Johan Perols

1.8k total citations
20 papers, 1.3k citations indexed

About

Johan Perols is a scholar working on Artificial Intelligence, Accounting and Management Science and Operations Research. According to data from OpenAlex, Johan Perols has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Accounting and 5 papers in Management Science and Operations Research. Recurrent topics in Johan Perols's work include Imbalanced Data Classification Techniques (9 papers), Auditing, Earnings Management, Governance (7 papers) and Financial Distress and Bankruptcy Prediction (6 papers). Johan Perols is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Auditing, Earnings Management, Governance (7 papers) and Financial Distress and Bankruptcy Prediction (6 papers). Johan Perols collaborates with scholars based in United States, Germany and Netherlands. Johan Perols's co-authors include Anol Bhattacherjee, Clive Sanford, Carsten Zimmermann, Barbara A. Lougee, S.C.J.J. Kortmann, Robert M. Bowen, Lutz Kaufmann, Uday S. Murthy, Kaushal Chari and Yiyang Zhang and has published in prestigious journals such as Management Science, Journal of Operations Management and The Accounting Review.

In The Last Decade

Johan Perols

18 papers receiving 1.2k citations

Peers

Johan Perols
Comparison fields: 5 of 85
  • Accounting 471
  • Information Systems and Management 366
  • Sociology and Political Science 296
  • Artificial Intelligence 294
  • Strategy and Management 281
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Citations per field, relative to Johan Perols
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Citations per year, relative to Johan Perols
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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-authorship network of co-authors of Johan Perols

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Perols. A scholar is included among the top collaborators of Johan Perols based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johan Perols. Johan Perols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 3
4 26
5 147
6 3
7 73
8
Reducing Uncertainty in Supplier Selection Decisions: Antecedents and Outcomes of Procedural Rationality
1
9 117
10 31
11
Information Fusion in Continuous Assurance
0
12 248
13
The Relation between Earnings Management and Financial Statement Fraud
4
14
Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms
2
15 168
16 19
17 7
18 402
19
Information Technology Continuance: A Theoretical Extension and Empirical Test
39
20
Information Market Based Decision Fusion.
1

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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