Nonstandard Finite Difference Models of Differential Equations
- Authors
- Ronald E. Mickens
- Journal
- WORLD SCIENTIFIC eBooks
In The Last Decade
doi.org/10.1142/2081 →Countries where authors are citing Nonstandard Finite Difference Models of Differential Equations
This map shows the geographic impact of Nonstandard Finite Difference Models of 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 Nonstandard Finite Difference Models of 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 Nonstandard Finite Difference Models of Differential Equations more than expected).
Fields of papers citing Nonstandard Finite Difference Models of Differential Equations
This network shows the impact of Nonstandard Finite Difference Models of 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 Nonstandard Finite Difference Models of Differential Equations.
About Nonstandard Finite Difference Models of Differential Equations
This paper, published in 1993, received 792 indexed citations . Written by Ronald E. Mickens covering the research area of Numerical Analysis. It is primarily cited by scholars working on Modeling and Simulation (387 citations), Public Health, Environmental and Occupational Health (328 citations) and Numerical Analysis (266 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/10.1142/2081.