What is he best known for?
The fields of study he is best known for:
- Social science
- Statistics
- Scientific method
Anthony F. J. van Raan mainly investigates Citation analysis, Bibliometrics, Citation, Data science and Operations research.
His work deals with themes such as Concept map and Scientometrics, which intersect with Citation analysis.
His studies in Bibliometrics integrate themes in fields like Scientific method, Empirical research, Information retrieval and Co-citation.
The Citation study combines topics in areas such as Normalization and Econometrics.
His studies examine the connections between Data science and genetics, as well as such issues in Citation impact, with regards to Ranking, Data collection and Ranking.
While the research belongs to areas of Index, Anthony F. J. van Raan spends his time largely on the problem of Actuarial science, intersecting his research to questions surrounding Social science.
His most cited work include:
- Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods (583 citations)
- Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups (529 citations)
- Sleeping Beauties in science (365 citations)
What are the main themes of his work throughout his whole career to date?
Citation, Citation analysis, Data science, Bibliometrics and Bibliometric analysis are his primary areas of study.
His biological study spans a wide range of topics, including Social science, Mathematical economics and Field.
Anthony F. J. van Raan has researched Citation analysis in several fields, including Management science, Information retrieval, Interdisciplinarity, Scientometrics and Operations research.
Operations research and Impact factor are two areas of study in which Anthony F. J. van Raan engages in interdisciplinary work.
Data science is frequently linked to Identification in his study.
His Bibliometrics research integrates issues from Concept map and Empirical research.
He most often published in these fields:
- Citation (42.50%)
- Citation analysis (31.25%)
- Data science (25.00%)
What were the highlights of his more recent work (between 2013-2021)?
- Citation (42.50%)
- Data science (25.00%)
- Time lag (5.00%)
In recent papers he was focusing on the following fields of study:
Anthony F. J. van Raan spends much of his time researching Citation, Data science, Time lag, Scientific literature and Beauty.
His study in the field of Bibliographic coupling is also linked to topics like Context and World science.
His Data science research incorporates elements of Science mapping, Bibliometrics and Identification.
His Bibliometrics study integrates concerns from other disciplines, such as Citation analysis and Biological Science Disciplines.
Beauty is a subfield of Aesthetics that he studies.
Anthony F. J. van Raan combines subjects such as Citation rate, Theme and Chemistry with his study of Aesthetics.
Between 2013 and 2021, his most popular works were:
- Dormitory of Physical and Engineering Sciences: Sleeping Beauties May Be Sleeping Innovations. (50 citations)
- Advances in bibliometric analysis: research performance assessment and science mapping (38 citations)
- Sleeping beauties cited in patents: Is there also a dormitory of inventions? (27 citations)
In his most recent research, the most cited papers focused on:
- Social science
- Statistics
- The Internet
His primary scientific interests are in Data science, Beauty, Aesthetics, Scientific literature and Citation.
His study of Data science brings together topics like Bibliometric analysis and Context.
Anthony F. J. van Raan interconnects Bibliometrics, Theme and Chemistry in the investigation of issues within Beauty.
His work on Period as part of general Aesthetics study is frequently linked to Time lag and History, therefore connecting diverse disciplines of science.
Combining a variety of fields, including Scientific literature, Scopus, Bibliographic coupling and Relevance, are what the author presents in his essays.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
