Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
Impact in
- Authors
- Jorge NocedalStephen J. Wright
In The Last Decade
doi.org/w63003034 →Countries where authors are citing Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
This map shows the geographic impact of Numerical Optimization (Springer Series in Operations Research and Financial Engineering). 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 Numerical Optimization (Springer Series in Operations Research and Financial Engineering) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Numerical Optimization (Springer Series in Operations Research and Financial Engineering) more than expected).
Fields of papers citing Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
This network shows the impact of Numerical Optimization (Springer Series in Operations Research and Financial Engineering). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Numerical Optimization (Springer Series in Operations Research and Financial Engineering).
About Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
This paper, published in 2000, received 776 indexed citations . Written by Jorge Nocedal and Stephen J. Wright. It is primarily cited by scholars working on Numerical Analysis (209 citations), Computational Mechanics (206 citations), Computational Theory and Mathematics (203 citations), Control and Systems Engineering (139 citations) and Artificial Intelligence (102 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/w63003034.