Empirical validity of Lotka's Law in Heart Transplantation research published in the Journal of Heart and Lung Transplantation (JHLT

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-01
DOI
https://doi.org/10.5281/zenodo.18446765
Primary Topic
Health Education and Validation
Type
article
Field-Weighted Citation Impact
0.00
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article

Empirical validity of Lotka's Law in Heart Transplantation research published in the Journal of Heart and Lung Transplantation (JHLT

T D Kemparaju, Lakshminarasimhappa M C, Ramesha
Zenodo (CERN European Organization for Nuclear Research)
Health Education and Validation
article

Empirical validity of Lotka's Law in Heart Transplantation research published in the Journal of Heart and Lung Transplantation (JHLT

T D Kemparaju, Lakshminarasimhappa M C, Ramesha
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Bangalore University (IN)
Decent work and economic growth
Openalex Percentile: Top 73%
Health Education and Validation
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