Computational Methods in Ordinary Differential Equations
Impact in
Classified as
- Authors
- J. D. Lambert
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w96810189 →Countries where authors are citing Computational Methods in Ordinary Differential Equations
This map shows the geographic impact of Computational Methods in Ordinary Differential Equations. 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 Computational Methods in Ordinary Differential Equations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Methods in Ordinary Differential Equations more than expected).
Fields of papers citing Computational Methods in Ordinary Differential Equations
This network shows the impact of Computational Methods in Ordinary Differential Equations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Computational Methods in Ordinary Differential Equations.
About Computational Methods in Ordinary Differential Equations
This paper, published in 1973, received 1.1k indexed citations . Written by J. D. Lambert covering the research area of Numerical Analysis. It is primarily cited by scholars working on Numerical Analysis (754 citations), Computational Mechanics (378 citations), Computational Theory and Mathematics (317 citations), Electrical and Electronic Engineering (278 citations) and Modeling and Simulation (128 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/w96810189.