Mark I. Hwang

2.5k citations
46 papers · 1.9k · 1 hit paper · h-index 18

Impact in

Papers in

Mark I. Hwang

41 papers receiving 1.7k citations

Mark I. Hwang's Hit Papers

Audit Quality, Corporate Governance, and Earnings Management: A Meta‐Analysis 2009 · 443 citations
4430+5+11Years since publication100200300400

Peers

Mark I. Hwang
Comparison fields: 5 of 109
  • Information Systems and Management 468
  • Accounting 550
  • Management Information Systems 345
  • Strategy and Management 402
  • Communication 180
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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-authors

The 17 scholars most cited alongside Mark I. Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark I. Hwang Line = papers co-authored together Mark I. Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Audit Quality, Corporate Governance, and Earnings Management: A Meta‐Analysis
Hit paper breakdown →
2009443
2 2012215
3 1999208
4 1999173
5 2003160
6 2014130
7 1994116
8 199649
9 200849
10 200743
11 201137
12 199833
13 201729
14 200028
15
A Survey of Data Warehousing Success Issues
200528
16
Relationship between Teamwork and Team Performance: Experiences from an ERPsim Competition.
201827
17 199126
18
Integrating Enterprise Systems in Mergers and Acquisitions
200417
19 202115
20 200513

About Mark I. Hwang

Mark I. Hwang is a scholar working on Management Information Systems, Information Systems and Management, Management Science and Operations Research, Information Systems and Accounting, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Information Technology Governance and Strategy (9 papers), Big Data and Business Intelligence (9 papers), ERP Systems Implementation and Impact (8 papers), Data Quality and Management (5 papers), Customer Service Quality and Loyalty (5 papers), Knowledge Management and Sharing (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Information Systems and Management (468 citations), Accounting (550 citations), Management Information Systems (345 citations), Strategy and Management (402 citations) and Communication (180 citations). Mark I. Hwang has collaborated with scholars based in United States, Taiwan and Finland. Frequent 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, Sabine Henry and Michael D. DeVore. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, ACM SIGMIS Database the DATABASE for Advances in Information Systems, Information Resources Management Journal and Information & Management.

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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