Partitioning procedures for solving mixed-variables programming problems
- Journal
- Numerische Mathematik
In The Last Decade
doi.org/10.1007/bf01386316 →Countries where authors are citing Partitioning procedures for solving mixed-variables programming problems
This map shows the geographic impact of Partitioning procedures for solving mixed-variables programming 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 Partitioning procedures for solving mixed-variables programming problems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partitioning procedures for solving mixed-variables programming problems more than expected).
Fields of papers citing Partitioning procedures for solving mixed-variables programming problems
This network shows the impact of Partitioning procedures for solving mixed-variables programming problems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Partitioning procedures for solving mixed-variables programming problems.
About Partitioning procedures for solving mixed-variables programming problems
This paper, published in 1962, received 2.6k indexed citations . covering the research area of Numerical Analysis, Industrial and Manufacturing Engineering and Biomedical Engineering. It is primarily cited by scholars working on Industrial and Manufacturing Engineering (865 citations), Control and Systems Engineering (646 citations) and Electrical and Electronic Engineering (640 citations). Published in Numerische Mathematik.
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/10.1007/bf01386316.