Publication Type : Conference Paper
Publisher : CEUR-WS.org
Source : In proceedings of BIR 2021 Workshop on Bibliometric-enhanced Information Retrieval 2021, 45-52
Url : https://ceur-ws.org/Vol-2847/paper-05.pdf
Campus : Amritapuri
Center : AmritaCREATE
Year : 2021
Abstract : Institutions are known to have varying research strengths in different thematic areas. While some thematic areas are within the core competence of an institution, there may be other areas in which the institution is considered relatively week. This work proposes an expertise-based recommendation framework that can determine the stronger and weaker thematic areas of an institution based on their expertise and toss recommendations. The framework uses bibliometric and text data and applies methods from Network Science and Text Analytics. The recommendations provided can be useful for various purposes ranging from suggestions for institutional collaborations for improving an institution’s research performance in a weaker thematic area (by pairing with an institution stronger in the corresponding thematic area) to research place recommendations to prospective researchers. This unique capability of the framework is demonstrated using 196 research institutions in India. Results are compared with available evidence from different international rankings and the ability of the framework to provide novel recommendations is established.
Cite this Research Publication : Hiran H. Lathabai, and Abhirup Nandy and Vivek Kumar Singh. Expertise-based institutional collaboration recommendation in different thematic areas. In proceedings of BIR 2021 Workshop on Bibliometric-enhanced Information Retrieval 2021, 45-52.