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Predicting Citation Counts Of Environmental Modelling Papers, Barbara J. Robson, Aurélie Mousquès

International Congress on Environmental Modelling and Software

We assessed all papers published in two key environmental modelling journals in 2008 to determine the degree to which the citation counts of the papers could be predicted without considering the paper's quality. We applied both random forests and general additive models to predict citation counts using a range of easily quantified or categorised characteristics of the papers as covariates. The more highly cited papers were, on average, longer, had longer reference lists, had more authors, were more likely to have been published in Environmental Modelling and Software and less likely to include differential or integral equations than papers with …