Heinz Neudecker

6.4k total citations · 1 hit paper
123 papers, 4.4k citations indexed

About

Heinz Neudecker is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Heinz Neudecker has authored 123 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Theory and Mathematics, 45 papers in Statistics and Probability and 28 papers in Applied Mathematics. Recurrent topics in Heinz Neudecker's work include Matrix Theory and Algorithms (52 papers), Advanced Statistical Methods and Models (30 papers) and Mathematics and Applications (16 papers). Heinz Neudecker is often cited by papers focused on Matrix Theory and Algorithms (52 papers), Advanced Statistical Methods and Models (30 papers) and Mathematics and Applications (16 papers). Heinz Neudecker collaborates with scholars based in Netherlands, United Kingdom and Germany. Heinz Neudecker's co-authors include Jan R. Magnus, Shuangzhe Liu, Tom Wansbeek, Albert Satorra, Risto D. H. Heijmans, D.S.G. Pollock, Tõnu Kollo, Van Zyl, Ruud H. Koning and Isabella Verdinelli and has published in prestigious journals such as Journal of the American Statistical Association, The Quarterly Journal of Economics and Econometrica.

In The Last Decade

Heinz Neudecker

118 papers receiving 4.1k citations

Hit Papers

Matrix Differential Calculus with Applications in Statist... 1988 2026 2000 2013 1988 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heinz Neudecker Netherlands 23 1.3k 727 574 502 451 123 4.4k
PE United States 15 1.1k 0.8× 510 0.7× 941 1.6× 696 1.4× 531 1.2× 25 5.4k
Geoffrey Grimmett United Kingdom 29 1.7k 1.3× 696 1.0× 733 1.3× 270 0.5× 389 0.9× 123 5.7k
Michel Loève Canada 9 1.3k 1.0× 518 0.7× 850 1.5× 340 0.7× 198 0.4× 12 5.3k
Kai Lai Chung United States 25 1.4k 1.1× 809 1.1× 904 1.6× 575 1.1× 209 0.5× 92 6.4k
Michel Talagrand France 39 2.3k 1.8× 1.2k 1.6× 1.2k 2.2× 427 0.9× 195 0.4× 237 7.4k
Leon Jay Gleser United States 29 2.3k 1.8× 156 0.2× 861 1.5× 389 0.8× 440 1.0× 96 5.9k
P. R. Krishnaiah United States 32 1.7k 1.4× 193 0.3× 716 1.2× 209 0.4× 204 0.5× 149 3.7k
Vijay K. Rohatgi India 25 978 0.8× 2.3k 3.1× 1.2k 2.1× 169 0.3× 785 1.7× 142 6.9k
Friedrich Pukelsheim Germany 28 562 0.4× 1.1k 1.5× 502 0.9× 353 0.7× 236 0.5× 108 3.6k
A. M. Mathai Canada 29 1.4k 1.1× 245 0.3× 593 1.0× 323 0.6× 995 2.2× 187 6.3k

Countries citing papers authored by Heinz Neudecker

Since Specialization
Citations

This map shows the geographic impact of Heinz Neudecker's research. 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 Heinz Neudecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz Neudecker more than expected).

Fields of papers citing papers by Heinz Neudecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heinz Neudecker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heinz Neudecker. The network helps show where Heinz Neudecker may publish in the future.

Co-authorship network of co-authors of Heinz Neudecker

This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Neudecker. A scholar is included among the top collaborators of Heinz Neudecker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heinz Neudecker. Heinz Neudecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Satorra, Albert & Heinz Neudecker. (2014). A Theorem on the Rank of a Product of Matrices with Illustration of Its Use in Goodness of Fit Testing. Psychometrika. 80(4). 938–948. 3 indexed citations
2.
Neudecker, Heinz & Albert Satorra. (2009). A theorem on the rank of a product of matrices. eScholarship (California Digital Library). 4 indexed citations
3.
Satorra, Albert & Heinz Neudecker. (2003). A matrix equality useful in goodness-of-fit testing of structural equation models. Journal of Statistical Planning and Inference. 114(1-2). 63–80. 7 indexed citations
4.
Neudecker, Heinz & Albert Satorra. (2003). On best affine prediction. Statistical Papers. 44(2). 257–266. 5 indexed citations
5.
Neudecker, Heinz, Risto D. H. Heijmans, D.S.G. Pollock, & Albert Satorra. (2000). Innovations in multivariate statistical analysis : a festschrift for Heinz Neudecker. Kluwer Academic Publishers eBooks. 153 indexed citations
6.
Klein, André & Heinz Neudecker. (2000). A direct derivation of the exact Fisher information matrix of Gaussian vector state space models. Linear Algebra and its Applications. 321(1-3). 233–238. 17 indexed citations
7.
Neudecker, Heinz. (2000). A note on the scalar Haffian. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 24(2). 243–249. 2 indexed citations
8.
Neudecker, Heinz, et al.. (2000). On second-order and fourth-order moments of jointly distributed random matrices: a survey. Linear Algebra and its Applications. 321(1-3). 61–93. 24 indexed citations
9.
Liu, Shuangzhe & Heinz Neudecker. (1997). Kantorovich and Cauchy-Schwarz inequalities involving positive semidefinite matrices, and efficiency comparisons for a singular linear model. Linear Algebra and its Applications. 259. 209–221. 3 indexed citations
10.
Liu, Shuangzhe, Wolfgang Polasek, & Heinz Neudecker. (1997). Equality Conditions for Matrix Kantorovich-Type Inequalities. Journal of Mathematical Analysis and Applications. 212(2). 517–528. 5 indexed citations
11.
Satorra, Albert & Heinz Neudecker. (1997). Least-Squares Approximation of Off-Diagonal Elements of a Variance Matrix in the Context of Factor Analysis. Econometric Theory. 13(2). 308–308. 2 indexed citations
12.
Neudecker, Heinz, et al.. (1996). On the distribution of the estimator of Cronbach's alpha. UvA-DARE (University of Amsterdam). 1 indexed citations
13.
Neudecker, Heinz & Shuangzhe Liu. (1996). The density of the Moore-Penrose inverse of a random matrix. Linear Algebra and its Applications. 237-238. 123–126. 10 indexed citations
14.
Neudecker, Heinz. (1996). The asymptotic variance matrices of the sample correlation matrix in elliptical and normal situations and their proportionality. Linear Algebra and its Applications. 237-238. 127–132. 10 indexed citations
15.
Neudecker, Heinz. (1992). A matrix trace inequality. Journal of Mathematical Analysis and Applications. 166(1). 302–303. 26 indexed citations
16.
Neudecker, Heinz, et al.. (1988). Matrix Differential Calculus with Applications in Statistics and Econometrics.. Biometrics. 44(4). 1209–1209. 1997 indexed citations breakdown →
17.
Neudecker, Heinz. (1985). On the dispersion matrix of a matrix quadratic form connected with the noncentral Wishart distribution. Linear Algebra and its Applications. 70. 257–261. 8 indexed citations
18.
Neudecker, Heinz. (1980). A comment on “minimization of functions of a positive simidefinite matrix A subject to AX = 0”. Journal of Multivariate Analysis. 10(1). 135–139. 6 indexed citations
19.
Neudecker, Heinz. (1969). Some Theorems on Matrix Differentiation with Special Reference to Kronecker Matrix Products. Journal of the American Statistical Association. 64(327). 953–963. 193 indexed citations
20.
Neudecker, Heinz, et al.. (1959). Micro-economic business test data compared with traditional statistics. Metrika. 2(1). 46–61. 2 indexed 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026