Patrick McCorry

2.2k citations
8 papers · 430 · h-index 7

Impact in

Papers in

    • Blockchain Technology Applications and Security 3
    • Cryptography and Data Security 4
    • Internet Traffic Analysis and Secure E-voting 3
    • Privacy-Preserving Technologies in Data 1

Patrick McCorry

8 papers receiving 423 citations

Peers

Patrick McCorry
Comparison fields: 5 of 62
  • Information Systems 309
  • Human-Computer Interaction 61
  • Computer Networks and Communications 142
  • Artificial Intelligence 177
  • Computer Science Applications 27
Replace Stéphane Faulkner with:
Stéphane Faulkner Belgium
Scott Henninger United States
Leandro Krug Wives Brazil
Anton Jansen Netherlands
Margaret-Anne D. Storey Canada
Rodolfo Alfredo Bertone Argentina
Joerg Doerr Germany
Çiğdem Gencel Italy
Pascal Molli France
Naji Habra Belgium
Patrick McCorry relative to Stéphane Faulkner Belgium Stéphane Faulkner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick McCorry

Since Specialization
Citations

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

Fields of papers citing papers by Patrick McCorry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick McCorry, 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 Patrick McCorry Line = papers co-authored together Patrick McCorry links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019114
2 2017110
3 201492
4
Sprites: Payment Channels that Go Faster than Lightning.
201758
5 201731
6 202114
7 20219
8
Removing Trusted Tallying Authorities
20162

About Patrick McCorry

Patrick McCorry is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Communication and Signal Processing, having authored 8 papers that have together received 430 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Blockchain Technology Applications and Security (3 papers), Distributed systems and fault tolerance (2 papers), Privacy-Preserving Technologies in Data (1 paper), Social Media and Politics (1 paper), Advanced Authentication Protocols Security (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Information Systems (309 citations), Human-Computer Interaction (61 citations), Computer Networks and Communications (142 citations), Artificial Intelligence (177 citations) and Computer Science Applications (27 citations). Patrick McCorry has collaborated with scholars based in United Kingdom and Pakistan. Frequent co-authors include Yilei Wang, Amjad Aldweesh, Changyu Dong, Aad van Moorsel, Sarah Azouvi, Sarah Meiklejohn, George Danezis, Shehar Bano, Mustafa Al-Bassam and Alberto Sonnino. Their work appears in journals such as International Journal of Information Security, Computers & Security, Durham Research Online (Durham University), Warwick Research Archive Portal (University of Warwick) and arXiv (Cornell University).

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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