Quantile Regression for Modeling the Relationship between the Number of Papers and the Number of Scopus Citations among Accounting Lecturers in Indonesia
his study examines the effect of the number of published documents on the number of Scopus citations and the Scopus H-index of accounting lecturers in Indonesia, with a focus on Universitas Airlangga Surabaya and Universitas Sam Ratulangi Manado, using simple linear regression and median (50th quantile) regression models. Objective. This research aims to analyze the direction, magnitude, and variability of the relationship between publication output and citation performance by comparing simple linear regression with quantile regression at the 50th percentile. Methods. A quantitative research approach was employed using simple linear regression and quantile regression models.
Data. Secondary data were obtained from the Indonesian Science and Technology Index (SINTA) database, focusing on publications by accounting lecturers in Indonesia, Universitas Airlangga Surabaya, and Universitas Sam Ratulangi Manado. Results and Discussion. The findings reveal a significant positive relationship between the number of published documents and both the number of Scopus citations and the Scopus H-index. The magnitude of the regression coefficients varies across models and institutional samples.
Index Terms– Quantile Regression, Scopus Citations, H-index, Academic Publications, Accounting Lecturers
