His scientific interests lie mostly in Data science, Emerging technologies, Bibliometrics, Nanotechnology and Marketing. His Data science study integrates concerns from other disciplines, such as Interdisciplinarity, Information technology architecture, Sample and Technology forecasting. In his work, Multidisciplinary approach is strongly intertwined with Gauge, which is a subfield of Interdisciplinarity.
His biological study spans a wide range of topics, including Field, China, Key, Process and Profiling. His studies deal with areas such as Knowledge transfer, Knowledge sources, Subject and Chemistry as well as Bibliometrics. Alan L. Porter interconnects Value, Futures contract and Futures studies in the investigation of issues within Marketing.
His primary areas of investigation include Data science, Emerging technologies, Bibliometrics, Knowledge management and Technology management. The concepts of his Data science study are interwoven with issues in Domain, Technology forecasting, Key, Process and Big data. His Bibliometrics research includes elements of Citation analysis and Citation.
Knowledge management and Marketing are commonly linked in his work. His research on Marketing often connects related areas such as China. His study brings together the fields of Innovation management and Technology management.
His primary areas of study are Data science, Emerging technologies, Bibliometrics, Domain and Technology forecasting. The study incorporates disciplines such as Key, Scientometrics, Set and Identification in addition to Data science. His Emerging technologies research includes themes of Technological change, Marketing, Technological evolution and Big data.
His research in Technological change intersects with topics in Technology assessment and Risk analysis. His Bibliometrics study incorporates themes from Citation analysis, Argument, Innovation management and Field. His study in Technology forecasting is interdisciplinary in nature, drawing from both Social change, Futures studies and Library science.
Alan L. Porter mainly focuses on Data science, Emerging technologies, Bibliometrics, Domain and Big data. In his works, he conducts interdisciplinary research on Data science and Modular design. His work carried out in the field of Emerging technologies brings together such families of science as Technological change, Citation impact, Marketing, Field and Sociology of scientific knowledge.
The Bibliometrics study combines topics in areas such as Multidisciplinary approach, Metadata, Field, Argument and Emerging markets. His Domain research is multidisciplinary, incorporating elements of Theoretical computer science, Parsing, Operationalization, Frontier and Key. Alan L. Porter has researched Big data in several fields, including Information technology, Technological evolution, Supply chain, Technology management and Science policy.
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.
Forecasting and Management of Technology
Alan L. Porter.
Tech Mining: Exploiting New Technologies for Competitive Advantage
Alan L. Porter;Scott W. Cunningham.
Is science becoming more interdisciplinary? Measuring and mapping six research fields over time
Alan L. Porter;Ismael Rafols.
Refining search terms for nanotechnology
Alan L. Porter;Jan Youtie;Philip Shapira;David J. Schoeneck.
Measuring researcher interdisciplinarity
Alan L. Porter;Alan L. Porter;Alex S. Cohen;J. David Roessner;Marty Perreault.
Technology futures analysis: Toward integration of the field and new methods
A.L. Porter;B. Ashton;G. Clar;J.F. Coates.
Technology opportunities analysis
Alan L. Porter;Michael J. Detampel.
On the Future of Technological Forecasting
Vary Coates;Mahmud Farooque;Richard Klavans;Koty Lapid.
Automated extraction and visualization of information for technological intelligence and forecasting
Donghua Zhu;Alan L. Porter.
An indicator of cross-disciplinary research
Alan L. Porter;Daryl E. Chubin.
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: