Predicting the impact of software engineering topics: An empirical study

• Main Authors: SARKAR, Santonu, LAKDAWALA, Rumana, DATTA, Subhajit
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Citation prediction; Software engineering publication; Topic model; Numerical Analysis and Scientific Computing; Scholarly Publishing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5586; https://ink.library.smu.edu.sg/context/sis_research/article/6589/viewcontent/Predict_Impact_SoftwareEng_2017_pv.pdf
• Institution: Singapore Management University

Predicting the future is hard, more so in active research areas. In this paper, we customize an established model for citation prediction of research papers and apply it on research topics. We argue that research topics, rather than individual publications, have wider relevance in the research ecosy...