Developing an adaptive model of thermal comfort and preference

1.6k indexed citations
published 1998
Journal
eScholarship (California Digital Library)

In The Last Decade

doi.org/w5723276 →

Countries where authors are citing Developing an adaptive model of thermal comfort and preference

Specialization
Citations

This map shows the geographic impact of Developing an adaptive model of thermal comfort and preference. 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 Developing an adaptive model of thermal comfort and preference with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Developing an adaptive model of thermal comfort and preference more than expected).

Fields of papers citing Developing an adaptive model of thermal comfort and preference

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Developing an adaptive model of thermal comfort and preference. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Developing an adaptive model of thermal comfort and preference.

About Developing an adaptive model of thermal comfort and preference

This paper, published in 1998, received 1.6k indexed citations . Written by Richard de Dear and Gail Brager covering the research area of Building and Construction, Speech and Hearing and Environmental Engineering. It is primarily cited by scholars working on Building and Construction (1.5k citations), Environmental Engineering (1.1k citations) and Health, Toxicology and Mutagenesis (285 citations). Published in eScholarship (California Digital Library).

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/w5723276.

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