Statistical inference from band recovery data - a handbook

590 indexed citations
published 1985

Countries where authors are citing Statistical inference from band recovery data - a handbook

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This map shows the geographic impact of Statistical inference from band recovery data - a handbook. 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 Statistical inference from band recovery data - a handbook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistical inference from band recovery data - a handbook more than expected).

Fields of papers citing Statistical inference from band recovery data - a handbook

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Statistical inference from band recovery data - a handbook. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Statistical inference from band recovery data - a handbook.

About Statistical inference from band recovery data - a handbook

This paper, published in 1985, received 590 indexed citations . Written by Cavell Brownie, David R. Anderson, Kenneth P. Burnham and D. S. Robson covering the research area of Computer Vision and Pattern Recognition, Oceanography and Signal Processing. It is primarily cited by scholars working on Ecology (475 citations), Nature and Landscape Conservation (257 citations) and Global and Planetary Change (157 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/w5056167.

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