Power Spectra for Cold Dark Matter and Its Variants
Impact in
Classified as
- Authors
- Daniel J. EisensteinWayne Hu
- Journal
- The Astrophysical Journal
In The Last Decade
doi.org/10.1086/306640 →Countries where authors are citing Power Spectra for Cold Dark Matter and Its Variants
This map shows the geographic impact of Power Spectra for Cold Dark Matter and Its Variants. 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 Power Spectra for Cold Dark Matter and Its Variants with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Power Spectra for Cold Dark Matter and Its Variants more than expected).
Fields of papers citing Power Spectra for Cold Dark Matter and Its Variants
This network shows the impact of Power Spectra for Cold Dark Matter and Its Variants. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Power Spectra for Cold Dark Matter and Its Variants.
About Power Spectra for Cold Dark Matter and Its Variants
This paper, published in 1999, received 586 indexed citations . Written by Daniel J. Eisenstein and Wayne Hu covering the research area of Nuclear and High Energy Physics and Astronomy and Astrophysics. It is primarily cited by scholars working on Astronomy and Astrophysics (566 citations), Nuclear and High Energy Physics (241 citations), Instrumentation (121 citations), Statistical and Nonlinear Physics (29 citations) and Artificial Intelligence (20 citations). Published in The Astrophysical Journal.
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/10.1086/306640.