A refinement of inverse distance weighted interpolation

500 indexed citations
published 1985

Countries where authors are citing A refinement of inverse distance weighted interpolation

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This map shows the geographic impact of A refinement of inverse distance weighted interpolation. 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 A refinement of inverse distance weighted interpolation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A refinement of inverse distance weighted interpolation more than expected).

Fields of papers citing A refinement of inverse distance weighted interpolation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A refinement of inverse distance weighted interpolation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A refinement of inverse distance weighted interpolation.

About A refinement of inverse distance weighted interpolation

This paper, published in 1985, received 500 indexed citations . Written by David F. Watson and George Philip covering the research area of Mathematical Physics and Computational Theory and Mathematics. It is primarily cited by scholars working on Global and Planetary Change (155 citations), Environmental Engineering (110 citations) and Ecology (91 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/w41578953.

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