Helmut Finner

1.7k total citations
52 papers, 1.1k citations indexed

About

Helmut Finner is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Helmut Finner has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 29 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Helmut Finner's work include Statistical Methods in Clinical Trials (30 papers), Optimal Experimental Design Methods (24 papers) and Statistical Distribution Estimation and Applications (18 papers). Helmut Finner is often cited by papers focused on Statistical Methods in Clinical Trials (30 papers), Optimal Experimental Design Methods (24 papers) and Statistical Distribution Estimation and Applications (18 papers). Helmut Finner collaborates with scholars based in Germany, United States and Switzerland. Helmut Finner's co-authors include Markus Roters, Klaus Straßburger, Guido Giani, Thorsten Dickhaus, G. Giani, Wenge Guo, Sanat K. Sarkar, Sandra Landwehr, Christian Gieger and Cornelia Huth and has published in prestigious journals such as Journal of the American Statistical Association, The Journal of Clinical Endocrinology & Metabolism and Biometrics.

In The Last Decade

Helmut Finner

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helmut Finner Germany 17 583 359 182 178 96 52 1.1k
Siva Sivaganesan United States 15 325 0.6× 82 0.2× 324 1.8× 202 1.1× 13 0.1× 42 928
Heng Peng China 18 1.3k 2.3× 133 0.4× 201 1.1× 478 2.7× 10 0.1× 59 2.0k
Mervyn J. Silvapulle Australia 18 840 1.4× 255 0.7× 64 0.4× 192 1.1× 7 0.1× 57 1.8k
Thomas S. Richardson United States 21 794 1.4× 159 0.4× 206 1.1× 880 4.9× 13 0.1× 66 1.8k
Dean M. Young United States 15 307 0.5× 61 0.2× 79 0.4× 120 0.7× 9 0.1× 104 881
Yasunori Fujikoshi Japan 23 1.4k 2.4× 209 0.6× 58 0.3× 503 2.8× 9 0.1× 137 1.9k
Niansheng Tang China 21 1.2k 2.1× 216 0.6× 105 0.6× 455 2.6× 7 0.1× 177 1.8k
Greg C. G. Wei United States 10 600 1.0× 129 0.4× 84 0.5× 341 1.9× 3 0.0× 21 1.1k
Lan Wang United States 19 1.0k 1.7× 78 0.2× 155 0.9× 337 1.9× 6 0.1× 60 1.5k
Subramani Mani United States 18 54 0.1× 123 0.3× 415 2.3× 783 4.4× 91 0.9× 36 1.5k

Countries citing papers authored by Helmut Finner

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Finner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helmut Finner

This figure shows the co-authorship network connecting the top 25 collaborators of Helmut Finner. A scholar is included among the top collaborators of Helmut Finner 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 Helmut Finner. Helmut Finner 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.
Finner, Helmut, et al.. (2018). Two-sample Kolmogorov–Smirnov-type tests revisited: Old and new tests in terms of local levels. The Annals of Statistics. 46(6A). 12 indexed citations
2.
Finner, Helmut, et al.. (2017). On the asymptotics of a normal beta-transformed empirical process. Journal of Statistical Planning and Inference. 193. 103–108. 1 indexed citations
3.
Landwehr, Sandra, et al.. (2016). Goodness of fit tests in terms of local levels with special emphasis on higher criticism tests. Bernoulli. 22(3). 13 indexed citations
4.
Finner, Helmut, Klaus Straßburger, Iris M. Heid, et al.. (2010). How to link call rate and p‐values for Hardy–Weinberg equilibrium as measures of genome‐wide SNP data quality. Statistics in Medicine. 29(22). 2347–2358. 9 indexed citations
5.
Straßburger, Klaus, Helmut Finner, Cornelia Huth, et al.. (2008). Variants of thePPARG,IGF2BP2,CDKAL1,HHEX, andTCF7L2Genes Confer Risk of Type 2 Diabetes Independently of BMI in the German KORA Studies. Hormone and Metabolic Research. 40(10). 722–726. 57 indexed citations
6.
Straßburger, Klaus, Frank Bretz, & Helmut Finner. (2007). Ordered Multiple Comparisons with the Best and Their Applications to Dose–Response Studies. Biometrics. 63(4). 1143–1151. 7 indexed citations
7.
Finner, Helmut & Klaus Straßburger. (2007). Step‐up Related Simultaneous Confidence Intervals for MCC and MCB. Biometrical Journal. 49(1). 40–51. 7 indexed citations
8.
Finner, Helmut, Markus Roters, & Thorsten Dickhaus. (2007). Characterizing Density Crossing Points. The American Statistician. 61(1). 28–33. 4 indexed citations
9.
Finner, Helmut & Klaus Straßburger. (2007). A Note on P ‐values for Two‐sided Tests. Biometrical Journal. 49(6). 941–943. 5 indexed citations
10.
Finner, Helmut & Klaus Straßburger. (2006). On δ-Equivalence With the Best in k-Sample Models. Journal of the American Statistical Association. 101(474). 737–746. 4 indexed citations
11.
Finner, Helmut & Klaus Straßburger. (2002). The partitioning principle: a powerful tool in multiple decision theory. The Annals of Statistics. 30(4). 81 indexed citations
12.
Finner, Helmut & Markus Roters. (2002). Multiple hypotheses testing and expected number of type I. errors. The Annals of Statistics. 30(1). 66 indexed citations
13.
Finner, Helmut & Guido Giani. (2001). Least Favorable Parameter Configurations for a Step-down Subset Selection Procedure. Biometrical Journal. 43(5). 543–552. 4 indexed citations
14.
Finner, Helmut & Markus Roters. (2000). On the Critical Value Behaviour of Multiple Decision Procedures. Scandinavian Journal of Statistics. 27(3). 563–573. 5 indexed citations
15.
Finner, Helmut. (1994). Two-Sided Tests and One-Sided Confidence Bounds. The Annals of Statistics. 22(3). 11 indexed citations
16.
Finner, Helmut & G. Giani. (1994). Closed subset selection procedures for selecting good populations. Journal of Statistical Planning and Inference. 38(2). 179–199. 14 indexed citations
17.
Finner, Helmut. (1993). On a Monotonicity Problem in Step-Down Multiple Test Procedures. Journal of the American Statistical Association. 88(423). 920–923. 237 indexed citations
18.
Finner, Helmut & Markus Roters. (1993). Distribution functions and log-concavity. Communication in Statistics- Theory and Methods. 22(8). 2381–2396. 14 indexed citations
19.
Finner, Helmut. (1990). Some New Inequalities for the Range Distribution, with Application to the Determination of Optimum Significance Levels of Multiple Range Tests. Journal of the American Statistical Association. 85(409). 191–194. 16 indexed citations
20.
Finner, Helmut. (1990). Some New Inequalities for the Range Distribution, with Application to the Determination of Optimum Significance Levels of Multiple Range Tests. Journal of the American Statistical Association. 85(409). 191–191. 5 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

Breakdown of academic impact, for papers by Siva Sivaganesan Breakdown of academic impact, for papers by Heng Peng Breakdown of academic impact, for papers by Mervyn J. Silvapulle Breakdown of academic impact, for papers by Thomas S. Richardson Breakdown of academic impact, for papers by Dean M. Young Breakdown of academic impact, for papers by Yasunori Fujikoshi Breakdown of academic impact, for papers by Niansheng Tang Breakdown of academic impact, for papers by Greg C. G. Wei Breakdown of academic impact, for papers by Lan Wang Breakdown of academic impact, for papers by Subramani Mani
Rankless by CCL
2026