Skip to Main Content

Research Impact

Author Level Metrics

Author Level Metrics

author

 

The author level metrics reflect the productivity and impact of a researcher by assessing a researcher’s publications. They are usually accompanied with profiles of scholars listing their research outputs. The most common metrics are number of publications, number of citations, and h-index.

 

These indicators are potentially used for various purposes, for instance:

  • appointment, promotion and tenure consideration in faculties, and
  • awarding of research grants (as indicators of recent scientific performance or track record of the investigators).

 

To demonstrate research impact beyond citations, consider writing a narrative CV which emphasizes quality over quantity, and include narratives about the broader impact beyond academia.

 

 

Reference

  • Győrffy, B., Herman, P., & Szabó, I. (2020). Research funding: past performance is a stronger predictor of future scientific output than reviewer scores. Journal of Informetrics, 14(3), 101050. https://doi.org/10.1016/j.joi.2020.101050
  • OECD. (2010). Performance-based Funding for Public Research in Tertiary Education Institutions: Workshop Proceedings. OECD Publishing. https://doi.org/10.1787/9789264094611-en

 

Times Cited

Times Cited

Times cited is the total number of citations received by the author's publications indexed by a certain database.

Popular databases include Web of Science Core Collection and Scopus. While they have different criteria in journal evaluation and selection, the coverage in the databases are different. Thus, the numbers of publications and citations for the same author may be different among the databases.

Setting-up and managing author profiles can help to clearly reflect an author's previous publications and demonstrate research productivity and impact. For more details on popular author profiles, check the Author Profile LibGuide

 

Use and limitations

Use
  • It is straight forward and easy to understand.
limitations
  • Citations are not a direct measure of quality.
  • Numbers of citations are also impacted by the variable publication volumes of different disciplines. So, citations should not be used to compare researchers in different fields.

 

Access

Popular platforms include:

 

Reference

  • Declaration on Research Assessment (DORA). (2024). Guidance on the responsible use of quantitative indicators in research assessment. DORA. https://doi.org/10.5281/zenodo.10979644
  • Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1-19. https://doi.org/10.1016/j.ejor.2015.04.002

     

h-index

h-index

The h-index for an individual author is defined as the number of his/her papers that have been cited at least h times. So h represents the top h papers, all of which have at least h citations. For example, an author with a h-index of 10 has ten papers, each with at least ten citations.

 

h-index

en:user:Ael 2, vectorized by pl:user:Vulpecula, Public domain, via Wikimedia Commons

 

Use and limitations

Use
  • It combines both productivity and citation impact in a single measure that is easily understood and intuitive.
  • It is robust to poor data since it ignores the lower down papers where the problems usually occur.
limitations
  • It is insensitive to the actual numbers of citations received by the papers. E.g., two researchers with the same h-index could have dramatically different actual numbers of citations.
  • It does not discriminate well as it only employs integer values. Many researchers may share the same value.
  • It provides no contextual information, e.g., career stage, research area, or the nature of the author’s contributions to each paper.

 

Access

Popular platforms include:

 

Reference

  • Declaration on Research Assessment (DORA). (2024). Guidance on the responsible use of quantitative indicators in research assessment. DORA. https://doi.org/10.5281/zenodo.10979644
  • Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1-19. https://doi.org/10.1016/j.ejor.2015.04.002

     

Other author level indicators and awards

Other relevant metrics

A number of calculations (or awards and rankings) are based on citation counts, h-index, and other compound criteria. These indicators would inherit the pros and cons of the criteria used. Here are some examples.

Indicators and awards
Indicators and awards Key criteria Access
Best Scientists in the World Ranking

H-index as the core criterion for determining a scientist’s position in the ranking.

Primary data sources including OpenAlex and CrossRef.

→ Best Scientists in the World Ranking Data Sources and Collection

Best Scientists in the World Ranking

Essential Science Indicators

Authors receiving a number of citations in a 10-year period that places them in the top 1% of a research field.

Derived from Essential Science Indicators data, updated bi-monthly

→ Essential Science Indicators Help Center

Highly Cited Researchers

Identifying authors with a significant number of Highly Cited Papers in an ESI field. The number of individuals selected based on the square root of the number of authors in each field.

Derived from Essential Science Indicators data.

→ Highly Cited Researchers Evaluation and selection

Highly Cited Researchers

World's Top 2% Scientists

Based on a 2% or above percentile rank, or the top 100,000 by c-score (with and without self-citations). Including two sets: Single Year Data and Career Data.

Derived from Scopus database data.

Stanford/Elsevier's Top 2% Scientist Rankings Methodology

World's Top 2% Scientists Network