Tim Brown
Impact in
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- Innovative Approaches in Technology and Social Development
- Entrepreneurship Studies and Influences
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- Innovation and Socioeconomic Development
Papers in
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- ICT Impact and Policies 5
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- Law, Economics, and Judicial Systems 4
- Co-authors
- Douglas Sicker (5 shared papers)Jon Gant (4 shared papers)Mark E. Peecher (2 shared papers)Robert Libby (1 shared paper)H. Scott Asay (1 shared paper)Mark W. Nelson (1 shared paper)T. Jeffrey Wilks (1 shared paper)Alexander Davis (1 shared paper)
- Journals
- Contemporary Accounting Research (1 paper)Journal of Information Policy (2 papers)The World Bank Open Knowledge Repository (World Bank) (1 paper)SSRN Electronic Journal (6 papers)
- Partner nations
- United States
In The Last Decade
Tim Brown
9 papers receiving 771 citations
Tim Brown's Hit Papers
Peers
Comparison fields: 5 of 112
- Management of Technology and Innovation 200
- Business and International Management 56
- Human-Computer Interaction 104
- Marketing 100
- Computer Science Applications 48
Countries citing papers authored by Tim Brown
This map shows the geographic impact of Tim Brown'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 Tim Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Brown more than expected).
Fields of papers citing papers by Tim Brown
This network shows the impact of papers produced by Tim Brown. 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 Tim Brown. The network helps show where Tim Brown may publish in the future.
Co-authors
The 9 scholars most cited alongside Tim Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Design Thinking for Social Innovation Hit paper breakdown → | 2010 | 793 |
| 2 | 2021 | 15 | |
| 3 | The Impact of a Judgment Rule and Critical Audit Matters on Assessments of Auditor Legal Liability – The Moderating Role of Legal Knowledge | 2014 | 9 |
| 4 | 2012 | 9 | |
| 5 | 2016 | 7 | |
| 6 | The Impact of a Higher Intent Standard on Auditors' Legal Exposure and the Moderating Role of Jurors' Legal Knowledge | 2016 | 5 |
| 7 | 2020 | 5 | |
| 8 | 2017 | 5 | |
| 9 | 2020 | 3 | |
| 10 | 2021 | 1 |
About Tim Brown
Tim Brown is a scholar working on Media Technology, Economics and Econometrics, Accounting, Strategy and Management and Information Systems, having authored 10 papers that have together received 852 indexed citations. Recurring topics across this work include ICT Impact and Policies (5 papers), Auditing, Earnings Management, Governance (4 papers), Law, Economics, and Judicial Systems (4 papers), ICT in Developing Communities (2 papers), Technology Adoption and User Behaviour (2 papers), Sharing Economy and Platforms (1 paper), Regulation and Compliance Studies (1 paper) and Digital Platforms and Economics (1 paper). The work is most often cited by research in Management of Technology and Innovation (200 citations), Business and International Management (56 citations), Human-Computer Interaction (104 citations), Marketing (100 citations) and Computer Science Applications (48 citations). Tim Brown has collaborated with scholars based in United States. Frequent co-authors include Douglas Sicker, Jon Gant, Mark E. Peecher, Robert Libby, H. Scott Asay, Mark W. Nelson, T. Jeffrey Wilks, Alexander Davis and Alex Davis. Their work appears in journals such as Contemporary Accounting Research, Journal of Information Policy, The World Bank Open Knowledge Repository (World Bank) and SSRN Electronic Journal.
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.