Martin Meyer mainly investigates Bibliometrics, Social science, Marketing, Public relations and Citation. His Bibliometrics study incorporates themes from Nanotechnology and Scientometrics. In his study, Relevance, Linkage, Science, technology, society and environment education and Agency is inextricably linked to Positive economics, which falls within the broad field of Social science.
His studies in Marketing integrate themes in fields like Incentive, Entrepreneurship and Set. His Public relations research is multidisciplinary, incorporating perspectives in Citation frequency, Phenomenon and Field. Martin Meyer brings together Citation and Scientific literature to produce work in his papers.
Martin Meyer mostly deals with Knowledge management, Social science, Data science, Marketing and Nanotechnology. The Social science study combines topics in areas such as Bibliographic coupling, Citation and Field. His work deals with themes such as Triad, Bibliometrics and Public relations, which intersect with Citation.
His Data science research is multidisciplinary, incorporating perspectives in Coherence, Knowledge integration, Similarity and Conceptual framework. His work in Marketing addresses issues such as Entrepreneurship, which are connected to fields such as Phenomenon and Economic geography. His study on Management science is mostly dedicated to connecting different topics, such as Discipline.
His scientific interests lie mostly in Industrial organization, Knowledge management, Sample, Emerging markets and Value. His work on Product innovation as part of his general Industrial organization study is frequently connected to Frontier and Context, thereby bridging the divide between different branches of science. His work carried out in the field of Knowledge management brings together such families of science as Innovation system, Empirical evidence, Business model and Competence.
Martin Meyer has included themes like Space and Data science in his Business model study. His research investigates the connection with Emerging markets and areas like Multinational corporation which intersect with concerns in Accounting and Attribution. The concepts of his Value study are interwoven with issues in Order and Process.
Industrial organization, Value, Sample, Knowledge management and Value creation are his primary areas of study. Other disciplines of study, such as Context, Triple helix and Redundancy, are mixed together with his Industrial organization studies. The study incorporates disciplines such as Space, Order, Entrepreneurship and Unit of analysis in addition to Value.
He combines subjects such as Emerging markets, Multinational corporation and Product innovation with his study of Sample. The various areas that Martin Meyer examines in his Knowledge management study include Innovation system, Knowledge base and Competence. His Knowledge base research includes elements of Hindsight bias, Systems of innovation, Intermediary, Marketing and Complex system.
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.
Scaling of the distribution of fluctuations of financial market indices.
Parameswaran Gopikrishnan;Vasiliki Plerou;Luis A. Nunes Amaral;Martin Meyer.
Physical Review E (1999)
Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue
Loet Leydesdorff;Martin S. Meyer.
Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience
Ismael Rafols;Martin S. Meyer;Martin S. Meyer;Martin S. Meyer.
DOES SCIENCE PUSH TECHNOLOGY? PATENTS CITING SCIENTIFIC LITERATURE
Martin S. Meyer.
Research Policy (2000)
Academic entrepreneurs or entrepreneurial academics? research–based ventures and public support mechanisms
Martin S. Meyer.
R & D Management (2003)
Inverse Cubic Law for the Probability Distribution of Stock Price Variations
Parameswaran Gopikrishnan;Martin Meyer;Luis A Nunes Amaral;H Eugene Stanley.
arXiv: Statistical Mechanics (1998)
The Triple Helix of University-Industry-Government Relations
Loet Leydesdorff;Martin S. Meyer.
CORRELATIONS IN ECONOMIC TIME SERIES
Yanhui Liu;Pierre Cizeau;Martin Meyer;C.-K. Peng;C.-K. Peng.
Physica A-statistical Mechanics and Its Applications (1997)
Becoming an entrepreneurial university? A case study of knowledge exchange relationships and faculty attitudes in a medium-sized, research-oriented university
Arianna Martinelli;Martin S. Meyer;Martin S. Meyer;Nick Von Tunzelmann.
Journal of Technology Transfer (2008)
UNIVERSAL FEATURES IN THE GROWTH DYNAMICS OF COMPLEX ORGANIZATIONS
Youngki Lee;Luís A. Nunes Amaral;Luís A. Nunes Amaral;David Canning;Martin Meyer.
Physical Review Letters (1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: