Brian Shand
Impact in
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- Peer-to-Peer Network Technologies
- Distributed systems and fault tolerance
- Advanced Database Systems and Queries
- Caching and Content Delivery
- Information Systems top 5%
- Cloud Data Security Solutions
Papers in
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- Security and Verification in Computing 10
- Cryptography and Data Security 4
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- Cloud Data Security Solutions 8
- Co-authors
- Jean Bacon (15 shared papers)Peter Pietzuch (13 shared papers)Nathan Dimmock (3 shared papers)David Eyers (11 shared papers)Jem Rashbass (4 shared papers)Matteo Migliavacca (8 shared papers)Georgios Lyratzopoulos (2 shared papers)Mark Nixon (1 shared paper)
- Journals
- Wireless Networks (1 paper)BMJ Open (1 paper)IEEE Network (1 paper)IEEE Pervasive Computing (1 paper)British Journal of General Practice (1 paper)
- Partner nations
- United KingdomNew ZealandPortugal
In The Last Decade
Brian Shand
22 papers receiving 655 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 358
- Information Systems 250
- Signal Processing 90
- Artificial Intelligence 264
- Sociology and Political Science 237
Countries citing papers authored by Brian Shand
This map shows the geographic impact of Brian Shand'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 Brian Shand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Shand more than expected).
Fields of papers citing papers by Brian Shand
This network shows the impact of papers produced by Brian Shand. 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 Brian Shand. The network helps show where Brian Shand may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Shand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 206 | |
| 2 | 2017 | 108 | |
| 3 | 2003 | 91 | |
| 4 | 2004 | 85 | |
| 5 | 2004 | 30 | |
| 6 | 2010 | 30 | |
| 7 | 2004 | 28 | |
| 8 | 2007 | 24 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 21 | |
| 11 | 2018 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2003 | 9 | |
| 14 | 2010 | 8 | |
| 15 | Enforcing User Privacy in Web Applications using Erlang | 2010 | 8 |
| 16 | 2010 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2009 | 6 | |
| 19 | 2009 | 3 | |
| 20 | 2021 | 2 |
About Brian Shand
Brian Shand is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 23 papers that have together received 730 indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Access Control and Trust (9 papers), Distributed systems and fault tolerance (8 papers), Cloud Data Security Solutions (8 papers), Advanced Malware Detection Techniques (4 papers), Cryptography and Data Security (4 papers), Peer-to-Peer Network Technologies (3 papers) and Personal Information Management and User Behavior (2 papers). The work is most often cited by research in Computer Networks and Communications (358 citations), Information Systems (250 citations), Signal Processing (90 citations), Artificial Intelligence (264 citations) and Sociology and Political Science (237 citations). Brian Shand has collaborated with scholars based in United Kingdom, New Zealand and Portugal. Frequent co-authors include Jean Bacon, Peter Pietzuch, Nathan Dimmock, David Eyers, Jem Rashbass, Matteo Migliavacca, Georgios Lyratzopoulos, Mark Nixon, Sean McPhail and Andrew Twigg. Their work appears in journals such as Wireless Networks, BMJ Open, IEEE Network, IEEE Pervasive Computing and British Journal of General Practice.
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.