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.

Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks (FULL-TEXT)
Patent analysis of chemical treatment technology for wastewater: Status and future trends
Different approaches of bibliometric analysis for data analytics applications in non-profit organisations (FULL-TEXT)
Green hydrogen production: a bibliometric analysis (O-4H) (Full-Text Extended Abstract)
Worldwide research trends on the use of chemical–mechanical caries removal products over the years: a critical review (Full-Text)
How does Regulatory Uncertainty Shape the Innovation Process? Evidence from the Case of Nanomedicine
A hybrid approach to identify and forecast technological opportunities based on topic modeling and sentiment analysis (Full-Text)
Technological Emergence and Military Technology Innovation
Future of genetic therapies for rare genetic diseases: what to expect for the next 15 years? (Full-Text)
Scientific Trends in Artificial Neural Networks for Management Science