Malcolm Pemberton
Impact in
- General Energy top 5%
- Economics and Econometrics top 5%
- Economic theories and models
- Game Theory and Voting Systems
Papers in
-
- Economic theories and models 3
- Energy, Environment, Economic Growth 1
- Co-authors
- Kim C. Border (1 shared paper)Anil Markandya (3 shared papers)David Ulph (1 shared paper)Brian Henry (1 shared paper)Meghnad Desai (1 shared paper)Richard M. Goodwin (1 shared paper)Mohammed H. Dore (1 shared paper)Sukhamoy Chakravarty (1 shared paper)
- Journals
- The Economic Journal (3 papers)Mathematical Proceedings of the Cambridge Philosophical Society (1 paper)Journal of Economic Dynamics and Control (1 paper)Energy Policy (1 paper)Scandinavian Journal of Economics (1 paper)
- Partner nations
- United KingdomSpainAustralia
In The Last Decade
Malcolm Pemberton
9 papers receiving 472 citations
Peers
Comparison fields: 5 of 76
- General Energy 21
- Economics and Econometrics 258
- Geometry and Topology 76
- General Economics, Econometrics and Finance 67
- Management Science and Operations Research 97
Countries citing papers authored by Malcolm Pemberton
This map shows the geographic impact of Malcolm Pemberton'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 Malcolm Pemberton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Pemberton more than expected).
Fields of papers citing papers by Malcolm Pemberton
This network shows the impact of papers produced by Malcolm Pemberton. 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 Malcolm Pemberton. The network helps show where Malcolm Pemberton may publish in the future.
Co-authors
The 10 scholars most cited alongside Malcolm Pemberton, 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 | 1986 | 373 | |
| 2 | 2005 | 43 | |
| 3 | 2001 | 38 | |
| 4 | 2009 | 35 | |
| 5 | 1990 | 15 | |
| 6 | 1975 | 3 | |
| 7 | 1985 | 3 | |
| 8 | 1988 | 2 | |
| 9 | 1985 | 2 |
About Malcolm Pemberton
Malcolm Pemberton is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment, Urban Studies and General Energy, having authored 9 papers that have together received 514 indexed citations. Recurring topics across this work include Economic theories and models (3 papers), Global Energy and Sustainability Research (2 papers), Urban and Rural Development Challenges (1 paper), Nonlinear Waves and Solitons (1 paper), Energy, Environment, Economic Growth (1 paper), Game Theory and Applications (1 paper), Quantum chaos and dynamical systems (1 paper) and Global Energy Security and Policy (1 paper). The work is most often cited by research in General Energy (21 citations), Economics and Econometrics (258 citations), Geometry and Topology (76 citations), General Economics, Econometrics and Finance (67 citations) and Management Science and Operations Research (97 citations). Malcolm Pemberton has collaborated with scholars based in United Kingdom, Spain and Australia. Frequent co-authors include Kim C. Border, Anil Markandya, David Ulph, Brian Henry, Meghnad Desai, Richard M. Goodwin, Mohammed H. Dore, Sukhamoy Chakravarty, Richard Melrose and Frederick van der Ploeg. Their work appears in journals such as The Economic Journal, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of Economic Dynamics and Control, Energy Policy and Scandinavian Journal of Economics.
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.