Brian McBride

1.2k citations
11 papers · 628 indexed · h-index 5

Brian McBride

10 papers receiving 512 citations

Peers

Brian McBride
Comparison fields: 5 of 65
  • Information Systems 319
  • Artificial Intelligence 430
  • Computer Networks and Communications 240
  • Information Systems and Management 64
  • Management Information Systems 56
Replace Federico Michele Facca with:
Federico Michele Facca Italy
Arvid Heise Germany
Harold Lim United States
Andy Seaborne United States
Jacek Kopecký United Kingdom
Lucian Popa United States
Anastasia Dimou Belgium
Ken Moody United Kingdom
Micheł Scholl France
Hans Chalupsky United States
Brian McBride relative to Federico Michele Facca Italy Federico Michele Facca's profile →
Citations per field
00.5×1.5×2.5×
Federico Michele Facca · 1×
Citations per year

Countries citing papers authored by Brian McBride

Since Specialization
Citations

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

Fields of papers citing papers by Brian McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Brian McBride, 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 McBride Line = papers co-authored together Brian McBride links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20176
2 20171
3 20143
4 20101
5 20091
6 20068
7
Resource Description Framework (RDF) standard recommendation, World Wide Web Consortium
200431
8 2002352
9
Jena: implementing the RDF model and syntax specification
2001221
10 19991
11 19793

About Brian McBride

Brian McBride is a scholar working on Conservation, Information Systems and Geology, having authored 11 papers that have together received 628 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (3 papers), Semantic Web and Ontologies (3 papers), Library Science and Information Systems (2 papers), Research Data Management Practices (2 papers), Advanced Database Systems and Queries (2 papers), Data Quality and Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Information Systems (319 citations), Artificial Intelligence (430 citations) and Computer Networks and Communications (240 citations). Brian McBride has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Éric Miller, Dan Brickley, Dave Reynolds, Paul Shabajee, Brian J. Collins, Mark Dowson, Suleyman Uludag, Mark H. Butler, Ian Dickinson and Andy Seaborne. Their work appears in journals such as D-Lib Magazine, IEEE Internet Computing, Journal of Web Librarianship, British Journal of Educational Technology and Microprocessors and Microsystems.

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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