Terence Bu‐Peow Ng

612 total citations
10 papers, 487 citations indexed

About

Terence Bu‐Peow Ng is a scholar working on Accounting, Information Systems and Management and Safety Research. According to data from OpenAlex, Terence Bu‐Peow Ng has authored 10 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Accounting, 3 papers in Information Systems and Management and 3 papers in Safety Research. Recurrent topics in Terence Bu‐Peow Ng's work include Auditing, Earnings Management, Governance (8 papers), Experimental Behavioral Economics Studies (3 papers) and Ethics in Business and Education (2 papers). Terence Bu‐Peow Ng is often cited by papers focused on Auditing, Earnings Management, Governance (8 papers), Experimental Behavioral Economics Studies (3 papers) and Ethics in Business and Education (2 papers). Terence Bu‐Peow Ng collaborates with scholars based in Singapore, Australia and Canada. Terence Bu‐Peow Ng's co-authors include Hun‐Tong Tan, El’fred Boo, Wendy Green, Roger Simnett, Vincent Hayward and Laeeque K. Daneshmend and has published in prestigious journals such as Journal of Business Ethics, The Accounting Review and Contemporary Accounting Research.

In The Last Decade

Terence Bu‐Peow Ng

10 papers receiving 454 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Terence Bu‐Peow Ng Singapore 8 423 152 96 71 52 10 487
Marietta Peytcheva United States 12 313 0.7× 64 0.4× 91 0.9× 36 0.5× 41 0.8× 33 424
Mario J. Maletta United States 11 674 1.6× 213 1.4× 154 1.6× 31 0.4× 29 0.6× 19 763
Michal Matějka United States 12 423 1.0× 137 0.9× 169 1.8× 106 1.5× 37 0.7× 33 564
Sandra Waller Shelton United States 11 369 0.9× 52 0.3× 112 1.2× 36 0.5× 46 0.9× 20 430
Marcus M. Doxey United States 10 463 1.1× 99 0.7× 124 1.3× 52 0.7× 35 0.7× 27 571
S. Jane Jollineau United States 10 294 0.7× 67 0.4× 95 1.0× 38 0.5× 28 0.5× 18 375
Steven T. Schwartz United States 10 296 0.7× 134 0.9× 67 0.7× 284 4.0× 62 1.2× 44 501
Kerry A. Humphreys Australia 8 195 0.5× 189 1.2× 127 1.3× 53 0.7× 22 0.4× 11 407
Karla M. Zehms United States 12 353 0.8× 61 0.4× 90 0.9× 30 0.4× 20 0.4× 32 408
Jeffrey W. Schatzberg United States 10 281 0.7× 59 0.4× 65 0.7× 212 3.0× 39 0.8× 19 462

Countries citing papers authored by Terence Bu‐Peow Ng

Since Specialization
Citations

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

Fields of papers citing papers by Terence Bu‐Peow Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terence Bu‐Peow Ng. 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 Terence Bu‐Peow Ng. The network helps show where Terence Bu‐Peow Ng may publish in the future.

Co-authorship network of co-authors of Terence Bu‐Peow Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Terence Bu‐Peow Ng. A scholar is included among the top collaborators of Terence Bu‐Peow Ng 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 Terence Bu‐Peow Ng. Terence Bu‐Peow Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Boo, El’fred, et al.. (2020). Effects of Advice on Auditor Whistleblowing Propensity: Do Advice Source and Advisor Reassurance Matter?. Journal of Business Ethics. 174(2). 387–402. 6 indexed citations
2.
Boo, El’fred, et al.. (2016). Effects of Incentive Scheme and Working Relationship on Whistle-Blowing in an Audit Setting. Auditing A Journal of Practice & Theory. 35(4). 23–38. 23 indexed citations
4.
Ng, Terence Bu‐Peow & Hun‐Tong Tan. (2007). Effects of Qualitative Factor Salience, Expressed Client Concern, and Qualitative Materiality Thresholds on Auditors' Audit Adjustment Decisions*. Contemporary Accounting Research. 24(4). 1171–1192. 51 indexed citations
5.
Ng, Terence Bu‐Peow. (2007). Auditors' Decisions on Audit Differences that Affect Significant Earnings Thresholds. Auditing A Journal of Practice & Theory. 26(1). 71–89. 33 indexed citations
6.
Ng, Terence Bu‐Peow & Hun‐Tong Tan. (2007). Effects of Qualitative Factor Salience, Expressed Client Concern, and Qualitative Materiality Thresholds on Auditors' Audit Adjustment Decisions. SSRN Electronic Journal. 17 indexed citations
7.
Ng, Terence Bu‐Peow & Hun‐Tong Tan. (2003). Effects of Authoritative Guidance Availability and Audit Committee Effectiveness on Auditors' Judgments in an Auditor-Client Negotiation Context. The Accounting Review. 78(3). 801–818. 245 indexed citations
8.
Hayward, Vincent, et al.. (2002). The evolutionary design of MCPL, the MSS command and programming language. 413–420. 1 indexed citations
9.
Tan, Hun‐Tong, et al.. (2002). The Effects of Task Complexity on Auditors' Performance: The Impact of Accountability and Knowledge. Auditing A Journal of Practice & Theory. 21(2). 81–95. 64 indexed citations
10.
Ng, Terence Bu‐Peow, Wendy Green, & Roger Simnett. (2001). The Effects of Fraud Risk and Management Representation on Auditors’ Hypothesis Generation. Abacus. 37(3). 352–368. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026