Patrick Mikalef

16.3k citations
128 papers · 9.7k · 16 hit papers · h-index 44

Impact in

Papers in

Patrick Mikalef

126 papers receiving 9.1k citations

Patrick Mikalef's Hit Papers

Responsible artificial intelligence governance: A review and research framework 2025 · 43 citations
430+3+6Years since publication200400600

Peers

Patrick Mikalef
Comparison fields: 5 of 158
  • Management Information Systems 3.7k
  • Strategy and Management 3.5k
  • Health Informatics 271
  • Information Systems and Management 1.2k
  • Marketing 1.4k
Replace Shahriar Akter with:
Shahriar Akter Australia
Mohammad Iranmanesh Malaysia
Shivam Gupta France
Morteza Ghobakhloo Sweden
Sheshadri Chatterjee India
Alexander Benlian Germany
Helmut Krcmar Germany
Samuel Fosso Wamba France
Arun Rai United States
Uthayasankar Sivarajah United Kingdom
Patrick Mikalef relative to Shahriar Akter Australia Shahriar Akter's profile →
Citations per field
00.5×1.5×2.3×
Shahriar Akter · 1×
Citations per year

Countries citing papers authored by Patrick Mikalef

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Mikalef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA
Hit paper breakdown →
2016734
2
Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance
Hit paper breakdown →
2021688
3
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities
Hit paper breakdown →
2019636
4
Big data analytics capabilities: a systematic literature review and research agenda
Hit paper breakdown →
2017551
5
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment
Hit paper breakdown →
2019538
6
The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies
Hit paper breakdown →
2020477
7
Big data analytics and firm performance: Findings from a mixed-method approach
Hit paper breakdown →
2019440
8
Artificial intelligence in information systems research: A systematic literature review and research agenda
Hit paper breakdown →
2021410
9
Artificial Intelligence and Business Value: a Literature Review
Hit paper breakdown →
2021403
10
The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance
Hit paper breakdown →
2021253
11
Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies
Hit paper breakdown →
2018250
12
Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities
Hit paper breakdown →
2020221
13
Thinking responsibly about responsible AI and ‘the dark side’ of AI
Hit paper breakdown →
2022198
14 2013175
15 2020170
16 2020146
17 2019141
18 2019139
19 2020128
20 2021124

About Patrick Mikalef

Patrick Mikalef is a scholar working on Management Information Systems, Sociology and Political Science, Strategy and Management, Information Systems and Management and Industrial and Manufacturing Engineering, having authored 128 papers that have together received 9.7k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (56 papers), Technology Adoption and User Behaviour (19 papers), Innovation and Knowledge Management (18 papers), Digital Marketing and Social Media (16 papers), Digital Transformation in Industry (15 papers), Information Technology Governance and Strategy (13 papers), Competitive and Knowledge Intelligence (12 papers) and Qualitative Comparative Analysis Research (8 papers). The work is most often cited by research in Management Information Systems (3.7k citations), Strategy and Management (3.5k citations), Health Informatics (271 citations), Information Systems and Management (1.2k citations) and Marketing (1.4k citations). Patrick Mikalef has collaborated with scholars based in Norway, Greece and United Kingdom. Frequent co-authors include John Krogstie, Ilias O. Pappas, Adamantia Pateli, Michail N. Giannakos, Manjul Gupta, George Lekakos, Maria Boura, Kieran Conboy, Eivind Kristoffersen and Jingyue Li. Their work appears in journals such as Journal of the Association for Information Systems, Information & Management, Information Systems Frontiers, Journal of Business Research and International Journal of Information Management.

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.

Explore authors with similar magnitude of impact