A new academic impact metric for evaluating geographic simulation models

Kai Xu, Min Chen, Albert J. Kettner, C. Michael Barton, Barry F.W. Croke, Anthony J. Jakeman, Daniel P. Ames, Hsiao Hsuan Wang, Susan M. Cuddy, Songshan Yue, Yongning Wen, Fengyuan Zhang, Yixuan Zhang, Guonian Lü

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Geographic simulation models can be used to explore and better understand the geographical environment. Recent advances in geographic and socio-environmental research have led to a dramatic increase in the number of models used for this purpose. Some model repositories provide opportunities for users to explore and apply models, but few provide a general evaluation method for assessing the applicability and recognition of models. In this study, an academic impact evaluation method for models is proposed. Five indices are designed based on their pertinence. The analytical hierarchy process is used to calculate the index weights, and the academic impacts of models are quantified with the weighted sum method. The time range is controlled to evaluate the life-term and annual academic impacts of the models. Some models that met the evaluation criteria from different domains are then evaluated. The results show that the academic impact of a model can be quantified with the proposed method, and the major research areas that models impact are identified.

Original languageEnglish (US)
Pages (from-to)1856-1881
Number of pages26
JournalInternational Journal of Digital Earth
Issue number1
StatePublished - 2022


  • Geographic simulation model
  • academic impact
  • analytic hierarchy process
  • model impact evaluation

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • General Earth and Planetary Sciences


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