<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
The XLIV Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE2023) took place from November 13 to 16, 2023, in Porto, Portugal. CILAMCE2023 featured various scientific activities, including plenary lectures, workshops, and mini-symposia presentations. Annually organized by the Brazilian Association of Computational Methods in Engineering (ABMEC), CILAMCE aims to serve as an international forum for communicating recent developments in numerical methods across all engineering fields and related sciences. CILAMCE was initially launched under the leadership of the late Prof. Agustín Ferrant, with support from the emerging Brazilian community of computational mechanics. Today, CILAMCE is the primary conference for engineers, students, researchers, and professionals from Brazil and other Ibero-Latin American countries. This year's edition was held in Portugal. CILAMCE is a multidisciplinary gathering designed to discuss and explore the state-of-the-art in computational methods in engineering. Consequently, scientists and engineers from various fields regularly attend this conference, benefiting from the diverse technical program, which typically includes globally prominent plenary speakers and several parallel mini-symposia sessions with contributed papers. Undergraduate and Ph.D. students also form an important part of the CILAMCE community. Therefore, CILAMCE2023 organized a special student competition – the Agustín Ferrante Award – to recognize undergraduate students demonstrating potential for outstanding scientific achievements. CILAMCE2023 had 275 participants, divided as follows: 136 delegates, 111 Ph.D. students, and 28 undergraduate students, distributed across 38 mini-symposia. A total of 477 abstracts were submitted, out of which only 260 were accepted, representing an acceptance ratio of 58\%. Concerning the regional distribution of participants, the majority came from Brazil, with 216 participants, followed by Portugal with 46 participants, and Poland contributing 4. The remaining participants came from Belgium (1), Colombia (1), Denmark (2), Lithuania (1), Russia (1), Spain (2), and the USA (1).
Computational intelligence, Artificial intelligence, FOS: Materials engineering, Materials engineering, Computational Mechanics, FOS: Mechanical engineering, Computational fluid dynamics, Applied mechanics, Computational topology, Mechanical engineering, Aerospace engineering, Fluid mechanics, Tissue engineering, Classical mechanics, Civil engineering, Solid mechanics, FOS: Civil engineering
Computational intelligence, Artificial intelligence, FOS: Materials engineering, Materials engineering, Computational Mechanics, FOS: Mechanical engineering, Computational fluid dynamics, Applied mechanics, Computational topology, Mechanical engineering, Aerospace engineering, Fluid mechanics, Tissue engineering, Classical mechanics, Civil engineering, Solid mechanics, FOS: Civil engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |