Google Scholar tool gives extra credit to first and last authors

Google Scholar tool gives extra credit to first and last aut - TITLE: New Academic Tool Challenges Traditional Citation Metri

TITLE: New Academic Tool Challenges Traditional Citation Metrics with Author-Weighted Scoring System

Rethinking Research Impact Measurement

In academic publishing, the h-index has long served as a standard benchmark for measuring research impact, treating all publications in an author’s portfolio equally regardless of their actual contribution level. A new browser extension called GScholarLens is now challenging this conventional approach by introducing a weighted metric that accounts for authorship position, potentially transforming how researchers, institutions, and policymakers evaluate academic contributions.

The Scholar h-index: A More Nuanced Approach

Developed by computational biologist Gaurav Sharma and his team at the Indian Institute of Technology Hyderabad, GScholarLens introduces the Scholar h-index (Sh-index), which applies different weights to citations based on an author’s position in publication lists. The tool, available for both Google Chrome and Mozilla Firefox browsers, represents a significant departure from traditional metrics that treat all co-authors equally.

“The highest weighting is given to the first and last authors because, in most research fields, they are the people who contributed most to the paper,” explains Sharma. The weighting system allocates 100% of citation credit to corresponding or last authors, 90% to first authors, 50% to second authors, and either 25% or 10% to other co-authors depending on the total number of authors.

Addressing Academic Contribution Disparities

The development of GScholarLens comes at a time when fair credit allocation in academic publishing faces increasing scrutiny. A 2022 survey of approximately 47,000 European researchers revealed that nearly 70% had worked on projects where some authors didn’t contribute enough to deserve credit. The Sh-index aims to address these concerns by providing a more accurate representation of individual contributions.

Sharma emphasizes that the tool could help identify researchers who primarily contribute through collaboration rather than leadership. “Overall, productivity-wise, contributions of such authors are mostly collaborative in nature, where they often support large teams but seldom lead small or big projects,” he notes. The metric could also help flag potential ethical issues, such as gift or paid authorship arrangements where researchers receive credit without meaningful contribution., as additional insights, according to industry experts

Expert Perspectives and Limitations

While the tool’s objectives have garnered sympathy from bibliometrics experts, some question its methodology. Alberto Martín-Martín, an information scientist at the University of Granada, acknowledges the need for better evaluation systems but expresses concerns about the approach. “Simply assigning different weights to study authors isn’t enough to capture the nuances of their contributions,” he argues, noting that authorship positions themselves don’t perfectly represent actual contributions.

Martín-Martín also points out technical limitations, including the tool’s assumption that corresponding authors always appear last in author lists, which isn’t universally true across disciplines. He advocates for building such tools using open data sources like OpenAlex, which would enable more comprehensive analyses of authorship patterns across fields, journals, and demographic factors.

Practical Implementation and Future Development

Despite these concerns, early feedback suggests the tool provides valuable additional context. Michael Gusenbauer, who studies innovation management at Johannes Kepler University Linz, comments that “the positives outweigh the negatives” when it comes to expanding beyond Google Scholar’s basic statistics.

Users can currently download the free GScholarLens plugin and calculate Sh-index scores directly through Google Scholar profiles. The tool also displays retracted papers and preprints associated with an author, adding another layer of transparency to research evaluation. Sharma indicates that the weighting system may be refined based on user feedback, suggesting the tool will continue evolving to better serve the research community.

Broader Implications for Research Evaluation

The introduction of author-weighted metrics represents a growing recognition that traditional bibliometric measures often fail to capture the complexity of modern research collaboration. As academic publishing continues to evolve, tools like GScholarLens highlight the need for more sophisticated evaluation systems that acknowledge varying levels of contribution while maintaining practical implementability.

For researchers concerned about fair credit allocation and institutions seeking more comprehensive evaluation methods, GScholarLens offers a promising step toward reconciling quantitative metrics with the qualitative realities of academic contribution. As the tool gains adoption and undergoes refinement, it may inspire further innovation in how we measure and value research impact.

References

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