Friedrich Schmid

1.4k total citations
39 papers, 849 citations indexed

About

Friedrich Schmid is a scholar working on Statistics and Probability, Finance and Economics and Econometrics. According to data from OpenAlex, Friedrich Schmid has authored 39 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 18 papers in Finance and 9 papers in Economics and Econometrics. Recurrent topics in Friedrich Schmid's work include Financial Risk and Volatility Modeling (17 papers), Advanced Statistical Methods and Models (12 papers) and Statistical Methods and Inference (8 papers). Friedrich Schmid is often cited by papers focused on Financial Risk and Volatility Modeling (17 papers), Advanced Statistical Methods and Models (12 papers) and Statistical Methods and Inference (8 papers). Friedrich Schmid collaborates with scholars based in Germany and Switzerland. Friedrich Schmid's co-authors include Rafael Schmidt, A. Schmidt, Mark Trede, Martin Schader, Jörg Mutterlose, Oliver Grothe, Gabriel Frahm, Karl Mosler, Jeremy Penzer and Stefan Kraft and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Statistician and Computational Statistics & Data Analysis.

In The Last Decade

Friedrich Schmid

37 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Friedrich Schmid Germany 16 338 271 204 94 88 39 849
Somdeb Lahiri India 5 181 0.5× 245 0.9× 233 1.1× 69 0.7× 115 1.3× 68 777
KK 12 176 0.5× 201 0.7× 186 0.9× 40 0.4× 89 1.0× 18 797
Vasco d'Orey United States 4 109 0.3× 206 0.8× 209 1.0× 52 0.6× 59 0.7× 8 622
Berry Wilson United States 15 457 1.4× 86 0.3× 408 2.0× 189 2.0× 40 0.5× 32 1.2k
Allan McQuarrie United States 9 58 0.2× 300 1.1× 114 0.6× 77 0.8× 115 1.3× 13 1.1k
Jiahui Wang China 9 217 0.6× 110 0.4× 316 1.5× 58 0.6× 84 1.0× 14 767
Mark C. Otto United States 11 102 0.3× 137 0.5× 186 0.9× 112 1.2× 146 1.7× 18 897
Zhenlin Yang Singapore 20 57 0.2× 264 1.0× 464 2.3× 129 1.4× 71 0.8× 101 1.2k
Arthur Charpentier France 15 222 0.7× 143 0.5× 197 1.0× 101 1.1× 116 1.3× 58 674
Daniel Barry Ireland 10 72 0.2× 301 1.1× 123 0.6× 86 0.9× 54 0.6× 28 1.0k

Countries citing papers authored by Friedrich Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Friedrich Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friedrich Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Friedrich Schmid. A scholar is included among the top collaborators of Friedrich Schmid 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 Friedrich Schmid. Friedrich Schmid 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.
Schmid, Friedrich, et al.. (2012). Nonparametric estimation of copula-based measures of multivariate association from contingency tables. Journal of Statistical Computation and Simulation. 84(4). 781–797. 4 indexed citations
2.
Grothe, Oliver & Friedrich Schmid. (2011). Kendall's 𝒲 Reconsidered. Communications in Statistics - Simulation and Computation. 40(2). 285–305. 6 indexed citations
3.
Schmid, Friedrich, et al.. (2011). Mutual information as a measure of multivariate association: analytical properties and statistical estimation. Journal of Statistical Computation and Simulation. 82(9). 1257–1274. 17 indexed citations
4.
Schmid, Friedrich, et al.. (2010). A multivariate version of Hoeffding’s Phi-Square. Journal of Multivariate Analysis. 101(10). 2571–2586. 32 indexed citations
5.
Schmid, Friedrich, et al.. (2010). On testing equality of pairwise rank correlations in a multivariate random vector. Journal of Multivariate Analysis. 101(10). 2598–2615. 15 indexed citations
6.
Schmid, Friedrich, et al.. (2010). Wahrscheinlichkeitsrechnung und schließende Statistik. Springer-Lehrbuch. 4 indexed citations
7.
Schmid, Friedrich & Rafael Schmidt. (2006). Multivariate conditional versions of Spearman's rho and related measures of tail dependence. Journal of Multivariate Analysis. 98(6). 1123–1140. 71 indexed citations
8.
Schmid, Friedrich & Rafael Schmidt. (2006). Nonparametric inference on multivariate versions of Blomqvist’s beta and related measures of tail dependence. Metrika. 66(3). 323–354. 38 indexed citations
9.
Schmid, Friedrich. (2005). A note on third degree stochastic dominance. OR Spectrum. 27(4). 653–655. 3 indexed citations
10.
Schmid, Friedrich, et al.. (2005). Nonparametric estimation of the lower tail dependence λLin bivariate copulas. Journal of Applied Statistics. 32(4). 387–407. 36 indexed citations
11.
Mosler, Karl & Friedrich Schmid. (2003). Beschreibende Statistik und Wirtschaftsstatistik. Springer-Lehrbuch. 1 indexed citations
12.
Schmid, Friedrich & Mark Trede. (1998). A Kolmogorov-type test for second-order stochastic dominance. Statistics & Probability Letters. 37(2). 183–193. 11 indexed citations
13.
Schmid, Friedrich & Mark Trede. (1996). Testing for First Order Stochastic Dominance in Either Direction. Computational Statistics. 11. 9 indexed citations
14.
Schmid, Friedrich, et al.. (1996). A non standard χ2-test of fit for testing uniformity with unknown limits. Statistical Papers. 37(4). 365–373. 1 indexed citations
15.
Schmid, Friedrich & Mark Trede. (1996). Testing for First-Order Stochastic Dominance: A New Distribution-Free Test. Journal of the Royal Statistical Society Series D (The Statistician). 45(3). 371–371. 28 indexed citations
16.
Schmid, Friedrich & Mark Trede. (1995). A distribution free test for the two sample problem for general alternatives. Computational Statistics & Data Analysis. 20(4). 409–419. 22 indexed citations
17.
Schader, Martin & Friedrich Schmid. (1989). Two Rules of Thumb for the Approximation of the Binomial Distribution by the Normal Distribution. The American Statistician. 43(1). 23–24. 32 indexed citations
18.
Schader, Martin & Friedrich Schmid. (1988). Small sample properties of the maximum likelihood estimators of the parameters μ and σ from a grouped sample of a normal population. Communications in Statistics - Simulation and Computation. 17(1). 229–239. 4 indexed citations
19.
Schmid, Friedrich, et al.. (1982). Die Belemniten der Inoceramen-Mergel (Buntmergelserie, Ultrahelvetikum, Unter-Maastricht) des Moos-Grabens SE Siegsdorf (Oberbayern) und ihre stratigraphische Bedeutung. Biodiversity Heritage Library (Smithsonian Institution). 14 indexed citations
20.
Schmid, Friedrich. (1969). On the nerve distribution of the temporomandibular joint capsule. Oral Surgery Oral Medicine Oral Pathology. 28(1). 63–65. 13 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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