Heinz Neudecker
- Statistics and Probability top 0.2%
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 2%
- Economics and Econometrics top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Jan R. MagnusShuangzhe LiuTom WansbeekAlbert SatorraRisto D. H. HeijmansD.S.G. PollockTõnu KolloRuud H. Koning
- Topics
- Matrix Theory and Algorithms (52 papers)Advanced Statistical Methods and Models (30 papers)Mathematics and Applications (16 papers)
- Journals
- Journal of the American Statistical AssociationThe Quarterly Journal of EconomicsEconometrica
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Heinz Neudecker
118 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Statistics and Probability 1.3k
- Computational Theory and Mathematics 727
- Artificial Intelligence 574
- Economics and Econometrics 502
- Electrical and Electronic Engineering 451
Countries citing papers authored by Heinz Neudecker
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | A theorem on the rank of a product of matrices | 4 |
| 3 | 7 | |
| 4 | Innovations in multivariate statistical analysis : a festschrift for Heinz Neudecker | 153 |
| 5 | 17 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | On the distribution of the estimator of Cronbach's alpha | 1 |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 26 | |
| 16 | 13 | |
| 17 | 49 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 6 |
About Heinz Neudecker
Heinz Neudecker is a scholar working on Computational Mathematics, Statistics and Probability and Computational Theory and Mathematics, having authored 123 papers that have together received 4.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (52 papers), Advanced Statistical Methods and Models (30 papers) and Mathematics and Applications (16 papers). The work is most often cited by research in Computational Mathematics (169 citations), Statistics and Probability (1.3k citations) and Computational Theory and Mathematics (727 citations). Heinz Neudecker has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Jan R. Magnus, Shuangzhe Liu, Tom Wansbeek, Albert Satorra, Risto D. H. Heijmans, D.S.G. Pollock, Tõnu Kollo, Ruud H. Koning, Van Zyl and Isabella Verdinelli. Their work appears in journals such as Journal of the American Statistical Association, The Quarterly Journal of Economics and Econometrica.
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.