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Predicting Citation Counts for Academic Literature Using Graph Pattern Mining · Study

WorkPredicting Citation Counts for Academic Literature Using Graph Pattern Mining

Nataliia Pobiedina2014

Work2014

Predicting Citation Counts for Academic Literature Using Graph Pattern Mining

Nataliia Pobiedina · Ryutaro Ichise

18 citations·0/0 files stored·Lecture notes in computer science

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scientometrics and bibliometrics research Complex Network Analysis Techniques Web visibility and informetrics

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References

2005An index to quantify an individual's scientific research output 2002Journal Prestige, Publication Bias, and Other Characteristics Associated With Citation of Published Studies in Peer-Reviewed Journals 2011Citation count prediction 2007Characteristics Associated with Citation Rate of the Medical Literature 2012To better stand on the shoulder of giants 2010Citing for high impact 2001Impact factors, and why they won't go away 2003Exploiting relational structure to understand publication patterns in high-energy physics

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2023Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2015Citation count prediction as a link prediction problemarticle · 8 shared references 2018Citation Count Prediction Based on Academic Network Featuresother · 7 shared references 2014Towards a stratified learning approach to predict future citation countsarticle · 6 shared references 2017Understanding the Impact of Early Citers on Long-Term Scientific Impactother · 6 shared references 2014Towards a stratified learning approach to predict future citation countsother · 5 shared references 2015Predicting citation counts of papersother · 5 shared references

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations18

Files0 public / 0

Shelfscientometrics and bibliometrics research

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doi10.1007/978-3-319-07467-2_12

openalex_workW44377596

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