Applied Linear Statistical Models.
- Authors
- John NeterWilliam Wasserman
- Journal
- Journal of the Royal Statistical Society Series A (General)
In The Last Decade
doi.org/10.2307/2984653 →Countries where authors are citing Applied Linear Statistical Models.
This map shows the geographic impact of Applied Linear Statistical Models.. 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 Applied Linear Statistical Models. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applied Linear Statistical Models. more than expected).
Fields of papers citing Applied Linear Statistical Models.
This network shows the impact of Applied Linear Statistical Models.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Applied Linear Statistical Models..
About Applied Linear Statistical Models.
This paper, published in 1975, received 2.1k indexed citations . Written by John Neter and William Wasserman. It is primarily cited by scholars working on Ecology (209 citations), Plant Science (186 citations), Nature and Landscape Conservation (146 citations), Molecular Biology (141 citations) and Global and Planetary Change (127 citations). Published in Journal of the Royal Statistical Society Series A (General).
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/10.2307/2984653.