Matrix Differential Calculus with Applications in Statistics and Econometrics.
- Authors
- Heinz Neudecker
- Journal
- Biometrics
In The Last Decade
doi.org/10.2307/2531754 →Countries where authors are citing Matrix Differential Calculus with Applications in Statistics and Econometrics.
This map shows the geographic impact of Matrix Differential Calculus with Applications in Statistics and Econometrics.. 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 Matrix Differential Calculus with Applications in Statistics and Econometrics. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matrix Differential Calculus with Applications in Statistics and Econometrics. more than expected).
Fields of papers citing Matrix Differential Calculus with Applications in Statistics and Econometrics.
This network shows the impact of Matrix Differential Calculus with Applications in Statistics and Econometrics.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Matrix Differential Calculus with Applications in Statistics and Econometrics..
About Matrix Differential Calculus with Applications in Statistics and Econometrics.
This paper, published in 1988, received 2.0k indexed citations . Written by Heinz Neudecker. It is primarily cited by scholars working on Statistics and Probability (540 citations), Electrical and Electronic Engineering (293 citations) and Economics and Econometrics (290 citations). Published in Biometrics.
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/10.2307/2531754.