David Arnott

3.5k citations
97 papers · 2.6k · h-index 21

Impact in

Papers in

David Arnott

90 papers receiving 2.3k citations

Peers

David Arnott
Comparison fields: 5 of 187
  • Management Information Systems 854
  • General Decision Sciences 68
  • Management Science and Operations Research 432
  • Information Systems and Management 237
  • Strategy and Management 337
Replace Paul E. Green with:
Paul E. Green United States
William L. Moore United States
Katerina C. Pramatari Greece
Reinhold Decker Germany
Chang Won Lee South Korea
Gary W. Dickson United States
Michael Bourlakis United Kingdom
Frank W. Huber Germany
Chun‐Ming Chang Taiwan
Shyam Sunder United States
David Arnott relative to Paul E. Green United States Paul E. Green's profile →
Citations per field
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Paul E. Green · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005393
2 2007298
3 2005272
4 2004205
5 2014140
6 201293
7 200488
8 198687
9 195783
10 201777
11
Evaluating the intangible benefits of Business Intelligence: review and research agenda
200455
12 201951
13 198647
14
Success Factors for Data Warehouse and Business Intelligence Systems
200834
15 197334
16 197432
17 199930
18 199828
19 200428
20 199624

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 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (32 papers), Information Systems Theories and Implementation (19 papers), Competitive and Knowledge Intelligence (14 papers), Data Quality and Management (12 papers), Complex Systems and Decision Making (11 papers), Information Technology Governance and Strategy (11 papers), Mechanical Behavior of Composites (9 papers) and Electronic Packaging and Soldering Technologies (6 papers). The work is most often cited by research in Management Information Systems (854 citations), General Decision Sciences (68 citations), Management Science and Operations Research (432 citations), Information Systems and Management (237 citations) and Strategy and Management (337 citations). David Arnott has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Graham Pervan, Shijia Gao, Andrew N. Rider, Yukio Kakuda, Cyriel Louis Duitschaever, Howard A. Morris, Ilona Jagielska, John M. deMan, Kenneth Mullen and Alan Richard 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 Journal of Information Technology.

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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