Journal of Heuristics - 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 2020, Journal of Heuristics received the following ratings:
h5-Index | h5-Median |
20 | 30 |
Journal of Heuristics highlights some of these top cited articles:
Analysing differences between algorithm configurations through ablation (this opens in a new tab)
C Fawcett, HH Hoos
Journal of Heuristics 22.4 (January 2015)
A case study of algorithm selection for the traveling thief problem (this opens in a new tab)
M Wagner, M Lindauer, M Mısır, S Nallaperuma, F Hutter
Journal of Heuristics 24.3 (April 2017)
A hybrid metaheuristic for the vehicle routing problem with stochastic demand and duration constraints (this opens in a new tab)
JE Mendoza, LM Rousseau, JG Villegas
Journal of Heuristics 22.4 (January 2015)
An iterated greedy metaheuristic for the blocking job shop scheduling problem (this opens in a new tab)
M Pranzo, D Pacciarelli
Journal of Heuristics 22.4 (January 2015)
A variable neighborhood search simheuristic for project portfolio selection under uncertainty (this opens in a new tab)
J Panadero, J Doering, R Kizys, AA Juan, A Fito
Journal of Heuristics 26.3 (February 2018)