Hakjoon Song

38 total papers · 631 total citations
25 papers, 437 citations indexed

About

Hakjoon Song is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, Hakjoon Song has authored 25 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Accounting, 11 papers in Strategy and Management and 7 papers in Finance. Recurrent topics in Hakjoon Song's work include Auditing, Earnings Management, Governance (19 papers), Corporate Finance and Governance (14 papers) and Corporate Social Responsibility Reporting (6 papers). Hakjoon Song is often cited by papers focused on Auditing, Earnings Management, Governance (19 papers), Corporate Finance and Governance (14 papers) and Corporate Social Responsibility Reporting (6 papers). Hakjoon Song collaborates with scholars based in United States, South Korea and Slovenia. Hakjoon Song's co-authors include Jayanthi Krishnan, Jagan Krishnan, Sang Mook Lee, Pornsit Jiraporn, Santanu Mitra, Joon Sun Yang, Keun‐Hyo Yook, Dennis M. Patten, Lin Cheng and Ki‐Hoon Lee and has published in prestigious journals such as Journal of Business Research, The Accounting Review and Business Strategy and the Environment.

In The Last Decade

Hakjoon Song

23 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hakjoon Song 352 159 85 65 48 25 437
Seung Uk Choi 332 0.9× 186 1.2× 74 0.9× 55 0.8× 47 1.0× 32 454
Hedy Jiaying Huang 351 1.0× 198 1.2× 85 1.0× 80 1.2× 27 0.6× 20 476
Yonghong Jia 400 1.1× 222 1.4× 107 1.3× 66 1.0× 20 0.4× 25 490
Alfred Z. Liu 300 0.9× 130 0.8× 189 2.2× 98 1.5× 30 0.6× 24 425
Melissa F. Lewis‐Western 408 1.2× 196 1.2× 126 1.5× 75 1.2× 24 0.5× 26 467
Olena V. Watanabe 374 1.1× 192 1.2× 97 1.1× 54 0.8× 55 1.1× 13 449
Yi Dong 316 0.9× 196 1.2× 162 1.9× 60 0.9× 65 1.4× 19 449
Gilad Livne 360 1.0× 180 1.1× 134 1.6× 126 1.9× 56 1.2× 35 490
Daniele Macciocchi 204 0.6× 127 0.8× 173 2.0× 118 1.8× 83 1.7× 24 418
Niclas Hellman 413 1.2× 238 1.5× 80 0.9× 42 0.6× 98 2.0× 31 486

Countries citing papers authored by Hakjoon Song

Since Specialization
Citations

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

Fields of papers citing papers by Hakjoon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakjoon Song

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

All Works

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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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