A review of scientific impact prediction: tasks, features and methods
With the rapid evolution of scientific research, there are a huge volume of papers published
every year and the number of scholars is also growing fast. How to effectively predict the …
every year and the number of scholars is also growing fast. How to effectively predict the …
Features, techniques and evaluation in predicting articles' citations: a review from years 2010–2023
Robust findings of citations have a positive impact on researchers and significantly
contribute to academic development. As a paper is cited more frequently or used as a …
contribute to academic development. As a paper is cited more frequently or used as a …
Improving university faculty evaluations via multi-view knowledge graph
University faculties generate a large amount of heterogeneous data in e-learning
environments that online systems and toolkits have made widely available in all aspects of …
environments that online systems and toolkits have made widely available in all aspects of …
Become a better you: Correlation between the change of research direction and the change of scientific performance
It is important to explore how scientists decide their research agenda and the corresponding
consequences, as their decisions collectively shape contemporary science. There are …
consequences, as their decisions collectively shape contemporary science. There are …
[HTML][HTML] Towards Scientists and Researchers Classification Model (SRCM)-based machine learning and data mining methods: An ISM-MICMAC approach
AY Noaman, AAA Gad-Elrab, AM Baabdullah - Journal of Innovation & …, 2024 - Elsevier
This study introduces an innovative automated model, the Scientists and Researchers
Classification Model (SRCM), which employs data mining and machine-learning techniques …
Classification Model (SRCM), which employs data mining and machine-learning techniques …
Academic rising star prediction via scholar's evaluation model and machine learning techniques
Predicting future academic rising stars provides a useful reference for research
communities, such as offering decision support to recruit young researchers in research …
communities, such as offering decision support to recruit young researchers in research …
An integrated solution for detecting rising technology stars in co-inventor networks
Online patent databases are powerful resources for tech mining and social network analysis
and, especially, identifying rising technology stars in co-inventor networks. However, it's …
and, especially, identifying rising technology stars in co-inventor networks. However, it's …
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach
Star scientists are highly influential researchers who have made significant contributions to
their field, gained widespread recognition, and often attracted substantial research funding …
their field, gained widespread recognition, and often attracted substantial research funding …
Domain expertise extraction for finding rising stars
L Zhu, J Zhang, SW Cunningham - Scientometrics, 2022 - Springer
The field of expertise extraction utilizes published research enabling communities to
highlight and identify the skills of researchers within specific scientific domains. This can be …
highlight and identify the skills of researchers within specific scientific domains. This can be …
Star Scientists' Prediction in the Field of Artificial Intelligence Using Machine Learning Techniques
K Shirouyeh - 2023 - spectrum.library.concordia.ca
Star scientists are highly influential researchers who have made significant contributions to
their field, gained widespread recognition, and often attracted substantial research funding …
their field, gained widespread recognition, and often attracted substantial research funding …