The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts

504 indexed citations
published 1980

Countries where authors are citing The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts

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This map shows the geographic impact of The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts. 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 The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts more than expected).

Fields of papers citing The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts.

About The universe at faint magnitudes. I - Models for the galaxy and the predicted star counts

This paper, published in 1980, received 504 indexed citations . Written by R. M. Soneira covering the research area of Astronomy and Astrophysics and Global and Planetary Change. It is primarily cited by scholars working on Astronomy and Astrophysics (438 citations), Nuclear and High Energy Physics (134 citations) and Instrumentation (133 citations). Published in The Astrophysical Journal Supplement Series.

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/10.1086/190685.

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