Computational and Mathematical Organization Theory - h5-Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2021, Computational and Mathematical Organization Theory received the following ratings:
h5-Index | h5-Median |
20 | 40 |
Computational and Mathematical Organization Theory highlights some of these top cited articles:
Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process (this opens in a new tab)
H Garg
Computational and Mathematical Organization Theory 23.4 (February 2019)
FakeNewsTracker: a tool for fake news collection, detection, and visualization (this opens in a new tab)
K Shu, D Mahudeswaran, H Liu
Computational and Mathematical Organization Theory 25.1 (October 2018)
Efficient revocable identity-based encryption via subset difference methods (this opens in a new tab)
K Lee, DH Lee, JH Park
Computational and Mathematical Organization Theory 85.1 (October 2016)
Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations: the implications for knowledge processes and knowledge-based systems (this opens in a new tab)
MA Butt, F Nawaz, S Hussain, MJ Sousa, M Wang, MS Sumbal, M Shujahat
Computational and Mathematical Organization Theory 25.3 (October 2016)
Self-organization and social science (this opens in a new tab)
D Anzola, P Barbrook-Johnson, JI Cano
Computational and Mathematical Organization Theory 23.2 (June 2016)