Mark I. Hwang

2.5k total citations · 1 hit paper
43 papers, 1.8k citations indexed

About

Mark I. Hwang is a scholar working on Management Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Mark I. Hwang has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Information Systems, 12 papers in Information Systems and Management and 12 papers in Management Science and Operations Research. Recurrent topics in Mark I. Hwang's work include Technology Adoption and User Behaviour (12 papers), Big Data and Business Intelligence (9 papers) and Information Technology Governance and Strategy (7 papers). Mark I. Hwang is often cited by papers focused on Technology Adoption and User Behaviour (12 papers), Big Data and Business Intelligence (9 papers) and Information Technology Governance and Strategy (7 papers). Mark I. Hwang collaborates with scholars based in United States, Taiwan and Australia. Mark I. Hwang's co-authors include Jerry W. Lin, Shih‐Chih Chen, David C. Yen, Hongjiang Xu, Jack Becker, Frank L. Schmidt, John C. Windsor, James J. Cappel, E.R. McLean and Michael D. DeVore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Information & Management.

In The Last Decade

Mark I. Hwang

39 papers receiving 1.6k citations

Hit Papers

Audit Quality, Corporate Governance, and Earnings Managem... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark I. Hwang United States 17 526 454 391 381 308 43 1.8k
Waymond Rodgers United States 26 490 0.9× 591 1.3× 647 1.7× 610 1.6× 282 0.9× 82 2.2k
Vicky Arnold United States 26 676 1.3× 354 0.8× 206 0.5× 431 1.1× 817 2.7× 79 1.8k
James E. Hunton United States 24 730 1.4× 459 1.0× 220 0.6× 444 1.2× 1.2k 3.9× 111 2.4k
Andreas I. Nicolaou United States 17 179 0.3× 704 1.6× 447 1.1× 315 0.8× 859 2.8× 39 1.7k
Wonseok Oh South Korea 25 125 0.2× 353 0.8× 632 1.6× 507 1.3× 427 1.4× 74 1.8k
Wai Fong Boh Singapore 22 162 0.3× 255 0.6× 381 1.0× 682 1.8× 742 2.4× 70 2.3k
Shrihari Sridhar United States 25 250 0.5× 288 0.6× 877 2.2× 473 1.2× 142 0.5× 67 2.0k
Murugan Anandarajan United States 23 106 0.2× 464 1.0× 521 1.3× 163 0.4× 245 0.8× 51 1.7k
Rajiv Kishore United States 23 98 0.2× 314 0.7× 400 1.0× 375 1.0× 670 2.2× 68 1.6k
Peter J. Sher Taiwan 12 103 0.2× 648 1.4× 662 1.7× 561 1.5× 218 0.7× 26 2.0k

Countries citing papers authored by Mark I. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Mark I. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark I. Hwang. 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 Mark I. Hwang. The network helps show where Mark I. Hwang may publish in the future.

Co-authorship network of co-authors of Mark I. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Mark I. Hwang. A scholar is included among the top collaborators of Mark I. Hwang 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 Mark I. Hwang. Mark I. Hwang 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.
Jou, Jerwen & Mark I. Hwang. (2025). Is “remember”-recognition faster than “know”-recognition an experimental artefact? Revealing properties of recollection and familiarity.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale.
2.
Hwang, Mark I., et al.. (2024). AI and Big Data: Synergies and Cybersecurity Challenges in Key Sectors. 6(1). 54–63. 1 indexed citations
3.
Jou, Jerwen & Mark I. Hwang. (2022). A memory-interference versus the “dud”-effect account of a DRM false memory result: Fewer related targets at test, higher critical-lure false recognition. Psychonomic Bulletin & Review. 29(4). 1397–1404. 1 indexed citations
4.
Hwang, Mark I.. (2019). ERP Simulation Games in Asynchronous Online Classes. SSRN Electronic Journal. 13(3). 37–45. 1 indexed citations
5.
Hwang, Mark I.. (2018). Graph processing using SAP HANA: A teaching case. 12(2). 155–165. 4 indexed citations
6.
Hwang, Mark I.. (2018). Relationship between Teamwork and Team Performance: Experiences from an ERPsim Competition.. Journal of the Association for Information Systems. 29(3). 157–168. 26 indexed citations
7.
Chen, Shih‐Chih, David C. Yen, & Mark I. Hwang. (2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Computers in Human Behavior. 28(3). 933–941. 201 indexed citations
8.
Hwang, Mark I. & Frank L. Schmidt. (2011). Assessing moderating effect in meta-analysis: a re-analysis of top management support studies and suggestions for researchers. European Journal of Information Systems. 20(6). 693–702. 35 indexed citations
9.
Hwang, Mark I. & Jerry W. Lin. (2008). A meta-analysis of the association between earnings management and audit quality and audit committee effectiveness. Corporate Ownership and Control. 6(Special Issue 1). 48–56. 1 indexed citations
10.
Xu, Hongjiang & Mark I. Hwang. (2005). A Survey of Data Warehousing Success Issues. Digital Commons @ Butler University (Butler University). 10(4). 7–13. 21 indexed citations
11.
Lin, Jerry W., et al.. (2004). A neural fuzzy system approach to assessing the risk of earnings restatements.. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Hwang, Mark I.. (2004). Integrating Enterprise Systems in Mergers and Acquisitions. Journal of the Association for Information Systems. 12. 14 indexed citations
13.
Hwang, Mark I. & James J. Cappel. (2002). Data Warehouse Development and Management: Practices of Some Large Companies. Journal of Computer Information Systems. 43(1). 3–6. 7 indexed citations
14.
Hwang, Mark I., Jack Becker, & Jerry W. Lin. (2001). Representing multivalued attributes in database design.. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Hwang, Mark I. & Jerry W. Lin. (2000). Neural Fuzzy Systems: A Tutorial and an Application. Journal of Computer Information Systems. 40(4). 27–31. 4 indexed citations
16.
Hwang, Mark I., et al.. (2000). Building a Knowledge Base for MIS Research. Information Resources Management Journal. 13(2). 26–32. 25 indexed citations
17.
Lin, Jerry W. & Mark I. Hwang. (2000). A meta-analysis of the effect of task properties on business failure prediction accuracy. Advances in Accounting. 17. 135–149. 5 indexed citations
18.
Hwang, Mark I. & Jerry W. Lin. (1999). Information dimension, information overload and decision quality. Journal of Information Science. 25(3). 213–218. 158 indexed citations
19.
Hwang, Mark I. & E.R. McLean. (1996). The use of meta-analysis in validating the DeLone and McLean information systems success model. 176–180 vol.4. 4 indexed citations
20.
Hwang, Mark I.. (1995). The Effectiveness Of Graphic And Tabular Presentation Under Time Pressure And Task Complexity. Information Resources Management Journal. 8(3). 25–31. 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.

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