Joanne Padmore
- Economics and Econometrics top 10%
- Strategy and Management top 10%
- Management of Technology and Innovation top 5%
- Information Systems and Management top 5%
- Management Information Systems top 10%
- Co-authors
- Mike SimpsonS.C. Lenny KohDavid ChappellD. D. GilbertsonNikos DimitriadisGeoff NicholsPeter TaylorDavid M. Barrett
- Topics
- Financial Risk and Volatility Modeling (4 papers)Monetary Policy and Economic Impact (4 papers)Complex Systems and Time Series Analysis (3 papers)
- Cited by
- Business and International ManagementManagement of Technology and InnovationInformation Systems and Management
- Journals
- Journal of Archaeological ScienceIndustrial Management & Data SystemsOxford Bulletin of Economics and Statistics
- Partner nations
- United KingdomGreece
In The Last Decade
Joanne Padmore
14 papers receiving 378 citations
Peers
Comparison fields: 5 of 67
- Economics and Econometrics 100
- Strategy and Management 99
- Management of Technology and Innovation 81
- Information Systems and Management 77
- Management Information Systems 70
Countries citing papers authored by Joanne Padmore
This map shows the geographic impact of Joanne Padmore'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 Joanne Padmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne Padmore more than expected).
Fields of papers citing papers by Joanne Padmore
This network shows the impact of papers produced by Joanne Padmore. 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 Joanne Padmore. The network helps show where Joanne Padmore may publish in the future.
Co-authorship network of co-authors of Joanne Padmore
This figure shows the co-authorship network connecting the top 25 collaborators of Joanne Padmore. A scholar is included among the top collaborators of Joanne Padmore 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 Joanne Padmore. Joanne Padmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 124 | |
| 3 | Measuring the performance of small and medium sized enterprises | 3 |
| 4 | 110 | |
| 5 | 41 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 44 | |
| 13 | 3 | |
| 14 | 30 |
About Joanne Padmore
Joanne Padmore is a scholar working on Finance, General Economics, Econometrics and Finance and Management Information Systems, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (4 papers), Monetary Policy and Economic Impact (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Business and International Management (28 citations), Management of Technology and Innovation (81 citations) and Information Systems and Management (77 citations). Joanne Padmore has collaborated with scholars based in United Kingdom and Greece. Frequent co-authors include Mike Simpson, S.C. Lenny Koh, David Chappell, D. D. Gilbertson, Nikos Dimitriadis, Geoff Nichols, Peter Taylor, David M. Barrett and Nick Taylor. Their work appears in journals such as Journal of Archaeological Science, Industrial Management & Data Systems and Oxford Bulletin of Economics and Statistics.
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.