Jan R. Magnus

7.8k citations
162 papers · 4.5k · h-index 35

Impact in

Papers in

Jan R. Magnus

155 papers receiving 4.1k citations

Peers

Jan R. Magnus
Comparison fields: 5 of 167
  • Statistics and Probability 1.1k
  • Computational Mathematics 61
  • General Economics, Econometrics and Finance 705
  • Economics and Econometrics 1.6k
  • Finance 503
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Dean P. Foster United States
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Citations per field
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Citations per year

Countries citing papers authored by Jan R. Magnus

Since Specialization
Citations

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

Fields of papers citing papers by Jan R. Magnus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan R. Magnus. 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 Jan R. Magnus. The network helps show where Jan R. Magnus may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan R. Magnus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan R. Magnus Line = papers co-authored together Jan R. Magnus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979375
2 2009271
3 2005264
4 2016170
5 2001168
6 2019165
7 2002147
8 1980139
9
Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition)
1999136
10 1985124
11 1978114
12 2003105
13 201199
14 197995
15 201387
16 198586
17 198980
18 201877
19 200375
20 198667

About Jan R. Magnus

Jan R. Magnus is a scholar working on Economics and Econometrics, Statistics and Probability, General Economics, Econometrics and Finance, Management Science and Operations Research and Finance, having authored 162 papers that have together received 4.5k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (33 papers), Statistical Methods and Inference (29 papers), Advanced Statistical Methods and Models (27 papers), Forecasting Techniques and Applications (17 papers), Statistical Methods and Bayesian Inference (13 papers), Sports Analytics and Performance (12 papers), Matrix Theory and Algorithms (12 papers) and Financial Risk and Volatility Modeling (12 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Computational Mathematics (61 citations), General Economics, Econometrics and Finance (705 citations), Economics and Econometrics (1.6k citations) and Finance (503 citations). Jan R. Magnus has collaborated with scholars based in Netherlands, United Kingdom and Japan. Frequent co-authors include Heinz Neudecker, Franc Klaassen, Karim M. Abadir, Dmitri L. Danilov, Giuseppe De Luca, Owen Powell, Patricia Prüfer, Wendun Wang, Andrey L. Vasnev and Mary S. Morgan. Their work appears in journals such as Econometric Theory, Journal of Econometrics, Journal of the American Statistical Association, Econometrics Journal and Journal of Applied Econometrics.

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.

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