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 Canada. 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 Manish Agrawal 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Johan Perols	471	366	296	294	281	20	1.3k
Shaio Yan Huang	257 0.5×	223 0.6×	316 1.1×	236 0.8×	156 0.6×	46	901
Sury Ravindran	232 0.5×	456 1.2×	203 0.7×	160 0.5×	531 1.9×	14	1.4k
Feng Mai	570 1.2×	159 0.4×	522 1.8×	370 1.3×	414 1.5×	38	2.1k
Vicky Arnold	676 1.4×	354 1.0×	206 0.7×	119 0.4×	431 1.5×	79	1.8k
Aws Al-Okaily	171 0.4×	611 1.7×	207 0.7×	353 1.2×	264 0.9×	33	1.3k
Hailiang Chen	550 1.2×	124 0.3×	559 1.9×	159 0.5×	241 0.9×	56	1.8k
James L. Bierstaker	869 1.8×	327 0.9×	161 0.5×	118 0.4×	215 0.8×	56	1.4k
Brad Tuttle	656 1.4×	187 0.5×	151 0.5×	90 0.3×	252 0.9×	37	1.4k
Helen L. Brown‐Liburd	670 1.4×	156 0.4×	100 0.3×	118 0.4×	212 0.8×	29	1.3k

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

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20 of 20 papers shown

Perols, Johan, et al.. (2024). The impact of auditors creating flowcharts on auditors’ understanding of the flow of transactions and internal control evaluation. Managerial Auditing Journal. 39(7). 779–798.

Kortmann, S.C.J.J., et al.. (2024). How Digitization and Agile Methods Influence Corporate Venture Performance: An Organizational Information-Processing Perspective. IEEE Transactions on Engineering Management. 71. 11024–11038. 2 indexed citations

Dzuranin, Ann C., et al.. (2018). Huskie Motor Corporation: Visualizing the Present and Predicting theFuture. 3 indexed citations

Zhang, Yiyang, Johan Perols, Dahlia Robinson, & Thomas Smith. (2018). Earnings management strategies to maintain a string of meeting or beating analyst expectations. Advances in Accounting. 43. 46–55. 26 indexed citations

Perols, Johan, et al.. (2016). Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction. The Accounting Review. 92(2). 221–245. 147 indexed citations

Perols, Johan, et al.. (2015). Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction. SSRN Electronic Journal. 3 indexed citations

Kaufmann, Lutz, et al.. (2012). Reducing uncertainty in supplier selection decisions: Antecedents and outcomes of procedural rationality. Journal of Operations Management. 31(1-2). 24–36. 73 indexed citations

Kaufmann, Lutz, et al.. (2012). Reducing Uncertainty in Supplier Selection Decisions: Antecedents and Outcomes of Procedural Rationality. SSRN Electronic Journal. 1 indexed citations

Perols, Johan, Carsten Zimmermann, & S.C.J.J. Kortmann. (2012). On the relationship between supplier integration and time‐to‐market. Journal of Operations Management. 31(3). 153–167. 117 indexed citations

10.

Perols, Johan & Uday S. Murthy. (2012). Information Fusion in Continuous Assurance. Journal of Information Systems. 26(2). 35–52. 31 indexed citations

11.

Perols, Johan & Uday S. Murthy. (2011). Information Fusion in Continuous Assurance. Journal of the Association for Information Systems. 10.

12.

Perols, Johan. (2011). Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms. Auditing A Journal of Practice & Theory. 30(2). 19–50. 248 indexed citations

13.

Perols, Johan & Barbara A. Lougee. (2010). The Relation between Earnings Management and Financial Statement Fraud. SSRN Electronic Journal. 4 indexed citations

14.

Perols, Johan. (2010). Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms. SSRN Electronic Journal. 2 indexed citations

15.

Perols, Johan & Barbara A. Lougee. (2010). The relation between earnings management and financial statement fraud. Advances in Accounting. 27(1). 39–53. 168 indexed citations

16.

Perols, Johan, Kaushal Chari, & Manish Agrawal. (2009). Information Market-Based Decision Fusion. Management Science. 55(5). 827–842. 19 indexed citations

17.

Chari, Kaushal, Jacqueline L. Reck, & Johan Perols. (2008). Detecting financial statement fraud: three essays on fraud predictors, multi-classifier combination and fraud detection using data mining. 29(1-2). 35–68. 7 indexed citations

18.

Bhattacherjee, Anol, Johan Perols, & Clive Sanford. (2008). Information Technology Continuance: A Theoretic Extension and Empirical Test. Journal of Computer Information Systems. 49(1). 17–26. 402 indexed citations

19.

Bhattacherjee, Anol, Johan Perols, & Clive Sanford. (2007). Information Technology Continuance: A Theoretical Extension and Empirical Test. SSRN Electronic Journal. 39 indexed citations

20.

Perols, Johan, Kaushal Chari, & Manish Agrawal. (2006). Information Market Based Decision Fusion.. Journal of the Association for Information Systems. 13. 1 indexed citations

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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