John R. Kuhn
- Management Information Systems top 5%
- Accounting top 5%
- Information Systems top 10%
- Strategy and Management top 10%
- Artificial Intelligence
- Co-authors
- Steve G. SuttonEric N. JohnsonJames F. CourtneyBarbara ApostolouEric TataraJohn M. HassellManju AhujaMarion Brivot
- Topics
- Auditing, Earnings Management, Governance (10 papers)Corporate Finance and Governance (6 papers)Big Data and Business Intelligence (3 papers)
- Journals
- Knowledge-Based SystemsAuditing A Journal of Practice & TheoryCritical Perspectives on Accounting
- Partner nations
- United StatesNorwayAustralia
In The Last Decade
John R. Kuhn
19 papers receiving 410 citations
Peers
Comparison fields: 5 of 58
- Management Information Systems 224
- Accounting 212
- Information Systems 83
- Strategy and Management 79
- Artificial Intelligence 40
Countries citing papers authored by John R. Kuhn
This map shows the geographic impact of John R. Kuhn'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 John R. Kuhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Kuhn more than expected).
Fields of papers citing papers by John R. Kuhn
This network shows the impact of papers produced by John R. Kuhn. 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 John R. Kuhn. The network helps show where John R. Kuhn may publish in the future.
Co-authorship network of co-authors of John R. Kuhn
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Kuhn. A scholar is included among the top collaborators of John R. Kuhn 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 John R. Kuhn. John R. Kuhn 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 | 3 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 14 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 128 | |
| 11 | 29 | |
| 12 | 67 | |
| 13 | 14 | |
| 14 | Mindful Administration of IS Security Policies | 3 |
| 15 | 4 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | Learning from WorldCom: Implications for Fraud Detection Through Continuous Assurance | 2 |
| 20 | 58 |
About John R. Kuhn
John R. Kuhn is a scholar working on Management Information Systems, Accounting and Information Systems and Management, having authored 21 papers that have together received 441 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (10 papers), Corporate Finance and Governance (6 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Management Information Systems (224 citations), Accounting (212 citations) and Information Systems and Management (38 citations). John R. Kuhn has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include Steve G. Sutton, Eric N. Johnson, James F. Courtney, Barbara Apostolou, Eric Tatara, John M. Hassell, Manju Ahuja, Marion Brivot, Charles H. Cho and Alan S. Levitan. Their work appears in journals such as Knowledge-Based Systems, Auditing A Journal of Practice & Theory and Critical Perspectives on Accounting.
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.