Error estimates and condition numbers for radial basis function interpolation
Impact in
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- Robert Schaback
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doi.org/10.1007/bf02432002 →Countries where authors are citing Error estimates and condition numbers for radial basis function interpolation
This map shows the geographic impact of Error estimates and condition numbers for radial basis function 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 Error estimates and condition numbers for radial basis function interpolation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Error estimates and condition numbers for radial basis function interpolation more than expected).
Fields of papers citing Error estimates and condition numbers for radial basis function interpolation
This network shows the impact of Error estimates and condition numbers for radial basis function interpolation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Error estimates and condition numbers for radial basis function interpolation.
About Error estimates and condition numbers for radial basis function interpolation
This paper, published in 1995, received 489 indexed citations . Written by Robert Schaback covering the research area of Mechanics of Materials and Computational Mechanics. It is primarily cited by scholars working on Mechanics of Materials (347 citations), Computational Mechanics (225 citations), Numerical Analysis (91 citations), Electrical and Electronic Engineering (79 citations) and Modeling and Simulation (75 citations). Published in Advances in Computational Mathematics.
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/10.1007/bf02432002.