Sonja Kuhnt

764 total citations
55 papers, 418 citations indexed

About

Sonja Kuhnt is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Sonja Kuhnt has authored 55 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 17 papers in Statistics, Probability and Uncertainty and 14 papers in Computational Theory and Mathematics. Recurrent topics in Sonja Kuhnt's work include Advanced Multi-Objective Optimization Algorithms (13 papers), Optimal Experimental Design Methods (12 papers) and Probabilistic and Robust Engineering Design (11 papers). Sonja Kuhnt is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (13 papers), Optimal Experimental Design Methods (12 papers) and Probabilistic and Robust Engineering Design (11 papers). Sonja Kuhnt collaborates with scholars based in Germany, France and Netherlands. Sonja Kuhnt's co-authors include Olivier Roustant, David M. Steinberg, Roland Fried, Claudia Becker, Bertrand Iooss, Sigrid Wenzel, Wolfgang Tillmann, Sabine Kirchhoff, Peter Lipp and Laurent Carraro and has published in prestigious journals such as Journal of Statistical Software, Reliability Engineering & System Safety and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Sonja Kuhnt

52 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Kuhnt Germany 12 124 76 69 60 57 55 418
Xuchen Han United States 8 115 0.9× 64 0.8× 134 1.9× 61 1.0× 26 0.5× 16 542
Loïc Brevault France 12 242 2.0× 17 0.2× 161 2.3× 59 1.0× 64 1.1× 32 468
Mickaël Binois France 11 98 0.8× 35 0.5× 198 2.9× 145 2.4× 163 2.9× 29 492
William A. Brenneman United States 11 103 0.8× 38 0.5× 117 1.7× 165 2.8× 41 0.7× 24 361
Dragan Jukić Croatia 14 88 0.7× 142 1.9× 34 0.5× 56 0.9× 16 0.3× 35 399
Ravindra Singh India 15 57 0.5× 214 2.8× 13 0.2× 25 0.4× 108 1.9× 50 1.5k
Torsten Bohlin Sweden 13 62 0.5× 18 0.2× 26 0.4× 23 0.4× 140 2.5× 23 627
Sanat Kumar Mahato India 12 43 0.3× 37 0.5× 82 1.2× 58 1.0× 106 1.9× 51 446
Onur Köksoy Türkiye 10 102 0.8× 21 0.3× 129 1.9× 172 2.9× 21 0.4× 17 398
Ruixue Liu China 9 79 0.6× 99 1.3× 24 0.3× 17 0.3× 72 1.3× 24 435

Countries citing papers authored by Sonja Kuhnt

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Kuhnt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Kuhnt

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Kuhnt. A scholar is included among the top collaborators of Sonja Kuhnt 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 Sonja Kuhnt. Sonja Kuhnt 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.
Kuhnt, Sonja, et al.. (2022). Metamodel‐based optimization of shift planning in high‐bay warehouse operations. Quality and Reliability Engineering International. 39(2). 590–608. 1 indexed citations
2.
Kuhnt, Sonja, et al.. (2020). Detection of circlelike overlapping objects in thermal spray images. Quality and Reliability Engineering International. 36(8). 2639–2659. 4 indexed citations
3.
Roustant, Olivier, et al.. (2018). Support indices: Measuring the effect of input variables over their supports. Reliability Engineering & System Safety. 187. 17–27. 4 indexed citations
4.
Kuhnt, Sonja, et al.. (2015). An angle-based multivariate functional pseudo-depth for shape outlier detection. Journal of Multivariate Analysis. 146. 325–340. 13 indexed citations
5.
Kuhnt, Sonja, et al.. (2015). Numerical algebraic fan of a design for statistical model building. Statistica Sinica. 1 indexed citations
6.
Roustant, Olivier, et al.. (2014). Crossed-derivative based sensitivity measures for interaction screening. Mathematics and Computers in Simulation. 105. 105–118. 26 indexed citations
7.
Kuhnt, Sonja, et al.. (2014). Modeling of a Thermal Spraying Process by Gaussian Chain Graphs. Quality Technology & Quantitative Management. 11(1). 85–98. 6 indexed citations
8.
Taeger, Dirk & Sonja Kuhnt. (2014). Statistical Hypothesis Testing with SAS and R. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
9.
Becker, Claudia, Roland Fried, & Sonja Kuhnt. (2013). Robustness and complex data structures : Festschrift in honour of Ursula Gather. CERN Document Server (European Organization for Nuclear Research). 26 indexed citations
10.
Kuhnt, Sonja, et al.. (2012). On different strategies for the prediction of coating properties in a HVOF process. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 5 indexed citations
11.
Kuhnt, Sonja, et al.. (2012). Prediction of in-flight particle properties in thermal spraying with additive day-effects. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 3 indexed citations
12.
Roustant, Olivier, et al.. (2011). Data-driven Kriging models based on FANOVA-decomposition. Statistics and Computing. 22(3). 723–738. 20 indexed citations
13.
Brosius, Alexander, et al.. (2010). Strategies for springback compensation regarding process robustness. Production Engineering. 5(1). 49–57. 9 indexed citations
14.
Kateri, Maria, et al.. (2009). Asymmetry models for square contingency tables: exact tests via algebraic statistics. Statistics and Computing. 21(1). 55–67. 2 indexed citations
15.
Kuhnt, Sonja, et al.. (2007). Bowker's test for symmetry and modifications within the algebraic framework. Computational Statistics & Data Analysis. 51(9). 4124–4142. 26 indexed citations
16.
Kuhnt, Sonja, et al.. (2005). Bowker's Test for Symmetry and Modifications within the Algebraic Framework. Technical reports. 3 indexed citations
17.
Kuhnt, Sonja, et al.. (2004). A strategy of robust parameter design for multiple responses. Statistical Modelling. 4(4). 249–264. 5 indexed citations
18.
Schürmann, Christoph, Barbara Griefahn, & Sonja Kuhnt. (2004). Annoyance from Multiple Transportation Noise: Statistical Models and Outlier Detection. Methods of Information in Medicine. 43(5). 510–515. 2 indexed citations
19.
Boucher, Xavier, et al.. (2003). Integrated modelling and simulation of inter-organisational business processes. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Kirchhoff, Sabine, et al.. (2001). Fragebogen. VS Verlag für Sozialwissenschaften eBooks. 1 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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