Andrew McGettrick

2.0k citations
64 papers · 1.3k · h-index 18

Impact in

Papers in

Andrew McGettrick

58 papers receiving 1.2k citations

Peers

Andrew McGettrick
Comparison fields: 5 of 84
  • Computer Science Applications 592
  • Media Technology 194
  • Information Systems 496
  • Software 51
  • Spectroscopy 210
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Mike Barnett United States
Derek Sleeman United Kingdom
Robert Cailliau Switzerland
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Neil C. C. Brown United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Andrew McGettrick

Since Specialization
Citations

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

Fields of papers citing papers by Andrew McGettrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006251
2
Computer Science Curriculum 2008: An Interim Revision of CS 2001
2008149
3 2007107
4 200596
5 200586
6 200858
7 200641
8 201339
9 201437
10 200732
11 200832
12
Dynamic trust models for ubiquitous computing environments
200230
13 202224
14 200324
15 201121
16 200820
17 200719
18 200517
19 200717
20 200914

About Andrew McGettrick

Andrew McGettrick is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Information Systems Education and Curriculum Development (20 papers), Teaching and Learning Programming (12 papers), Spectroscopy and Laser Applications (7 papers), Experimental Learning in Engineering (6 papers), Access Control and Trust (6 papers), Laser Design and Applications (5 papers), Open Education and E-Learning (4 papers) and VLSI and Analog Circuit Testing (4 papers). The work is most often cited by research in Computer Science Applications (592 citations), Media Technology (194 citations), Information Systems (496 citations), Software (51 citations) and Spectroscopy (210 citations). Andrew McGettrick has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include Gordon Davies, Peter J. Denning, Lillian Cassel, John Impagliazzo, Walter Johnstone, George Stewart, Kevin L. Duffin, Robert H. Sloan, Heikki Topi and Richard J. LeBlanc. Their work appears in journals such as Communications of the ACM, Journal of Lightwave Technology, IEEE Sensors Journal, Assessment & Evaluation in Higher Education and Quality in Higher Education.

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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