Tech Report

Mining Research Publication Networks for Impact

The question of how to evaluate the quality of research publications is very difficult to answer and despite decades of research, there is still no standard solution to this problem. Particularly at present, with the amount of scholarly literature rapidly expanding, it might become very difficult and time consuming to recognise what is the key research that presents the most important contributions to science. Furthermore, this question is highly relevant not only to researchers, but also librarians, publishers, editors and promotion and grant committees.

Currently, the most widely used methods for evaluating research publications are based mainly on citations. One of the crucial problems of this approach is the time delay between the date of publication and receiving the first citations. This delay complicates the process of finding recent relevant research. Moreover, citations included in a publication are based solely on the choice of the author and they don't necessarily indicate the quality of the cited paper. There are also significant differences between citation patterns in different fields of science.

Within this area we are interested in finding new methods which use semantically richer information for assessing quality. An example of such information might include semantic similarity of publications and analysis of their full-text, citation network analysis, for example finding bridges between distinct clusters of publications, etc. Main goals of this research include evaluating how the measures based on citations represent the quality of a paper and designing new methods for measuring quality that will address the challenges in this area.

This report reviews the state-of-the-art methods for evaluating science and research. In particular it focuses on research publications and other recorded information related to science. The issues, challenges and gaps in the current research are reviewed. The research proposal presented in this report is based on this review and gap analysis. The final part of the report presents the pilot study and the detailed plan for the next two years.

Publication(s)

First Year Probation Report

ID: kmi-14-01

Date: 2014

Author(s): Drahomira Herrmannova

Resources:
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Senior Research Fellow x 2

Knowledge Media Institute (KMi)
50,618 - 56,950 (Grade AC4)
Based in Milton Keynes
Permanent Position

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

Research Assistant / Associate

Knowledge Media Institute (KMi)
29.799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 30th November 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the project Analytics For Everyday Learning. The AFEL Project is an innovative EU funded research project with 5 partners from the UK, Germany, Spain, and Austria. Its goal is to identify the features that...

Research Assistant / Associate

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the OU ANALYSE project (http://analyse.kmi.open.ac.uk). The aim of the project is to increase the retention rate at the OU and at the same time to improve the quality of education. Internet technologies...

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