Quasilinearization and nonlinear boundary-value problems
Impact in
Classified as
- Authors
- Richard BellmanRobert E. Kalaba
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w87132858 →Countries where authors are citing Quasilinearization and nonlinear boundary-value problems
This map shows the geographic impact of Quasilinearization and nonlinear boundary-value problems. 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 Quasilinearization and nonlinear boundary-value problems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quasilinearization and nonlinear boundary-value problems more than expected).
Fields of papers citing Quasilinearization and nonlinear boundary-value problems
This network shows the impact of Quasilinearization and nonlinear boundary-value problems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quasilinearization and nonlinear boundary-value problems.
About Quasilinearization and nonlinear boundary-value problems
This paper, published in 1965, received 817 indexed citations . Written by Richard Bellman and Robert E. Kalaba covering the research area of Numerical Analysis and Applied Mathematics. It is primarily cited by scholars working on Numerical Analysis (316 citations), Computational Mechanics (201 citations), Modeling and Simulation (176 citations), Biomedical Engineering (129 citations) and Mechanics of Materials (118 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/w87132858.