Tom Weyman-Jones
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Ocean Engineering top 5%
- Strategy and Management top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- David S. SaalDavid ParkerBin WangBaibing LiRichard SimperValentin ZelenyukKarligash KenjegalievaMark J. Holmes
- Topics
- Efficiency Analysis Using DEA (7 papers)Fiscal Policy and Economic Growth (5 papers)Economic Growth and Productivity (4 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Tom Weyman-Jones
16 papers receiving 410 citations
Peers
Comparison fields: 5 of 58
- Economics and Econometrics 255
- Management Science and Operations Research 204
- Ocean Engineering 155
- Strategy and Management 86
- General Economics, Econometrics and Finance 46
Countries citing papers authored by Tom Weyman-Jones
This map shows the geographic impact of Tom Weyman-Jones'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 Tom Weyman-Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Weyman-Jones more than expected).
Fields of papers citing papers by Tom Weyman-Jones
This network shows the impact of papers produced by Tom Weyman-Jones. 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 Tom Weyman-Jones. The network helps show where Tom Weyman-Jones may publish in the future.
Co-authorship network of co-authors of Tom Weyman-Jones
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Weyman-Jones. A scholar is included among the top collaborators of Tom Weyman-Jones 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 Tom Weyman-Jones. Tom Weyman-Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 31 | |
| 6 | The long-run level of X in RPI-X regulation: Bernstein and Sappington revisited (WORKING PAPER) | 1 |
| 7 | 217 | |
| 8 | 17 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 15 | |
| 14 | 16 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 1 |
About Tom Weyman-Jones
Tom Weyman-Jones is a scholar working on General Energy, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 17 papers that have together received 458 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (7 papers), Fiscal Policy and Economic Growth (5 papers) and Economic Growth and Productivity (4 papers). The work is most often cited by research in Management Science and Operations Research (204 citations), Ocean Engineering (155 citations) and Economics and Econometrics (255 citations). Tom Weyman-Jones has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include David S. Saal, David Parker, Bin Wang, Baibing Li, Richard Simper, Valentin Zelenyuk, Karligash Kenjegalieva, Mark J. Holmes, Peter Barker and David T. Llewellyn. Their work appears in journals such as European Journal of Operational Research, Energy Policy and International Affairs.
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.