Brian King

740 citations
30 papers · 412 · h-index 12

Impact in

Papers in

Brian King

27 papers receiving 378 citations

Peers

Brian King
Comparison fields: 5 of 75
  • Information Systems 257
  • Management Information Systems 91
  • Strategy and Management 84
  • Media Technology 41
  • Computer Networks and Communications 88
Replace Matthew Springer with:
Matthew Springer Australia
J. Kontio Finland
Jorge Villalobos Colombia
Ben Amaba United States
Jessica Díaz Spain
Jan Höller Sweden
Manuel Sánchez Venezuela
Hamid Jahankhani United Kingdom
Muhammad Zawish Ireland
Salman Jan Malaysia
Brian King relative to Matthew Springer Australia Matthew Springer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian King

Since Specialization
Citations

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

Fields of papers citing papers by Brian King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 201735
3 201827
4 200020
5 200720
6
Mapping an Arbritrary Message to an Elliptic Curve When Defined over GF(2^n).
200916
7 201715
8 201414
9 200814
10 200613
11 200612
12 201212
13 20079
14 20167
15 20075
16
A Simple Secure M-Commerce Protocol SSMCP*
20074
17 20044
18
A Dynamic Threshold Decryption Scheme Using Bilinear Pairings
20153
19 20133
20 20063

About Brian King

Brian King is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Media Technology, having authored 30 papers that have together received 412 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Advanced Authentication Protocols Security (4 papers), Coding theory and cryptography (4 papers), Cryptography and Residue Arithmetic (4 papers), Chaos-based Image/Signal Encryption (4 papers), Blockchain Technology Applications and Security (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and RFID technology advancements (3 papers). The work is most often cited by research in Information Systems (257 citations), Management Information Systems (91 citations), Strategy and Management (84 citations), Media Technology (41 citations) and Computer Networks and Communications (88 citations). Brian King has collaborated with scholars based in United States. Frequent co-authors include Zhijie Li, John M. Wassick, Zina Ben Miled, Xiaolan Zhang, Paul Salama, Feng Jiang, Raj K. Narayan, Rajan Gupta, Sining Liu and Robert O’Neill. Their work appears in journals such as IEEE Internet of Things Journal, Big Data and Cognitive Computing, Surgical Clinics of North America, Mobile Networks and Applications and IET Information Security.

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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