Predicting Citation Counts with a Neural Network
arXiv:1806.04641v217 citations
Originality Synthesis-oriented
AI Analysis
This work addresses the problem of forecasting academic impact for researchers, but it is incremental as it builds on existing methods with a new dataset.
The paper tackled predicting future citation counts for researchers using a neural network based on past data, finding higher predictability on arXiv publications than previous studies.
We here describe and present results of a simple neural network that predicts individual researchers' future citation counts based on a variety of data from the researchers' past. For publications available on the open access-server arXiv.org we find a higher predictability than previous studies.