Kevin Moffitt

2.1k total citations · 2 hit papers
22 papers, 1.3k citations indexed

About

Kevin Moffitt is a scholar working on Accounting, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Kevin Moffitt has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Accounting, 8 papers in Management Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Kevin Moffitt's work include Auditing, Earnings Management, Governance (8 papers), Deception detection and forensic psychology (5 papers) and Big Data and Business Intelligence (4 papers). Kevin Moffitt is often cited by papers focused on Auditing, Earnings Management, Governance (8 papers), Deception detection and forensic psychology (5 papers) and Big Data and Business Intelligence (4 papers). Kevin Moffitt collaborates with scholars based in United States, Netherlands and Switzerland. Kevin Moffitt's co-authors include Miklos A. Vasarhelyi, J. Donald Warren, Paul Byrnes, Andrea Rozario, Mary B. Burns, Judee K. Burgoon, Sean L. Humpherys, Marco Schreyer, Justin Scott Giboney and Vernon J. Richardson and has published in prestigious journals such as Decision Support Systems, Journal of the Association for Information Systems and Accounting Horizons.

In The Last Decade

Kevin Moffitt

22 papers receiving 1.2k citations

Hit Papers

How Big Data Will Change Accounting 2015 2026 2018 2022 2015 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Moffitt United States 14 553 494 283 264 244 22 1.3k
Helen L. Brown‐Liburd United States 15 406 0.7× 670 1.4× 186 0.7× 118 0.4× 217 0.9× 29 1.3k
James L. Bierstaker United States 17 391 0.7× 869 1.8× 149 0.5× 118 0.4× 134 0.5× 56 1.4k
Diane J. Janvrin United States 23 805 1.5× 882 1.8× 200 0.7× 101 0.4× 151 0.6× 71 1.8k
Deniz Appelbaum United States 13 676 1.2× 417 0.8× 297 1.0× 149 0.6× 274 1.1× 28 1.2k
Stewart A. Leech Australia 16 725 1.3× 392 0.8× 98 0.3× 63 0.2× 148 0.6× 40 1.2k
Brad Tuttle United States 18 619 1.1× 656 1.3× 190 0.7× 90 0.3× 166 0.7× 37 1.4k
Glen L. Gray United States 20 935 1.7× 1.0k 2.1× 219 0.8× 131 0.5× 152 0.6× 39 1.8k
Nir Vulkan United Kingdom 15 451 0.8× 255 0.5× 92 0.3× 170 0.6× 243 1.0× 45 1.1k
J. Efrim Boritz Canada 21 615 1.1× 886 1.8× 227 0.8× 232 0.9× 195 0.8× 103 1.5k
Abeer F. Alkhwaldi Jordan 22 313 0.6× 139 0.3× 215 0.8× 247 0.9× 60 0.2× 41 992

Countries citing papers authored by Kevin Moffitt

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Moffitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Moffitt

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Moffitt. A scholar is included among the top collaborators of Kevin Moffitt 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 Kevin Moffitt. Kevin Moffitt 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
1.
Schreyer, Marco, et al.. (2024). Artificial intelligence co-piloted auditing. International Journal of Accounting Information Systems. 54. 100698–100698. 15 indexed citations
2.
Vasarhelyi, Miklos A., et al.. (2023). Large Language Models: An Emerging Technology in Accounting. Journal of Emerging Technologies in Accounting. 20(2). 1–10. 24 indexed citations
3.
Schreyer, Marco, et al.. (2023). Artificial Intelligence Co-Piloted Auditing. SSRN Electronic Journal. 26 indexed citations
4.
Schreyer, Marco, et al.. (2023). Deep Learning Augmented Risk-Based Auditing. SSRN Electronic Journal. 2 indexed citations
5.
Moffitt, Kevin, et al.. (2019). Did the banking sector foresee the financial crisis? Evidence from risk factor disclosures. Review of Quantitative Finance and Accounting. 55(2). 647–669. 12 indexed citations
7.
Moffitt, Kevin, et al.. (2019). Contract Analytics in Auditing. Accounting Horizons. 33(3). 111–126. 36 indexed citations
8.
Moffitt, Kevin. (2018). A Framework for Legacy Source Code Audit Analytics. Journal of Emerging Technologies in Accounting. 15(2). 67–75. 4 indexed citations
9.
Moffitt, Kevin, Andrea Rozario, & Miklos A. Vasarhelyi. (2018). Robotic Process Automation for Auditing. Journal of Emerging Technologies in Accounting. 15(1). 1–10. 238 indexed citations breakdown →
10.
Moffitt, Kevin, et al.. (2016). Perspectives on Past and Future AIS Research as the Journal of Information Systems Turns Thirty. SSRN Electronic Journal. 11 indexed citations
11.
Moffitt, Kevin, et al.. (2016). Perspectives on Past and Future AIS Research as the Journal of Information Systems Turns Thirty. Journal of Information Systems. 30(3). 157–171. 29 indexed citations
12.
Liu, Yue & Kevin Moffitt. (2016). Text Mining to Uncover the Intensity of SEC Comment Letters and Its Association with the Probability of 10-K Restatement. Journal of Emerging Technologies in Accounting. 13(1). 85–94. 16 indexed citations
13.
Burgoon, Judee K., et al.. (2015). Which Spoken Language Markers Identify Deception in High-Stakes Settings? Evidence From Earnings Conference Calls. Journal of Language and Social Psychology. 35(2). 123–157. 60 indexed citations
14.
Burns, Mary B. & Kevin Moffitt. (2014). Automated deception detection of 911 call transcripts. 3(1). 24 indexed citations
15.
Pickard, Matthew D., Mary B. Burns, & Kevin Moffitt. (2013). A Theoretical Justification for Using Embodied Conversational Agents (ECAs) to Augment Accounting-Related Interviews. Journal of Information Systems. 27(2). 159–176. 17 indexed citations
16.
Moffitt, Kevin & Miklos A. Vasarhelyi. (2013). AIS in an Age of Big Data. Journal of Information Systems. 27(2). 1–19. 113 indexed citations
17.
Humpherys, Sean L., Kevin Moffitt, Aaron Elkins, Judee K. Burgoon, & Jay F. Nunamaker. (2010). Rapid Noncontact Credibility Assessment via Linguistic/Vocalic Analyses. 1 indexed citations
18.
Twyman, Nathan W., et al.. (2010). Using Eye Tracking Technology as a Concealed Information Test. 5 indexed citations
19.
Humpherys, Sean L., et al.. (2010). Identification of fraudulent financial statements using linguistic credibility analysis. Decision Support Systems. 50(3). 585–594. 250 indexed citations
20.
Moffitt, Kevin & Mary B. Burns. (2009). What Does That Mean? Investigating Obfuscation and Readability Cues as Indicators of Deception in Fraudulent Financial Reports. Journal of the Association for Information Systems. 399. 18 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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