World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
34
Citations
7292
World Ranking
3046
National Ranking
355

Overview

Nigel Meade is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields including Economics, Econometrics and Finance as well as Business, Management and Accounting. Their work intersects several subfields such as Economics and Econometrics, Management Science and Operations Research, Marketing, Media Technology, and Renewable Energy, Sustainability and the Environment.

The scientist's research focuses particularly on topics including Innovation Diffusion and Forecasting, ICT Impact and Policies, Consumer Market Behavior and Pricing, Consumer Behavior in Brand Consumption and Identification, Energy, Environment, and Transportation Policies, Market Dynamics and Volatility, and Firm Innovation and Growth.

Recent publications by Nigel Meade include:

  • Modelling and forecasting national introduction times for successive generations of mobile telephony (2020), Telecommunications Policy
  • Differing behaviours of forecasters of UK GDP growth (2022), International Journal of Forecasting

Other notable papers linked to their research interests, involving frequent coauthors, include:

  • The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures (2022), Journal of Business Research
  • Fuel price elasticities of market shares of alternative fuel vehicles in Brazil (2020), Transportation Research Part D Transport and Environment
  • Timing Market Entry: The Mediation Effect of Market Potential (2021), Journal of International Marketing

Frequent coauthors associated with Nigel Meade's work are Towhidul Islam, Richard T. Carson, Jordan J. Louviere, Juan Wang, and Thiago Luis Felipe Brito.

The venues where Nigel Meade has frequently published include:

  • Journal of Business Research
  • Transportation Research Part D Transport and Environment
  • Journal of International Marketing
  • Telecommunications Policy
  • International Journal of Forecasting

Best Publications

  • Heuristics for cardinality constrained portfolio optimisation

    T.-J. Chang;N. Meade;J. E. Beasley;Y. M. Sharaiha

  • Modelling and forecasting the diffusion of innovation – A 25-year review

    Nigel Meade;Towhidul Islam

  • An evolutionary heuristic for the index tracking problem

    John E. Beasley;Nigel Meade;T.-J. Chang

  • Renewable energy investments under different support schemes: A real options approach

    Trine Krogh Boomsma;Nigel Meade;Stein-Erik Fleten

  • Technological Forecasting-Model Selection, Model Stability, and Combining Models

    Nigel Meade;Towhidul Islam

  • Forecasting with growth curves: An empirical comparison

    Nigel Meade;Towhidul Islam

  • The diffusion of successive generations of a technology: A more general model

    Towhidul Islam;Nigel Meade

  • Generalising about univariate forecasting methods: Further empirical evidence

    Robert Fildes;Michèle Hibon;Spyros Makridakis;Nigel Meade

  • The use of growth curves in forecasting market development—a review and appraisal

    Nigel Meade

  • The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation

    Towhidul Islam;Nigel Meade

  • Evidence for the selection of forecasting methods

    Nigel Meade

  • A comparison of the accuracy of short term foreign exchange forecasting methods

    Nigel Meade

  • Modelling multinational telecommunications demand with limited data

    Towhidul Islam;Denzil G. Fiebig;Nigel Meade

  • Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation

    Nigel Meade;Towhidul Islam

  • Prediction intervals for growth curve forecasts

    Nigel Meade;Towhidul Islam

  • Forecasting Using Growth Curves An Adaptive Approach

    Nigel Meade

  • A simple algorithm to incorporate transactions costs in quadratic optimisation

    C.J. Adcock;N. Meade

  • Forecasting in telecommunications and ICT—A review

    Nigel Meade;Towhidul Islam

  • Oil prices — Brownian motion or mean reversion? A study using a one year ahead density forecast criterion

    Nigel Meade

  • Index Funds Construction and Performance Measurement

    Nigel Meade;Gerald R. Salkin

  • Neural network time series forecasting of financial markets

    Nigel Meade

  • Neural networks in the capital markets

    Nigel Meade

Frequent Co-Authors

John E. Beasley
John E. Beasley Brunel University London
Spyros Makridakis
Spyros Makridakis University of Nicosia

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