Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics
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doi.org/10.1126/science.aaa4166 →Countries where authors are citing Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics
This map shows the geographic impact of Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics. 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 Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics more than expected).
Fields of papers citing Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics
This network shows the impact of Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics.
About Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics
This paper, published in 2015, received 1.8k indexed citations . Written by Sang Il Kim, Kyu Hyoung Lee, Hyun‐Sik Kim, Sung Woo Hwang, Jong Wook Roh, Dae Jin Yang, Weon Ho Shin, Young Hee Lee, G. Jeffrey Snyder and Sung Wng Kim covering the research area of Materials Chemistry and Civil and Structural Engineering. It is primarily cited by scholars working on Materials Chemistry (1.7k citations), Electrical and Electronic Engineering (603 citations) and Civil and Structural Engineering (572 citations). Published in Science.
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/10.1126/science.aaa4166.