What is he best known for?
The fields of study he is best known for:
- Statistics
- Law
- Artificial intelligence
Statistics, Operations research, Citation analysis, Citation and Discrete mathematics are his primary areas of study.
Statistics connects with themes related to Robustness in his study.
His Operations research research incorporates themes from Impact factor, Econometrics, Data science and Set.
His Citation analysis research incorporates elements of Group, Bibliometrics, Scientometrics, Informetrics and Bibliographic coupling.
The Citation study combines topics in areas such as Term, Simple, Information retrieval, Social science and Sample.
His research in Discrete mathematics focuses on subjects like g-index, which are connected to Calculus.
His most cited work include:
- Social network analysis: a powerful strategy, also for the information sciences: (983 citations)
- Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (499 citations)
- Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science (379 citations)
What are the main themes of his work throughout his whole career to date?
Ronald Rousseau spends much of his time researching Informetrics, Statistics, Citation, Operations research and Citation analysis.
His research ties Applied mathematics and Informetrics together.
His Statistics study frequently involves adjacent topics like Index.
His Operations research research includes elements of Impact factor and Econometrics.
Ronald Rousseau regularly ties together related areas like Information retrieval in his Citation analysis studies.
He most often published in these fields:
- Informetrics (15.75%)
- Statistics (14.72%)
- Citation (13.91%)
What were the highlights of his more recent work (between 2017-2021)?
- Project management (5.11%)
- Citation (13.91%)
- Information technology (3.68%)
In recent papers he was focusing on the following fields of study:
Ronald Rousseau mainly focuses on Project management, Citation, Information technology, Information retrieval and Lorenz curve.
His Project management research includes themes of Independence, g-index, Mathematical economics and Originality.
Citation analysis is the focus of his Citation research.
His study in Information technology is interdisciplinary in nature, drawing from both Engineering ethics, Function, Engineering management and Measure.
His studies in Information retrieval integrate themes in fields like Fractional counting and Harmonic mean.
In his study, which falls under the umbrella issue of Relation, Informetrics is strongly linked to Context.
Between 2017 and 2021, his most popular works were:
- Becoming Metric-Wise: A Bibliometric Guide for Researchers (27 citations)
- Measuring scientific contributions with modified fractional counting (19 citations)
- Measuring scientific contributions with modified fractional counting (19 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Law
- Artificial intelligence
Ronald Rousseau mostly deals with Relation, Publishing, Publication, Index and Bibliometrics.
The study incorporates disciplines such as Function, Mathematical analysis, Domain and Interpretation in addition to Relation.
His Publishing research is multidisciplinary, incorporating elements of Popularity, International community, Bioinformatics and Sample.
His study in Publication is interdisciplinary in nature, drawing from both Comparability, Fractional counting and Econometrics.
His work carried out in the field of Index brings together such families of science as Diversity index, Monotone polygon, Herfindahl index, Measure and Transformation.
His Bibliometrics study combines topics in areas such as Ranking, Performance indicator, Data collection and Web of science.
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