Articles and Publications

VantagePoint text-mining software has been used for numerous management of technology (MOT) applications (competitive technological intelligence, technology roadmapping, technology process management, etc.) as well as science and innovation policy applications (interdisciplinary research metrics, science maps, research evaluation, etc.). This site is a place to share  examples of published “TechMining” research. This archive contains more than 500 papers published since 2011. Scroll by clicking the “Older Entries” link at the bottom, or better yet, use the SEARCH function to the right to identify papers in your area of interest.

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TOP 10 SOURCES OF VP PUBLICATIONS

Scientometrics * Technological Forecasting and Social Change * PLoS ONE * Technology Analysis & Strategic Management * Journal of the Association for Information Science and Technology * IEEE Transactions on Engineering Management * Journal of Nanoparticle Research * Journal of Data and Information Science (JDIS) * Research Policy * World Patent Information.

What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge
Mapping the lab-on-a-chip patent landscape through bibliometric techniques
Bibliometric analysis on tendency and topics of artificial intelligence over last decade
Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field
Analysing the theoretical roots of technology emergence: an evolutionary perspective
An overview of intellectual property within agricultural biotechnology in Brazil (Full-Text)
Data Analytics for Better Informed Technology & Engineering Management
Imbalances between the Quantity and Quality of China’s Solar Energy Research (Full-Text)
Research addressing emerging technological ideas has greater scientific impact
On the design of linked datasets mapping networks of collaboration in the genomic sequencing of Saccharomyces cerevisiae, Homo sapiens, and Sus scrofa (Full-Text)