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)