Hajo Holzmann

1.1k total citations
58 papers, 583 citations indexed

About

Hajo Holzmann is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Hajo Holzmann has authored 58 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 12 papers in Finance. Recurrent topics in Hajo Holzmann's work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (14 papers) and Financial Risk and Volatility Modeling (11 papers). Hajo Holzmann is often cited by papers focused on Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (14 papers) and Financial Risk and Volatility Modeling (11 papers). Hajo Holzmann collaborates with scholars based in Germany, United States and Canada. Hajo Holzmann's co-authors include Axel Munk, Nicolai Bissantz, Bernhard Klar, Sebastián Vollmer, Tilmann Gneiting, Walter Zucchini, Stefan Hoderlein, Lutz Dümbgen, Whitney K. Newey and Iván Fernández‐Val and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

In The Last Decade

Hajo Holzmann

54 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajo Holzmann Germany 13 262 207 91 76 52 58 583
Miao Bai-qi China 12 282 1.1× 109 0.5× 122 1.3× 93 1.2× 16 0.3× 47 514
Eustasio del Barrio Spain 14 375 1.4× 142 0.7× 110 1.2× 46 0.6× 162 3.1× 40 735
M. Pourahmadi United States 13 592 2.3× 240 1.2× 119 1.3× 183 2.4× 92 1.8× 23 944
Pushpa N. Rathie Brazil 14 172 0.7× 138 0.7× 70 0.8× 112 1.5× 46 0.9× 91 735
Jan Mielniczuk Poland 17 437 1.7× 269 1.3× 316 3.5× 143 1.9× 23 0.4× 58 885
Chunming Zhang United States 14 576 2.2× 141 0.7× 219 2.4× 114 1.5× 31 0.6× 62 947
Ramón Gutiérrez Jáimez Spain 17 267 1.0× 114 0.6× 214 2.4× 136 1.8× 80 1.5× 82 794
Daniel J. Nordman United States 16 261 1.0× 150 0.7× 117 1.3× 145 1.9× 23 0.4× 69 658
Víctor Peña United States 11 293 1.1× 138 0.7× 174 1.9× 49 0.6× 122 2.3× 38 633
Wolfgang Wefelmeyer Germany 16 691 2.6× 318 1.5× 173 1.9× 59 0.8× 32 0.6× 72 857

Countries citing papers authored by Hajo Holzmann

Since Specialization
Citations

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

Fields of papers citing papers by Hajo Holzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hajo Holzmann. 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 Hajo Holzmann. The network helps show where Hajo Holzmann may publish in the future.

Co-authorship network of co-authors of Hajo Holzmann

This figure shows the co-authorship network connecting the top 25 collaborators of Hajo Holzmann. A scholar is included among the top collaborators of Hajo Holzmann 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 Hajo Holzmann. Hajo Holzmann 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.
2.
Holzmann, Hajo & Bernhard Klar. (2023). Using proxies to improve forecast evaluation. The Annals of Applied Statistics. 17(3). 1 indexed citations
3.
Bissantz, Nicolai, et al.. (2014). Confidence regions for images observed under the Radon transform. Journal of Multivariate Analysis. 128. 86–107. 3 indexed citations
4.
Holzmann, Hajo, et al.. (2014). Semiparametric hidden Markov models: identifiability and estimation. Wiley Interdisciplinary Reviews Computational Statistics. 6(6). 418–425. 11 indexed citations
5.
Holzmann, Hajo, et al.. (2014). Hidden Markov models with state-dependent mixtures: minimal representation, model testing and applications to clustering. Statistics and Computing. 25(6). 1185–1200. 7 indexed citations
6.
Vollmer, Sebastián, et al.. (2013). The Emergence of Three Human Development Clubs. PLoS ONE. 8(3). e57624–e57624. 5 indexed citations
7.
Vollmer, Sebastián, et al.. (2013). Peaks vs Components. Review of Development Economics. 17(2). 352–364. 12 indexed citations
8.
Holzmann, Hajo, et al.. (2012). Analysing goodness of fit measures using a sensitivity based approach. EGU General Assembly Conference Abstracts. 12354. 2 indexed citations
9.
Pawlak, M. & Hajo Holzmann. (2011). Statistical assessment of image symmetries. 805–808. 3 indexed citations
10.
Holzmann, Hajo, et al.. (2010). Testing for two components in a switching regression model. Computational Statistics & Data Analysis. 54(6). 1592–1604. 1 indexed citations
11.
Bissantz, Nicolai, et al.. (2010). Confidence bands for inverse regression models. Inverse Problems. 26(11). 115020–115020. 12 indexed citations
12.
Min, Aleksey, Hajo Holzmann, & Claudia Czado. (2009). Model selection strategies for identifying most relevant covariates in homoscedastic linear models. Computational Statistics & Data Analysis. 54(12). 3194–3211. 7 indexed citations
13.
Holzmann, Hajo & Axel Munk. (2008). The authors replied as follows:. Biometrics. 64(3). 979–981. 1 indexed citations
14.
Denker, Manfred & Hajo Holzmann. (2008). Markov partitions for fibre expanding systems. Colloquium Mathematicum. 110(2). 485–492.
15.
Holzmann, Hajo, et al.. (2008). Testing for two states in a hidden Markov model. Canadian Journal of Statistics. 36(4). 505–520. 6 indexed citations
16.
Holzmann, Hajo, et al.. (2008). Likelihood Ratio Testing for Hidden Markov Models Under Non‐standard Conditions. Scandinavian Journal of Statistics. 35(2). 309–321. 6 indexed citations
17.
Holzmann, Hajo, et al.. (2007). The likelihood ratio test for hidden Markov models in two-sample problems. Computational Statistics & Data Analysis. 52(4). 1850–1859. 1 indexed citations
18.
Holzmann, Hajo, Axel Munk, & Tilmann Gneiting. (2006). Identifiability of Finite Mixtures of Elliptical Distributions. Scandinavian Journal of Statistics. 33(4). 753–763. 64 indexed citations
19.
Holzmann, Hajo, Nicolai Bissantz, & Axel Munk. (2005). Density testing in a contaminated sample. Journal of Multivariate Analysis. 98(1). 57–75. 20 indexed citations
20.
Holzmann, Hajo, Susanne Koch, & Aleksey Min. (2004). Almost sure limit theorems for U-statistics. Statistics & Probability Letters. 69(3). 261–269. 7 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.

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