Matthew Gamble

905 citations
14 papers · 482 · h-index 8

Impact in

Papers in

Matthew Gamble

14 papers receiving 454 citations

Peers

Matthew Gamble
Comparison fields: 5 of 55
  • Information Systems and Management 321
  • Information Systems 299
  • Management Science and Operations Research 84
  • Computer Networks and Communications 153
  • Artificial Intelligence 156
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Jan Brase Germany
Mark Delderfield United Kingdom
Pinar Alper United Kingdom
R. Stevens United Kingdom
Helena Deus United States
Amir Aryani Australia
Sam Coppens Belgium
Maria Cláudia Cavalcanti Brazil
Victor Tan United Kingdom
Shirley Cohen United States
Matthew Gamble relative to Jan Brase Germany Jan Brase's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew Gamble

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011239
2 201579
3 201062
4 201137
5 200715
6 200811
7 201110
8 201210
9 20146
10
Standing on the shoulders of the trusted web: Trust, Scholarship and Linked Data
20104
11
Quality vs. Trust of Scientific Data on the Web: Towards a Joint Model
20113
12
A checklist-based approach for quality assessment of scientific information
20133
13 20152
14 20141

About Matthew Gamble

Matthew Gamble is a scholar working on Information Systems and Management, Artificial Intelligence, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 14 papers that have together received 482 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (9 papers), Semantic Web and Ontologies (8 papers), Research Data Management Practices (6 papers), Biomedical Text Mining and Ontologies (4 papers), Data Quality and Management (3 papers), Distributed and Parallel Computing Systems (2 papers), Cloud Data Security Solutions (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Information Systems and Management (321 citations), Information Systems (299 citations), Management Science and Operations Research (84 citations), Computer Networks and Communications (153 citations) and Artificial Intelligence (156 citations). Matthew Gamble has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Carole Goble, Sean Bechhofer, Paolo Missier, Jiten Bhagat, Danius Michaelides, Shoaib Sufi, Stuart Owen, Don Cruickshank, Iain Buchan and John Ainsworth. Their work appears in journals such as Future Generation Computer Systems, Journal of Web Semantics, SSRN Electronic Journal, Research Explorer (The University of Manchester) and Web Science.

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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