Andy Koronios

2.4k citations
110 papers · 1.7k · h-index 20

Impact in

Papers in

Andy Koronios

100 papers receiving 1.6k citations

Peers

Andy Koronios
Comparison fields: 5 of 129
  • Management Information Systems 784
  • Library and Information Sciences 76
  • Management Science and Operations Research 415
  • Information Systems and Management 222
  • Strategy and Management 400
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Citations per year

Countries citing papers authored by Andy Koronios

Since Specialization
Citations

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

Fields of papers citing papers by Andy Koronios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010326
2 2018100
3 201395
4 201883
5 201579
6 200778
7 200876
8 201673
9 201861
10 201060
11
Towards A Process View on Critical Success Factors in Big Data Analytics Projects
201551
12 201744
13 201533
14 201730
15
A Data Quality Model for Asset Management in Engineering Organisations.
200528
16
Everyday information behaviour of Asian immigrants in South Australia: a mixed-methods exploration
201528
17
Mobile Application Development for Senior Citizens
201027
18 200725
19 201422
20
Critical Competencies Required for the Role of the Modern CIO
200721

About Andy Koronios

Andy Koronios is a scholar working on Management Information Systems, Management Science and Operations Research, Information Systems, Information Systems and Management and Strategy and Management, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (38 papers), Data Quality and Management (35 papers), Information Technology Governance and Strategy (10 papers), Big Data Technologies and Applications (7 papers), Data Mining Algorithms and Applications (7 papers), Information Systems Theories and Implementation (6 papers), Competitive and Knowledge Intelligence (6 papers) and BIM and Construction Integration (6 papers). The work is most often cited by research in Management Information Systems (784 citations), Library and Information Sciences (76 citations), Management Science and Operations Research (415 citations), Information Systems and Management (222 citations) and Strategy and Management (400 citations). Andy Koronios has collaborated with scholars based in Australia, Malaysia and China. Frequent co-authors include William Yeoh, Saša Baškarada, Jing Peng Gao, Jia Tina Du, Abrar Haider, Jiwat Ram, Michael Lane, Dimitris Kiritsis, Christos Emmanouilidis and Robert M. Davison. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, Data Technologies and Applications, Information Research and Library & Information Science Research.

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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