Inverse Sturm-Liouville problems and their applications
Impact in
Classified as
- Authors
- Gerhard FreilingVjacheslav Yurko
In The Last Decade
doi.org/w72610481 →Countries where authors are citing Inverse Sturm-Liouville problems and their applications
This map shows the geographic impact of Inverse Sturm-Liouville problems and their 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 Inverse Sturm-Liouville problems and their applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inverse Sturm-Liouville problems and their applications more than expected).
Fields of papers citing Inverse Sturm-Liouville problems and their applications
This network shows the impact of Inverse Sturm-Liouville problems and their applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inverse Sturm-Liouville problems and their applications.
About Inverse Sturm-Liouville problems and their applications
This paper, published in 2001, received 468 indexed citations . Written by Gerhard Freiling and Vjacheslav Yurko covering the research area of Statistical and Nonlinear Physics and Mathematical Physics. It is primarily cited by scholars working on Mathematical Physics (448 citations), Applied Mathematics (213 citations), Computational Theory and Mathematics (202 citations), Statistical and Nonlinear Physics (65 citations) and Numerical Analysis (19 citations).
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/w72610481.