Library science

Quantum mechanics

Statistics

Predictability

Citation impact

Economics

Impact factor

Computer science

Physics

Operations research

Mathematics

Political science

Monetary economics

Econometrics

Citation

Data science

Artificial intelligence

Citation analysis

Term (time)

Perspective (graphical)

Currency

Science

Citation Grabbers Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127 ; see the Perspective by Evans ) developed a mechanistic model to predict citation history. The model links a paper's ultimate impact, represented by the total number of citations the paper will ever receive, to a single measurable parameter inferred from its early citation history. The model was used to identify factors that influence a journal's impact factor.

Quantifying Long-Term Scientific Impact