Journal of Heuristics

792 papers and 20.4k indexed citations i.

About

The 792 papers published in Journal of Heuristics in the last decades have received a total of 20.4k indexed citations. Papers published in Journal of Heuristics usually cover Industrial and Manufacturing Engineering (468 papers), Artificial Intelligence (235 papers) and Computer Networks and Communications (195 papers) specifically the topics of Vehicle Routing Optimization Methods (306 papers), Metaheuristic Optimization Algorithms Research (179 papers) and Optimization and Packing Problems (161 papers). The most active scholars publishing in Journal of Heuristics are El‐Ghazali Talbi, Maurício G. C. Resende, Emanuel Falkenauer, Manuel Lozano, Francisco Herrera, Daniel Molina, Salvador García, Éric D. Taillard, J. E. Beasley and José Fernando Gonçalves.

In The Last Decade

Fields of papers published in Journal of Heuristics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Heuristics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Heuristics.

Countries where authors publish in Journal of Heuristics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Heuristics. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Heuristics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Heuristics more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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