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Diverse Heterogeneous Information Source-Based Researcher Evaluation Model for Research Performance Measurement

  • Jinhyung KimEmail author
  • Myunggwon Hwang
  • Do-Heon Jeong
  • Sa-kwang Song
  • Jangwon Gim
  • Hanmin Jung
  • Shuo Xu
  • Lijun Zhu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

Abstract

Analysis, prediction, and recommendation of information about experts are very important tasks for future research planning and strategy establishment. However, it takes much time and efforts even for precise analysis of experts because we need to analyze huge and diverse heterogeneous information. There are several application and tools for supporting analysis about researchers, but they provides fragmentary analysis result based on simple evaluation criteria. Therefore, in this paper, we suggest new researcher evaluation model based on diverse performance evaluation features, named RSW model. By using RSW model, we can analyze and compare researchers in various perspectives. In addition, we can ranked researchers and recommend outstanding collaborator in a specified research field.

Keywords

Researcher Performance Evaluation Evaluation Features Researcher Evaluation Model Performance Measurement 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jinhyung Kim
    • 1
    Email author
  • Myunggwon Hwang
    • 1
  • Do-Heon Jeong
    • 1
  • Sa-kwang Song
    • 1
  • Jangwon Gim
    • 1
  • Hanmin Jung
    • 1
  • Shuo Xu
    • 2
  • Lijun Zhu
    • 2
  1. 1.Dept. of Computer Intelligence ResearchKorea Institute of Science and Technology InformationDaejeonRepublic of Korea
  2. 2.Information Technology Supporting CenterInstitute of Scientific and Technical Information of ChinaBeijingP.R. China

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