Paul Jefferies
Impact in
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis
- Economic theories and models
Papers in
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- Complex Systems and Time Series Analysis 9
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- Opinion Dynamics and Social Influence 5
- Statistical Mechanics and Entropy 1
- Co-authors
- Neil F. Johnson (9 shared papers)P. M. Hui (6 shared papers)Michael Hart (8 shared papers)Sam Howison (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)The European Physical Journal B (2 papers)Palaeontology (1 paper)Journal of Physics A Mathematical and General (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (2 papers)
- Partner nations
- United KingdomHong Kong
In The Last Decade
Paul Jefferies
10 papers receiving 466 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 182
- Economics and Econometrics 390
- Finance 135
- Management Science and Operations Research 93
- Sociology and Political Science 142
Countries citing papers authored by Paul Jefferies
This map shows the geographic impact of Paul Jefferies'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 Paul Jefferies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Jefferies more than expected).
Fields of papers citing papers by Paul Jefferies
This network shows the impact of papers produced by Paul Jefferies. 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 Paul Jefferies. The network helps show where Paul Jefferies may publish in the future.
Co-authors
The 4 scholars most cited alongside Paul Jefferies, 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 | 2003 | 192 | |
| 2 | 2001 | 87 | |
| 3 | 2001 | 52 | |
| 4 | 2001 | 38 | |
| 5 | 2001 | 31 | |
| 6 | 2001 | 24 | |
| 7 | 2000 | 24 | |
| 8 | A new stem-group chordate from the Lower Ordovician of South Wales, and the problem of locomotion in broot-shaped cornute | 1992 | 21 |
| 9 | 2000 | 11 | |
| 10 | 2002 | 10 |
About Paul Jefferies
Paul Jefferies is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics, Sociology and Political Science, Paleontology and Condensed Matter Physics, having authored 10 papers that have together received 490 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (9 papers), Opinion Dynamics and Social Influence (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Paleontology and Stratigraphy of Fossils (1 paper), Stock Market Forecasting Methods (1 paper), Theoretical and Computational Physics (1 paper), Ecosystem dynamics and resilience (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (182 citations), Economics and Econometrics (390 citations), Finance (135 citations), Management Science and Operations Research (93 citations) and Sociology and Political Science (142 citations). Paul Jefferies has collaborated with scholars based in United Kingdom and Hong Kong. Frequent co-authors include Neil F. Johnson, P. M. Hui, Michael Hart and Sam Howison. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, The European Physical Journal B, Palaeontology, Journal of Physics A Mathematical and General and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.