Fitted Numerical Methods for Singular Perturbation Problems
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- WORLD SCIENTIFIC eBooks
In The Last Decade
doi.org/10.1142/2933 →Countries where authors are citing Fitted Numerical Methods for Singular Perturbation Problems
This map shows the geographic impact of Fitted Numerical Methods for Singular Perturbation Problems. 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 Fitted Numerical Methods for Singular Perturbation Problems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fitted Numerical Methods for Singular Perturbation Problems more than expected).
Fields of papers citing Fitted Numerical Methods for Singular Perturbation Problems
This network shows the impact of Fitted Numerical Methods for Singular Perturbation Problems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fitted Numerical Methods for Singular Perturbation Problems.
About Fitted Numerical Methods for Singular Perturbation Problems
This paper, published in 1996, received 677 indexed citations . Written by John J. H. Miller, Eugene O’Riordan and G. I. Shishkin covering the research area of Numerical Analysis and Mechanical Engineering. It is primarily cited by scholars working on Numerical Analysis (658 citations), Computational Theory and Mathematics (334 citations) and Computational Mechanics (253 citations). Published in WORLD SCIENTIFIC eBooks.
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/10.1142/2933.