Dynamic Equations on Time Scales: An Introduction with Applications

1.8k indexed citations
published 2001
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w66729179 →

Countries where authors are citing Dynamic Equations on Time Scales: An Introduction with Applications

Specialization
Citations

This map shows the geographic impact of Dynamic Equations on Time Scales: An Introduction with Applications. 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 Dynamic Equations on Time Scales: An Introduction with Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dynamic Equations on Time Scales: An Introduction with Applications more than expected).

Fields of papers citing Dynamic Equations on Time Scales: An Introduction with Applications

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Dynamic Equations on Time Scales: An Introduction with Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dynamic Equations on Time Scales: An Introduction with Applications.

About Dynamic Equations on Time Scales: An Introduction with Applications

This paper, published in 2001, received 1.8k indexed citations . Written by Martin Böhner and Allan Peterson covering the research area of Numerical Analysis, Mathematical Physics and Computational Theory and Mathematics. It is primarily cited by scholars working on Applied Mathematics (1.5k citations), Numerical Analysis (795 citations) and Control and Systems Engineering (601 citations). Published in Medical Entomology and Zoology.

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/w66729179.

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