Methods for Non-Linear Least Squares Problems
- Journal
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)
In The Last Decade
doi.org/w47492857 →Countries where authors are citing Methods for Non-Linear Least Squares Problems
This map shows the geographic impact of Methods for Non-Linear Least Squares 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 Methods for Non-Linear Least Squares Problems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Methods for Non-Linear Least Squares Problems more than expected).
Fields of papers citing Methods for Non-Linear Least Squares Problems
This network shows the impact of Methods for Non-Linear Least Squares Problems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Methods for Non-Linear Least Squares Problems.
About Methods for Non-Linear Least Squares Problems
This paper, published in 1999, received 726 indexed citations . Written by Kaj Madsen, Hans Bruun Nielsen and Ole Tingleff covering the research area of Numerical Analysis. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (158 citations), Electrical and Electronic Engineering (147 citations) and Aerospace Engineering (140 citations). Published in Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
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/w47492857.