A combined genetic adaptive search (GeneAS) for engineering design

975 indexed citations

Abstract

loading...

About

This paper, published in 1996, received 975 indexed citations. Written by Kalyanmoy Deb and Mayank Kumar Goyal covering the research area of Civil and Structural Engineering, Computational Theory and Mathematics and Artificial Intelligence. It is primarily cited by scholars working on Computational Theory and Mathematics (686 citations), Artificial Intelligence (651 citations) and Management Science and Operations Research (133 citations). Published in .

In The Last Decade

doi.org/w82104066 →

Countries where authors are citing A combined genetic adaptive search (GeneAS) for engineering design

Specialization
Citations

This map shows the geographic impact of A combined genetic adaptive search (GeneAS) for engineering design. 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 A combined genetic adaptive search (GeneAS) for engineering design with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A combined genetic adaptive search (GeneAS) for engineering design more than expected).

Fields of papers citing A combined genetic adaptive search (GeneAS) for engineering design

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A combined genetic adaptive search (GeneAS) for engineering design. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A combined genetic adaptive search (GeneAS) for engineering design.

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/w82104066.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper The Somatomedin Hypothesis: 2001 Breakdown of academic impact, for the paper What Is Technological Pedagogical Content Knowledge Breakdown of academic impact, for the paper Evaluating stress : a book of resources Breakdown of academic impact, for the paper Literature Review of Information Technology Adoption Models at Firm Level Breakdown of academic impact, for the paper Gibrat's legacy Breakdown of academic impact, for the paper Variant Ionotropic Glutamate Receptors as Chemosensory Receptors in Drosophila Breakdown of academic impact, for the paper Predictors of New-Onset Kidney Disease in a Community-Based Population Breakdown of academic impact, for the paper Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalities Breakdown of academic impact, for the paper Retinal Imaging and Image Analysis Breakdown of academic impact, for the paper Methods for evaluation of retinal microvascular abnormalities associated with hypertension/sclerosis in the atherosclerosis risk in communities study11The authors have no proprietary interest in the equipment and techniques described in this article.
Rankless by CCL
2026