Chebyshev polynomials in numerical analysis
- Authors
- IH Parker
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w1376782 →Countries where authors are citing Chebyshev polynomials in numerical analysis
This map shows the geographic impact of Chebyshev polynomials in numerical analysis. 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 Chebyshev polynomials in numerical analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chebyshev polynomials in numerical analysis more than expected).
Fields of papers citing Chebyshev polynomials in numerical analysis
This network shows the impact of Chebyshev polynomials in numerical analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Chebyshev polynomials in numerical analysis.
About Chebyshev polynomials in numerical analysis
This paper, published in 1968, received 592 indexed citations . Written by IH Parker covering the research area of Numerical Analysis and Applied Mathematics. It is primarily cited by scholars working on Numerical Analysis (184 citations), Mechanics of Materials (130 citations) and Computational Theory and Mathematics (122 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w1376782.