A. J. Rayner

2.7k citations
76 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

A. J. Rayner

69 papers receiving 1.5k citations

A. J. Rayner's Hit Papers

The environmental Kuznets curve: an empirical analysis 1997 · 778 citations
7780+9+19Years since publication250500750

Peers

A. J. Rayner
Comparison fields: 5 of 105
  • Economics and Econometrics 1.4k
  • General Economics, Econometrics and Finance 366
  • General Agricultural and Biological Sciences 322
  • Tourism, Leisure and Hospitality Management 30
  • Environmental Engineering 267
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Citations per year

Countries citing papers authored by A. J. Rayner

Since Specialization
Citations

This map shows the geographic impact of A. J. Rayner'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 A. J. Rayner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. Rayner more than expected).

Fields of papers citing papers by A. J. Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Rayner. 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 A. J. Rayner. The network helps show where A. J. Rayner may publish in the future.

Co-authors

The 25 scholars most cited alongside A. J. Rayner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. J. Rayner Line = papers co-authored together A. J. Rayner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The environmental Kuznets curve: an empirical analysis
Hit paper breakdown →
1997778
2 200799
3 200689
4 198473
5 199871
6 200160
7 197053
8 199845
9 199835
10 199734
11 199933
12 197928
13 200025
14 199124
15 200923
16 199922
17
The Determinant Factors Affecting Cloud Computing Adoption by Small and Medium Enterprises (SMEs) in Sabah, Malaysia
201820
18 197515
19 199915
20 200513

About A. J. Rayner

A. J. Rayner is a scholar working on General Agricultural and Biological Sciences, General Economics, Econometrics and Finance, Economics and Econometrics, Management Science and Operations Research and Marketing, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Agricultural Economics and Policy (32 papers), Economics of Agriculture and Food Markets (23 papers), Global trade and economics (15 papers), Monetary Policy and Economic Impact (10 papers), Market Dynamics and Volatility (8 papers), Economic Growth and Productivity (8 papers), Efficiency Analysis Using DEA (7 papers) and Economic theories and models (4 papers). The work is most often cited by research in Economics and Econometrics (1.4k citations), General Economics, Econometrics and Finance (366 citations), General Agricultural and Biological Sciences (322 citations), Tourism, Leisure and Hospitality Management (30 citations) and Environmental Engineering (267 citations). A. J. Rayner has collaborated with scholars based in United Kingdom, Malaysia and China. Frequent co-authors include John M. Bates, Matthew Cole, C. Wyn Morgan, Steve McCorriston, T A Lloyd, Keith Cowling, Paul Newbold, Robert C. Hine, Christine Ennew and Matt Cole. Their work appears in journals such as Journal of Agricultural Economics, Oxford Development Studies, American Journal of Agricultural Economics, European Review of Agricultural Economics and The World Bank Economic Review.

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.

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