Artificial intelligence for engineering design analysis and manufacturing

1.0k papers and 13.0k indexed citations i.

About

The 1.0k papers published in Artificial intelligence for engineering design analysis and manufacturing in the last decades have received a total of 13.0k indexed citations. Papers published in Artificial intelligence for engineering design analysis and manufacturing usually cover Mechanical Engineering (467 papers), Industrial and Manufacturing Engineering (320 papers) and Artificial Intelligence (259 papers) specifically the topics of Design Education and Practice (419 papers), Manufacturing Process and Optimization (285 papers) and Product Development and Customization (220 papers). The most active scholars publishing in Artificial intelligence for engineering design analysis and manufacturing are Timothy W. Simpson, Amaresh Chakrabarti, John S. Gero, Tetsuo Tomiyama, Ashok K. Goel, L. H. Shu, Jonathan Cagan, Yasushi Umeda, Yi-Min Deng and Claudia Eckert.

In The Last Decade

Fields of papers published in Artificial intelligence for engineering design analysis and manufacturing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Artificial intelligence for engineering design analysis and manufacturing. 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 Artificial intelligence for engineering design analysis and manufacturing.

Countries where authors publish in Artificial intelligence for engineering design analysis and manufacturing

Since Specialization
Citations

This map shows the geographic impact of research published in Artificial intelligence for engineering design analysis and manufacturing. 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 Artificial intelligence for engineering design analysis and manufacturing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artificial intelligence for engineering design analysis and manufacturing 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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2025