Identification of research trends in the field of separation processes. Application of epidemiological model, citation analysis, text mining, and technical analysis of the financial markets
Sitarz, Robert (2013-10-25)
Väitöskirja
25.10.2013
Lappeenranta University of Technology
Acta Universitatis Lappeenrantaensis
Julkaisun pysyvä osoite on
https://urn.fi/URN:ISBN:978-952-265-484-7
https://urn.fi/URN:ISBN:978-952-265-484-7
Kuvaus
ei tietoa saavutettavuudesta
Tiivistelmä
Choice of industrial development options and the relevant allocation of the research
funds become more and more difficult because of the increasing R&D costs and pressure for
shorter development period. Forecast of the research progress is based on the analysis of the
publications activity in the field of interest as well as on the dynamics of its change.
Moreover, allocation of funds is hindered by exponential growth in the number of
publications and patents. Thematic clusters become more and more difficult to identify, and
their evolution hard to follow. The existing approaches of research field structuring and
identification of its development are very limited. They do not identify the thematic clusters
with adequate precision while the identified trends are often ambiguous. Therefore, there is a
clear need to develop methods and tools, which are able to identify developing fields of
research.
The main objective of this Thesis is to develop tools and methods helping in the
identification of the promising research topics in the field of separation processes. Two
structuring methods as well as three approaches for identification of the development trends
have been proposed. The proposed methods have been applied to the analysis of the research
on distillation and filtration.
The results show that the developed methods are universal and could be used to study of
the various fields of research. The identified thematic clusters and the forecasted trends of
their development have been confirmed in almost all tested cases. It proves the universality of
the proposed methods. The results allow for identification of the fast-growing scientific fields
as well as the topics characterized by stagnant or diminishing research activity.
funds become more and more difficult because of the increasing R&D costs and pressure for
shorter development period. Forecast of the research progress is based on the analysis of the
publications activity in the field of interest as well as on the dynamics of its change.
Moreover, allocation of funds is hindered by exponential growth in the number of
publications and patents. Thematic clusters become more and more difficult to identify, and
their evolution hard to follow. The existing approaches of research field structuring and
identification of its development are very limited. They do not identify the thematic clusters
with adequate precision while the identified trends are often ambiguous. Therefore, there is a
clear need to develop methods and tools, which are able to identify developing fields of
research.
The main objective of this Thesis is to develop tools and methods helping in the
identification of the promising research topics in the field of separation processes. Two
structuring methods as well as three approaches for identification of the development trends
have been proposed. The proposed methods have been applied to the analysis of the research
on distillation and filtration.
The results show that the developed methods are universal and could be used to study of
the various fields of research. The identified thematic clusters and the forecasted trends of
their development have been confirmed in almost all tested cases. It proves the universality of
the proposed methods. The results allow for identification of the fast-growing scientific fields
as well as the topics characterized by stagnant or diminishing research activity.
Kokoelmat
- Väitöskirjat [1152]