Adrian Long

17 papers and 538 indexed citations i.

About

Adrian Long is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Adrian Long has authored 17 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Adrian Long’s work include Concrete Corrosion and Durability (4 papers), Concrete and Cement Materials Research (4 papers) and Structural Engineering and Vibration Analysis (3 papers). Adrian Long is often cited by papers focused on Concrete Corrosion and Durability (4 papers), Concrete and Cement Materials Research (4 papers) and Structural Engineering and Vibration Analysis (3 papers). Adrian Long collaborates with scholars based in United Kingdom, India and China. Adrian Long's co-authors include Wei Sha, A. Zhecheva, Savko Malinov, Muhammed Basheer, Daniel McPolin, Niall Holmes, Danny Crookes, Paul Walsh, J. D. Kirkpatrick and Jean‐Luc Starck and has published in prestigious journals such as Construction and Building Materials, Cement and Concrete Composites and Surface and Coatings Technology.

In The Last Decade

Co-authorship network of co-authors of Adrian Long i

Fields of papers citing papers by Adrian Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian Long. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adrian Long. The network helps show where Adrian Long may publish in the future.

Countries citing papers authored by Adrian Long

Since Specialization
Citations

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