Brian Shand

1.3k citations
24 papers · 734 · h-index 12

Impact in

Papers in

Brian Shand

22 papers receiving 661 citations

Peers

Brian Shand
Comparison fields: 5 of 70
  • Computer Networks and Communications 358
  • Information Systems 250
  • Signal Processing 90
  • Artificial Intelligence 261
  • Sociology and Political Science 235
Replace John Žic with:
John Žic Australia
Karim Abouelmehdi Morocco
Lorenzo D. Martino United States
Marcelo de Almeida Maia Brazil
Luigi Lo Iacono Germany
Kamran Sartipi Canada
Ben Adida United States
Ignacio Sanchez Italy
Rolf Oppliger Switzerland
Brian Shand relative to John Žic Australia John Žic's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Shand

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003207
2 2017112
3 200391
4 200485
5 201030
6 200429
7 200428
8 200724
9 201421
10 201521
11 201817
12 201015
13 20039
14 20108
15
Enforcing User Privacy in Web Applications using Erlang
20108
16 20107
17 20146
18 20096
19 20093
20 20212

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 24 papers that have together received 734 indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Access Control and Trust (9 papers), Cloud Data Security Solutions (8 papers), Distributed systems and fault tolerance (8 papers), Cryptography and Data Security (4 papers), Advanced Malware Detection Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers) and Privacy-Preserving Technologies in Data (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 (261 citations) and Sociology and Political Science (235 citations). Brian Shand has collaborated with scholars based in United Kingdom, New Zealand and South Sudan. Frequent co-authors include Jean Bacon, Peter Pietzuch, Nathan Dimmock, David Eyers, Jem Rashbass, Matteo Migliavacca, Christian D. Jensen, Andrew Twigg, Karl Krukow and Yong Chen. Their work appears in journals such as Studies in Art Education, Wireless Networks, BMJ Open, British Journal of General Practice and IEEE Pervasive Computing.

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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