We survey and compare different approaches that have been suggested in the past to solve the problem of predicting the future citation count of a scientific article after a given time interval of its publication. Further, we present a comparative evaluation of the popular h-index and p-rank(a PageRank inspired model for assessing author impact) metrics.

We adopted the popular Aminer dataset. The citation data is extracted from DBLP, ACM, and other sources. Each paper is associated with abstract, authors, year, venue, and title.

cd src

Download the dataset

$./download_dataset.sh

##Pre-process the dataset

$./pre-process.sh

$python feats2seq.py $python SAS.py

##RESULTS
Check Final_Report for results

• Keras

• seq2seq - sequence to sequence learning add-on for the python deep learning library Keras

Sree Ram Sreekar [email protected]
Akshita Mittel [email protected]
Surya Teja Chavali [email protected]

This project is licensed under the MIT License - see the LICENSE.md file for details