Melvyn Weeks

2.0k citations
21 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

Melvyn Weeks

21 papers receiving 1.0k citations

Melvyn Weeks's Hit Papers

Discrete Choice Models in Preference Space and Willingness-to-Pay Space 2005 · 630 citations
6300+7+14Years since publication200400600

Peers

Melvyn Weeks
Comparison fields: 5 of 98
  • General Decision Sciences 99
  • Economics and Econometrics 775
  • Marketing 143
  • Transportation 95
  • Management, Monitoring, Policy and Law 127
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David M. Aadland United States
David F. Layton United States
Klaus Zwerina Germany
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Elisabetta Strazzera Italy
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Tsu‐Tan Fu Taiwan
Jens Rommel Germany
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Citations per year

Countries citing papers authored by Melvyn Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Melvyn Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melvyn Weeks. 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 Melvyn Weeks. The network helps show where Melvyn Weeks may publish in the future.

Co-authors

The 20 scholars most cited alongside Melvyn Weeks, 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 Melvyn Weeks Line = papers co-authored together Melvyn Weeks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Discrete Choice Models in Preference Space and Willingness-to-Pay Space
Hit paper breakdown →
2005630
2 200387
3
Microsimulation Modelling For Policy Analysis: Challenges and Innovations
200075
4 200759
5 202246
6 198737
7
Simulation-based Inference in Econometrics: Methods and Applications
200935
8 201927
9 198720
10 202120
11 199718
12 200313
13 200510
14 19897
15 19977
16 20197
17 20017
18 20206
19 19954
20 20003

About Melvyn Weeks

Melvyn Weeks is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment, Gender Studies, General Economics, Econometrics and Finance and Finance, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (5 papers), Smart Grid Energy Management (4 papers), Economic Growth and Productivity (3 papers), Energy Efficiency and Management (3 papers), Economic theories and models (2 papers), Economic and Environmental Valuation (2 papers), Energy, Environment, and Transportation Policies (2 papers) and Regional Economics and Spatial Analysis (2 papers). The work is most often cited by research in General Decision Sciences (99 citations), Economics and Econometrics (775 citations), Marketing (143 citations), Transportation (95 citations) and Management, Monitoring, Policy and Law (127 citations). Melvyn Weeks has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Kenneth E. Train, James Yudong Yao, Lavinia Mitton, Holly Elizabeth Anne Sutherland, Peter W. J. Batey, Maria Laura Di Tommaso, Martin Raiser, Til Schuermann, Roberto S. Mariano and Ruchi Choudhary. Their work appears in journals such as The Economic Journal, Energy Economics, Energy, Papers of the Regional Science Association and European 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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