Katherine Gunny
- Accounting top 0.5%
- Strategy and Management top 1%
- Finance top 2%
- Economics and Econometrics top 5%
- Management Information Systems top 5%
- Co-authors
- Tracey Chunqi ZhangLawrence J. AbbottNaomi S. SoderstromLeslie EldenburgGopal V. KrishnanHui ChenJeff Zeyun ChenMukesh Bajaj
- Topics
- Auditing, Earnings Management, Governance (33 papers)Corporate Finance and Governance (20 papers)Financial Reporting and Valuation Research (11 papers)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Katherine Gunny
33 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Accounting 1.8k
- Strategy and Management 1.1k
- Finance 398
- Economics and Econometrics 179
- Management Information Systems 170
Countries citing papers authored by Katherine Gunny
This map shows the geographic impact of Katherine Gunny'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 Katherine Gunny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Gunny more than expected).
Fields of papers citing papers by Katherine Gunny
This network shows the impact of papers produced by Katherine Gunny. 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 Katherine Gunny. The network helps show where Katherine Gunny may publish in the future.
Co-authorship network of co-authors of Katherine Gunny
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Gunny. A scholar is included among the top collaborators of Katherine Gunny 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 Katherine Gunny. Katherine Gunny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | DOES REAL ACTIVITIES MANAGEMENT IMPROVE EARNINGS INFORMATIVENESS | 1 |
| 6 | Outsourced External Audit Work and Audit Quality | 3 |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | Earnings Management Using Real Activities: Evidence from Nonprofit Hospitals | 12 |
| 14 | 154 | |
| 15 | The Relation Between Earnings Management Using Real Activities Manipulation and Future Performance: Evidence from Meeting Earnings Benchmarks*breakdown → | 1005 |
| 16 | 1 | |
| 17 | 84 | |
| 18 | 30 | |
| 19 | 3 | |
| 20 | What are the consequences of real earnings management | 147 |
About Katherine Gunny
Katherine Gunny is a scholar working on Accounting, Strategy and Management and Finance, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (33 papers), Corporate Finance and Governance (20 papers) and Financial Reporting and Valuation Research (11 papers). The work is most often cited by research in Accounting (1.8k citations), Strategy and Management (1.1k citations) and Finance (398 citations). Katherine Gunny has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Tracey Chunqi Zhang, Lawrence J. Abbott, Naomi S. Soderstrom, Leslie Eldenburg, Gopal V. Krishnan, Hui Chen, Jeff Zeyun Chen, Mukesh Bajaj, Atulya Sarin and Hui Chen. Their work appears in journals such as Management Science, The Accounting Review and Contemporary Accounting Research.
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.