Automation in Construction

5.5k papers and 220.0k indexed citations i.

About

The 5.5k papers published in Automation in Construction in the last decades have received a total of 220.0k indexed citations. Papers published in Automation in Construction usually cover Building and Construction (2.5k papers), Civil and Structural Engineering (1.9k papers) and Geology (1.1k papers) specifically the topics of BIM and Construction Integration (2.0k papers), Infrastructure Maintenance and Monitoring (1.4k papers) and 3D Surveying and Cultural Heritage (1.1k papers). The most active scholars publishing in Automation in Construction are Heng Li, Jochen Teizer, Xiangyu Wang, Bilal Succar, Jack C.P. Cheng, Behrokh Khoshnevis, Charles M. Eastman, Lieyun Ding, Limao Zhang and Pieter de Wilde.

In The Last Decade

Fields of papers published in Automation in Construction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Automation in Construction. 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 Automation in Construction.

Countries where authors publish in Automation in Construction

Since Specialization
Citations

This map shows the geographic impact of research published in Automation in Construction. 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 Automation in Construction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Automation in Construction 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