A review of models for effective thermal conductivity of composite materials

326 indexed citations

Abstract

loading...

About

This paper, published in 2014, received 326 indexed citations. Written by Karol Pietrak and Tomasz Wiśniewski covering the research area of Building and Construction, Materials Chemistry and Mechanics of Materials. It is primarily cited by scholars working on Materials Chemistry (154 citations), Mechanical Engineering (128 citations) and Mechanics of Materials (91 citations). Published in Biuletyn Instytutu Techniki Cieplnej.

In The Last Decade

doi.org/w9525678 →

Countries where authors are citing A review of models for effective thermal conductivity of composite materials

Specialization
Citations

This map shows the geographic impact of A review of models for effective thermal conductivity of composite materials. 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 review of models for effective thermal conductivity of composite materials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A review of models for effective thermal conductivity of composite materials more than expected).

Fields of papers citing A review of models for effective thermal conductivity of composite materials

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A review of models for effective thermal conductivity of composite materials. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A review of models for effective thermal conductivity of composite materials.

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/w9525678.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026