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
C Fawcett, HH Hoos
Journal of Heuristics 22.4 (January 2015)
A case study of algorithm selection for the traveling thief problem
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
JE Mendoza, LM Rousseau, JG Villegas
Journal of Heuristics 22.4 (January 2015)
An iterated greedy metaheuristic for the blocking job shop scheduling problem
M Pranzo, D Pacciarelli
Journal of Heuristics 22.4 (January 2015)
A variable neighborhood search simheuristic for project portfolio selection under uncertainty
J Panadero, J Doering, R Kizys, AA Juan, A Fito
Journal of Heuristics 26.3 (February 2018)