Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019
- Authors
- Anne AugerThomas Stützle
- Journal
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)
In The Last Decade
doi.org/w78220207 →Countries where authors are citing Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019
This map shows the geographic impact of Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019. 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 Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019 more than expected).
Fields of papers citing Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019
This network shows the impact of Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019.
About Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019
This paper, published in 2019, received 304 indexed citations . Written by Anne Auger and Thomas Stützle. It is primarily cited by scholars working on Artificial Intelligence (170 citations), Computational Theory and Mathematics (90 citations) and Industrial and Manufacturing Engineering (25 citations). Published in Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).
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.
This paper is also available at doi.org/w78220207.