed Nabeel United States
Meiyuan Zhao United States
Colin Parris United States
Petr Dzurenda Czechia
Safiullah Khan South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Tom Coffey

Since Specialization
Citations

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

Fields of papers citing papers by Tom Coffey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Tom Coffey, 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 Tom Coffey Line = papers co-authored together Tom Coffey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199671
2 201146
3 201132
4 199726
5 200317
6 200513
7 201411
8 200310
9 20139
10
Formal verification logic for hybrid security protocols.
20038
11 20038
12 20178
13 20087
14
On Different Approaches to Establish the Security of Cryptographic Protocols.
20036
15 20035
16 20085
17 20085
18 20034
19 20043
20 20033

About Tom Coffey

Tom Coffey is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (21 papers), User Authentication and Security Systems (18 papers), Cryptographic Implementations and Security (9 papers), Cryptography and Data Security (7 papers), Security in Wireless Sensor Networks (4 papers), Digital Rights Management and Security (3 papers), Access Control and Trust (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Information Systems (171 citations), Artificial Intelligence (172 citations), Signal Processing (16 citations) and Computational Theory and Mathematics (16 citations). Tom Coffey has collaborated with scholars based in Ireland and United States. Frequent co-authors include Anca Delia Jurcut, Fan Zhang, Thomas Newe, Ioan Salomie, Dorel Picovici, Abdulhussain E. Mahdi, Peter D. Burrows, Vasile Dădârlat and Weijun Wang. Their work appears in journals such as Computers & Security, Computer Networks, ACM SIGCOMM Computer Communication Review, ACM Transactions on Information and System Security and Computers & Electrical Engineering.

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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