Minsup Song

450 citations
22 papers · 312 · h-index 9

Impact in

  • Accounting top 5%
    • Auditing, Earnings Management, Governance
    • Corporate Finance and Governance
    • Corporate Taxation and Avoidance
  • Finance top 5%
    • Financial Markets and Investment Strategies

Papers in

    • Auditing, Earnings Management, Governance 16
    • Corporate Finance and Governance 8
    • Financial Markets and Investment Strategies 10

Minsup Song

16 papers receiving 304 citations

Peers

Minsup Song
Comparison fields: 5 of 26
  • Accounting 279
  • Finance 185
  • Strategy and Management 88
  • General Decision Sciences 10
  • Management Science and Operations Research 34
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Citations per field
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Citations per year

Countries citing papers authored by Minsup Song

Since Specialization
Citations

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

Fields of papers citing papers by Minsup Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Minsup Song, 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 Minsup Song Line = papers co-authored together Minsup Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201449
3 201248
4 201145
5 201628
6 201419
7 200912
8 200911
9 20109
10 20064
11 20083
12
Earnings Volatility and Leverage Adjustment
20112
13 20062
14
How does prior information affect analyst forecast herding
20111
15
2008 Financial Crisis and Analyst Forecasts
20131
16
How Do Quarterly Earnings Announcements Affect Analyst Forecasts
20081
17 20151
18 20180
19 20220
20 20190

About Minsup Song

Minsup Song is a scholar working on Accounting, Finance, Strategy and Management, Management Science and Operations Research and Infectious Diseases, having authored 22 papers that have together received 312 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (16 papers), Financial Markets and Investment Strategies (10 papers), Corporate Finance and Governance (8 papers), Financial Reporting and Valuation Research (7 papers), Forecasting Techniques and Applications (2 papers), Auction Theory and Applications (1 paper) and Impact of AI and Big Data on Business and Society (1 paper). The work is most often cited by research in Accounting (279 citations), Finance (185 citations), Strategy and Management (88 citations), General Decision Sciences (10 citations) and Management Science and Operations Research (34 citations). Minsup Song has collaborated with scholars based in South Korea and United States. Frequent co-authors include Gerald J. Lobo, Yongtae Kim, Mary Harris Stanford, Douglas E. Stevens, Anwer S. Ahmed, Boochun Jung and Sanghyuk Byun. Their work appears in journals such as Journal of Banking & Finance, Journal of Accounting and Public Policy, Management Science, The Accounting Review and Accounting and Finance.

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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