Impact factors were never meant to be a metric for individual papers, let alone individual people. They’re an average of the skewed distribution of citations accumulated by papers in a given journal over two years. Not only do these averages hide huge variations between papers in the same journal, but citations are imperfect measures of quality and influence. High-impact-factor journals may publish a lot of top-notch science, but we should not outsource evaluation of individual researchers and their outputs to seductive journal metrics.
So what can we do to combat this? What’s the solution? Read about it here!