Beth Kewell
Impact in
- Management Information Systems top 10%
- FinTech, Crowdfunding, Digital Finance
- Supply Chain and Inventory Management
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
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- Healthcare Quality and Management 3
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- Pluripotent Stem Cells Research 1
- Co-authors
- Glenn Parry (1 shared paper)Richard Adams (1 shared paper)Phil Godsiff (1 shared paper)Catherine Mulligan (1 shared paper)Roger Maull (1 shared paper)Alan Brown (1 shared paper)Matthias Beck (4 shared papers)Peter M. Ward (1 shared paper)
- Journals
- Science Technology & Human Values (2 papers)Health Risk & Society (2 papers)Teaching in Higher Education (1 paper)Biotechnology Journal (1 paper)Journal of Evaluation in Clinical Practice (1 paper)
- Partner nations
- United KingdomNorwayUnited States
In The Last Decade
Beth Kewell
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 78
- Management Information Systems 77
- Information Systems 187
- Strategy and Management 65
- Marketing 32
- Information Systems and Management 16
Countries citing papers authored by Beth Kewell
This map shows the geographic impact of Beth Kewell'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 Beth Kewell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Kewell more than expected).
Fields of papers citing papers by Beth Kewell
This network shows the impact of papers produced by Beth Kewell. 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 Beth Kewell. The network helps show where Beth Kewell may publish in the future.
Co-authors
The 13 scholars most cited alongside Beth Kewell, 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 | 2017 | 115 | |
| 2 | 2017 | 101 | |
| 3 | 2017 | 15 | |
| 4 | 2006 | 15 | |
| 5 | 2012 | 15 | |
| 6 | 2007 | 13 | |
| 7 | 2002 | 12 | |
| 8 | 2002 | 9 | |
| 9 | 2003 | 8 | |
| 10 | 1998 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2008 | 5 | |
| 13 | 2008 | 4 | |
| 14 | 2002 | 4 | |
| 15 | 2010 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2009 | 1 |
About Beth Kewell
Beth Kewell is a scholar working on Health Information Management, Molecular Biology, Strategy and Management, Sociology and Political Science and Information Systems, having authored 18 papers that have together received 331 indexed citations. Recurring topics across this work include Healthcare Quality and Management (3 papers), Blockchain Technology Applications and Security (2 papers), Risk Perception and Management (2 papers), Medical Malpractice and Liability Issues (2 papers), Online and Blended Learning (1 paper), Transportation and Mobility Innovations (1 paper), Patient Safety and Medication Errors (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Management Information Systems (77 citations), Information Systems (187 citations), Strategy and Management (65 citations), Marketing (32 citations) and Information Systems and Management (16 citations). Beth Kewell has collaborated with scholars based in United Kingdom, Norway and United States. Frequent co-authors include Glenn Parry, Richard Adams, Phil Godsiff, Catherine Mulligan, Roger Maull, Alan Brown, Matthias Beck, Peter M. Ward, Chris Hawkins and Ewan Ferlı́e. Their work appears in journals such as Science Technology & Human Values, Health Risk & Society, Teaching in Higher Education, Biotechnology Journal and Journal of Evaluation in Clinical Practice.
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.