David A. McMeekin

526 citations
53 papers · 305 indexed · h-index 11
Topics
Geographic Information Systems Studies (13 papers)Semantic Web and Ontologies (9 papers)Software Engineering Research (8 papers)
Partner nations
AustraliaCanadaSri Lanka

In The Last Decade

David A. McMeekin

47 papers receiving 288 citations

Peers

David A. McMeekin
Comparison fields: 5 of 86
  • Cognitive Neuroscience 63
  • Information Systems 59
  • Artificial Intelligence 54
  • Geography, Planning and Development 45
  • Signal Processing 45
Replace Lucio Ieronutti with:
Lucio Ieronutti Italy
Teresa Romão Portugal
John Maeda United States
Daniel C. Cliburn United States
Athanasios Manitsaris Greece
Muhammad Faisal Cheema Pakistan
Enkhbold Nyamsuren Netherlands
Rob Ingram United Kingdom
Lingyun Yu China
Alan J. Wecker Israel
David A. McMeekin relative to Lucio Ieronutti Italy Lucio Ieronutti's profile →
Citations per field
00.5×10×15×18.5×
Lucio Ieronutti · 1×
Citations per year

Countries citing papers authored by David A. McMeekin

Since Specialization
Citations

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

Fields of papers citing papers by David A. McMeekin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. McMeekin. 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 David A. McMeekin. The network helps show where David A. McMeekin may publish in the future.

Co-authorship network of co-authors of David A. McMeekin

This figure shows the co-authorship network connecting the top 25 collaborators of David A. McMeekin. A scholar is included among the top collaborators of David A. McMeekin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. McMeekin. David A. McMeekin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 23
5 13
6 6
7 23
8
Gamifying Information System Testing-Qualitative Validation through Focus Group Discussion.
1
9 6
10 10
11 3
12
Gamification of Information System Testing - Design Consideration through Focus Group Discussion
1
13 4
14 1
15 2
16 0
17 1
18 36
19 16
20 7

About David A. McMeekin

David A. McMeekin is a scholar working on Geography, Planning and Development, Software and Geology, having authored 53 papers that have together received 305 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (13 papers), Semantic Web and Ontologies (9 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Geography, Planning and Development (45 citations), Human-Computer Interaction (36 citations) and Geology (34 citations). David A. McMeekin has collaborated with scholars based in Australia, Canada and Sri Lanka. Frequent co-authors include Erik Champion, Tele Tan, Brian R. von Konsky, Iain Murray, Hafizur Rahaman, Aneesh Krishna, Hoe Lee, Petra Helmholz, Mafkereseb Kassahun Bekele and Lesley M. Arnold. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Association for Information Systems and International Journal of Human-Computer Studies.

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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