A Language-based Approach to Measuring Scholarly Impact

  title={A Language-based Approach to Measuring Scholarly Impact},
  author={Sean Gerrish and David M. Blei},
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregation. Unfortunately, traditional bibliometrics such as citations are often not available. We propose using changes in the thematic content of documents over time to measure the importance of individual documents within the collection. We describe a dynamic topic model for both quantifying and qualifying the impact of… CONTINUE READING
Highly Cited
This paper has 124 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 87 extracted citations

124 Citations

Citations per Year
Semantic Scholar estimates that this publication has 124 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 23 references

Visualizing knowledge domains

View 5 Excerpts
Highly Influenced

The mathematics of statistical machine translation: Parameter estimation

Brown, F Peter, +4 authors L Robert.
Computational Linguistics, • 1993
View 4 Excerpts
Highly Influenced

Latent force models

Bird, Stephen, +4 authors Gibson

Similar Papers

Loading similar papers…