X-Ray Diffraction and the Identification and Analysis of Clay Minerals
Impact in
- Biomaterials 1.5k
- Geophysics 1.2k
Classified as
- Authors
- D. M. MooreRobert C. Reynolds
In The Last Decade
doi.org/w88916968 →Countries where authors are citing X-Ray Diffraction and the Identification and Analysis of Clay Minerals
This map shows the geographic impact of X-Ray Diffraction and the Identification and Analysis of Clay Minerals. 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 X-Ray Diffraction and the Identification and Analysis of Clay Minerals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X-Ray Diffraction and the Identification and Analysis of Clay Minerals more than expected).
Fields of papers citing X-Ray Diffraction and the Identification and Analysis of Clay Minerals
This network shows the impact of X-Ray Diffraction and the Identification and Analysis of Clay Minerals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the X-Ray Diffraction and the Identification and Analysis of Clay Minerals.
About X-Ray Diffraction and the Identification and Analysis of Clay Minerals
This paper, published in 1989, received 4.0k indexed citations . Written by D. M. Moore and Robert C. Reynolds covering the research area of Materials Chemistry, Civil and Structural Engineering and Biomaterials. It is primarily cited by scholars working on Biomaterials (1.5k citations), Geophysics (1.2k citations), Civil and Structural Engineering (785 citations), Atmospheric Science (750 citations) and Geochemistry and Petrology (693 citations).
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/w88916968.