Modeling Experts Selection for Scientific Evaluations-A Scientometrics Based Study
- 10.2991/smont-19.2019.44How to use a DOI?
- interdisciplinary studies; experts selection modeling; scientific research policy; decision making; scientific evaluation
An important problem faced by global scientific administrations is the problem of how to select the right peer-review experts for evaluating scientific studies, and the stakes could be potentially high. Identifying and selecting suitable evaluation experts is crucial to judging the studies’ true intrinsic values, to deciding the success of the research personnel, to correctly nurturing the vigor of the involved disciplines, as well as to determining whether the related scientific administrations have done their jobs right: the more suitable their selected evaluation experts are, the better the tax payers’ money is spent. To address this problem, we propose the use of Scientometrics methods such as scientific domain ontology, knowledge mapping, and co-word analysis to ensure selecting the most “knowledgeable” and suitable peer-review experts for studies inside a single discipline, and it also can be extended to do so for interdisciplinary studies.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ying He AU - Kun Tian PY - 2019/04 DA - 2019/04 TI - Modeling Experts Selection for Scientific Evaluations-A Scientometrics Based Study BT - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019) PB - Atlantis Press SP - 194 EP - 201 SN - 1951-6851 UR - https://doi.org/10.2991/smont-19.2019.44 DO - 10.2991/smont-19.2019.44 ID - He2019/04 ER -