David Arnott

3.4k citations
82 papers · 2.1k · h-index 20

Impact in

Papers in

David Arnott

76 papers receiving 1.9k citations

Peers

David Arnott
Comparison fields: 5 of 183
  • Management Information Systems 668
  • General Decision Sciences 65
  • Management Science and Operations Research 345
  • Information Systems and Management 190
  • Strategy and Management 286
Replace William L. Moore with:
William L. Moore United States
Paul E. Green United States
M. F. Smith United States
Katerina Pramatari Greece
Frank Hüber Germany
Reinhold Decker Germany
Chang Won Lee South Korea
Fernando Almeida Portugal
Mark T. Keane Ireland
Michael Bourlakis United Kingdom
David Arnott relative to William L. Moore United States William L. Moore's profile →
Citations per field
00.5×3.0×
William L. Moore · 1×
Citations per year

Countries citing papers authored by David Arnott

Since Specialization
Citations

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

Fields of papers citing papers by David Arnott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005330
2 2007243
3 2005232
4 2004186
5 2014114
6 201282
7 198677
8 195768
9 201765
10 200463
11
Evaluating the intangible benefits of Business Intelligence: review and research agenda
200450
12 201945
13 198640
14
Success Factors for Data Warehouse and Business Intelligence Systems
200833
15 197332
16 199929
17 200428
18 197425
19 199824
20 199622

About David Arnott

David Arnott is a scholar working on Management Information Systems, Management Science and Operations Research, Strategy and Management, Sociology and Political Science and Mechanics of Materials, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (24 papers), Competitive and Knowledge Intelligence (13 papers), Information Systems Theories and Implementation (13 papers), Complex Systems and Decision Making (9 papers), Mechanical Behavior of Composites (8 papers), Information Technology Governance and Strategy (8 papers), Data Quality and Management (7 papers) and Epoxy Resin Curing Processes (5 papers). The work is most often cited by research in Management Information Systems (668 citations), General Decision Sciences (65 citations), Management Science and Operations Research (345 citations), Information Systems and Management (190 citations) and Strategy and Management (286 citations). David Arnott has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Graham Pervan, Shijia Gao, Yukio Kakuda, Andrew N. Rider, C.L. Duitschaever, Howard A. Morris, Ilona Jagielska, Kenneth Mullen, J.M. deMan and A Wilson. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Dairy Science, Decision Support Systems, Journal of Decision System and The Journal of Adhesion.

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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