Empirical study validates Lotka's law in heart transplantation research, suggesting a strong adherence to scientific productivity patterns.
The study validated Lotka’s law of scientific productivity in heart transplantation research, published in the Journal of Heart and Lung Transplant (JHLT), using data from the Web of Science, including 9296 articles. Various scientometric tools were employed, revealing a close fit of Lotka's law to JHLT publications through the inverse-square method, with values of ‘n’ (-1.8794), ‘c’ (0.6029), and CV (0.009725). The authors’ productivity frequency slightly exceeded the determined Dmax value (0.6243) and K-S test (0.009725). The Chi-square test yielded a significant p-value of 93.446, which was lower than the tabular value of 143.94, confirming that the heart transplantation publications fit Lotka's law effectively.
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C et al. (2026) studied this question.
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