Lectures on ordinary differential equations

362 indexed citations
published 1970
Journal
CERN Document Server (European Organization for Nuclear Research)

In The Last Decade

doi.org/w9378294 →

Countries where authors are citing Lectures on ordinary differential equations

Specialization
Citations

This map shows the geographic impact of Lectures on 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 Lectures on 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 Lectures on ordinary differential equations more than expected).

Fields of papers citing Lectures on ordinary differential equations

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Lectures on 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 Lectures on ordinary differential equations.

About Lectures on ordinary differential equations

This paper, published in 1970, received 362 indexed citations . Written by Robert McKelvey, John H. Barrett, Lloyd Jackson, Robert E. O’Malley and D. Willett. It is primarily cited by scholars working on Applied Mathematics (148 citations), Mathematical Physics (123 citations) and Computational Theory and Mathematics (105 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/w9378294.

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