Johan Perols

1.8k citations
20 papers · 1.3k · h-index 10

Impact in

Papers in

    • Imbalanced Data Classification Techniques 9
    • Auditing, Earnings Management, Governance 7
    • Financial Distress and Bankruptcy Prediction 6

Johan Perols

18 papers receiving 1.2k citations

Peers

Johan Perols
Comparison fields: 5 of 85
  • Information Systems and Management 366
  • Accounting 471
  • Management Information Systems 228
  • Strategy and Management 281
  • Management Science and Operations Research 173
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Citations per year

Countries citing papers authored by Johan Perols

Since Specialization
Citations

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

Fields of papers citing papers by Johan Perols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Johan Perols, 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 Johan Perols Line = papers co-authored together Johan Perols links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008402
2 2011248
3 2010168
4 2016147
5 2012117
6 201273
7
Information Technology Continuance: A Theoretical Extension and Empirical Test
200739
8 201231
9 201826
10 200919
11 20087
12
The Relation between Earnings Management and Financial Statement Fraud
20104
13 20183
14 20153
15
Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms
20102
16 20242
17
Reducing Uncertainty in Supplier Selection Decisions: Antecedents and Outcomes of Procedural Rationality
20121
18
Information Market Based Decision Fusion.
20061
19 20240
20
Information Fusion in Continuous Assurance
20110

About Johan Perols

Johan Perols is a scholar working on Artificial Intelligence, Accounting, Management Science and Operations Research, Strategy and Management and Management Information Systems, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (9 papers), Auditing, Earnings Management, Governance (7 papers), Financial Distress and Bankruptcy Prediction (6 papers), Technology Adoption and User Behaviour (2 papers), Public Procurement and Policy (2 papers), Risk and Safety Analysis (2 papers), Auction Theory and Applications (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Information Systems and Management (366 citations), Accounting (471 citations), Management Information Systems (228 citations), Strategy and Management (281 citations) and Management Science and Operations Research (173 citations). Johan Perols has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Clive Sanford, Anol Bhattacherjee, Carsten Zimmermann, Barbara A. Lougee, S.C.J.J. Kortmann, Robert M. Bowen, Lutz Kaufmann, Uday S. Murthy, Kaushal Chari and Dahlia Robinson. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Operations Management, Auditing A Journal of Practice & Theory, Management Science and Managerial Auditing Journal.

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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