Quantifying success in science: An overview
Quantifying success in science plays a key role in guiding funding allocations, recruitment
decisions, and rewards. Recently, a significant amount of progresses have been made …
decisions, and rewards. Recently, a significant amount of progresses have been made …
Scientific impact of an author and role of self-citations
In bibliometric and scientometric research, the quantitative assessment of scientific impact
has boomed over the past few decades. Citations, being playing a major role in enhancing …
has boomed over the past few decades. Citations, being playing a major role in enhancing …
RelRank: A relevance-based author ranking algorithm for individual publication venues
Hiring appropriate editors, chairs and committee members for academic journals and
conferences is challenging. It requires a targeted search for high profile scholars who are …
conferences is challenging. It requires a targeted search for high profile scholars who are …
How does collaboration affect researchers' positions in co-authorship networks?
Collaboration usually has a positive effect on researchers' productivity: researchers have
become increasingly collaborative, according to recent studies. Numerous studies have …
become increasingly collaborative, according to recent studies. Numerous studies have …
[PDF][PDF] Scholar Index for Research Performance Evaluation Using Multiple Criteria Decision Making Analysis
C Ardil - International Journal of Educational and Pedagogical …, 2021 - researchgate.net
This paper aims to present an objective quantitative methodology on how to evaluate
individual's scholarly research output using multiple criteria decision analysis. A multiple …
individual's scholarly research output using multiple criteria decision analysis. A multiple …
[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 …
The local structure of citation networks uncovers expert-selected milestone papers
Recent works aimed to understand how to identify “milestone” scientific papers of great
significance from large-scale citation networks. To this end, previous results found that …
significance from large-scale citation networks. To this end, previous results found that …
Understanding knowledge role transitions: A perspective of knowledge codification
Informal knowledge constantly transitions into formal domain knowledge in the dynamic
knowledge base. This article focuses on an integrative understanding of the knowledge role …
knowledge base. This article focuses on an integrative understanding of the knowledge role …
Impact of h-index on author's rankings: an improvement to the h-index for lower-ranked authors
In academia, the research performance of a faculty is evaluated based on the number of
publications, the number of citations, and the impact of publication where one publishes …
publications, the number of citations, and the impact of publication where one publishes …
[HTML][HTML] The F3-index. Valuing reviewers for scholarly journals
This paper presents an index that measures reviewer contribution to editorial processes of
scholarly journals. Following a metaphor of ranking algorithms in sports tournaments, we …
scholarly journals. Following a metaphor of ranking algorithms in sports tournaments, we …