2022 - Research.com Engineering and Technology in Netherlands Leader Award
2022 - Research.com Social Sciences and Humanities in Netherlands Leader Award
His primary scientific interests are in Citation, Citation analysis, Data science, Scientometrics and Triple helix. His study in Citation is interdisciplinary in nature, drawing from both Bibliometrics, Statistics, Impact factor and Scopus. His Citation analysis research integrates issues from Science policy, Citation index, Information retrieval and Operations research.
His research integrates issues of Visualization, The Internet and Discipline in his study of Data science. He combines subjects such as Scientific communication and Subject with his study of Scientometrics. His work in Knowledge base addresses issues such as Economy, which are connected to fields such as Information and Communications Technology.
His scientific interests lie mostly in Citation, Data science, Epistemology, Information retrieval and Scientometrics. Loet Leydesdorff has included themes like Statistics and Impact factor in his Citation study. His research combines Citation impact and Statistics.
His study ties his expertise on Bibliometrics together with the subject of Data science. The study incorporates disciplines such as Reflexivity, Perspective and Systems theory in addition to Epistemology. Information retrieval connects with themes related to Subject in his study.
Loet Leydesdorff focuses on Citation, Bibliometrics, Data science, Information retrieval and Innovation system. The concepts of his Citation study are interwoven with issues in Statistics and Impact factor. Loet Leydesdorff has researched Bibliometrics in several fields, including Citation analysis, Test and Subject.
In his study, Scientometrics is strongly linked to Information science, which falls under the umbrella field of Subject. His study in Operationalization extends to Data science with its themes. His research in Information retrieval focuses on subjects like World Wide Web, which are connected to Field.
His primary areas of study are Citation, Bibliometrics, Data science, Information retrieval and World Wide Web. His Citation research includes elements of Impact factor, Data mining and Scopus. The Bibliometrics study combines topics in areas such as Citation analysis, Information science, MEDLINE and Subject.
His Citation analysis study combines topics in areas such as Field and Management science. His Data science research is multidisciplinary, incorporating elements of Social media, Scientometrics, Flexibility and Visualization. His studies deal with areas such as Discipline, Letter to the editor, Field and China as well as World Wide Web.
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.
The dynamics of innovation: from national systems and "Mode" 2 to a triple helix of university-industry-government relations.
Henry Etzkowitz;Loet Leydesdorff.
Research Policy (2000)
Universities and the global knowledge economy
Henry Etzkowitz;L. A. Leydesdorff.
(1997)
Universities and the global knowledge economy : a triple helix of university-industry-government relations
Henry Etzkowitz;L. A. Leydesdorff.
Glycoconjugate Journal (2002)
Emergence of a Triple Helix of University-Industry-Government Relations
Loet Leydesdorff;Henry Etzkowitz.
Science and Public Policy (1996)
The Knowledge-Based Economy
Loet Leydesdorff.
The Knowledge-Based Economy: Modeled, Measured, Simulated (2006)
The Triple Helix as a model for innovation studies
Loet Leydesdorff;Henry Etzkowitz.
Science and Public Policy (1998)
Network structure, self-organization and the growth of international collaboration in science
Caroline S. Wagner;Loet Leydesdorff.
Research Policy (2005)
The dynamics of innovation: from National Systems and
Henry Etzkowitz;Loet Leydesdorff.
(2000)
Regional Development in the Knowledge-Based Economy: The Construction of Advantage
Philip Cooke;Loet Leydesdorff.
Journal of Technology Transfer (2006)
The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?
Loet Leydesdorff.
Journal of The Knowledge Economy (2012)
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