Fig 1.
The effectiveness of scientometric measures is declining.
(A) Effectiveness of scientometric measures as correlates of scientific awards in the Scopus physics dataset. (B) Color-coded distribution of the average number of coauthors per publication in this dataset. (C) Ranking of physicists by the h-index. Each data point is a scientist. Color and the vertical axis represent the average number of coauthors per publication.
Fig 2.
Effectiveness and predictive power of scientometric measures.
In each subfigure, the top row depicts the correlation of bibliometric indicators and scientific awards, and the bottom row shows the predictive power five years into the future. (A) Evaluation across all research areas and data platforms (Scopus and Google Scholar). (B) Evaluation of h-frac alongside additional measures across all research areas and data platforms.
Fig 3.
Controlled experiments that test the robustness of the findings.
(A) Reference result from the main experiments (cf. Fig 2A(top)). (B) Corresponding results with other correlation statistics. (C and D) Results in different conditions: using subsets of awards, researchers, and different mechanisms for counting awards.
Fig 4.
Correlation between scientometric measures.
(A) Correlation matrices of scientometric measures in the years 1999, 2009, 2019. (B) Temporal evolution of correlations between traditional measures and their fractional counterparts.
Fig 5.
(A) Ranking induced by h and h-frac for a number of scientists in the Scopus physics dataset. (B) Comparison of rankings induced by h and h-frac in the Scopus physics dataset. Scientists are color-coded by the average number of coauthors per publication. (C) Evolution of the h-index of each scientist in the Scopus physics dataset over time. Each scientist is a curve. Color represents the average number of coauthors per publication. (D) Evolution of h-frac over time. (E) Distribution of h-frac values in each field of research. (F) Distribution of the number of authors per publication for 10 physicists with the highest h-frac in 2019.