Ansgar Steland

728 total citations
72 papers, 411 citations indexed

About

Ansgar Steland is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance. According to data from OpenAlex, Ansgar Steland has authored 72 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistics and Probability, 33 papers in Statistics, Probability and Uncertainty and 11 papers in Finance. Recurrent topics in Ansgar Steland's work include Advanced Statistical Process Monitoring (32 papers), Statistical Methods and Inference (30 papers) and Advanced Statistical Methods and Models (21 papers). Ansgar Steland is often cited by papers focused on Advanced Statistical Process Monitoring (32 papers), Statistical Methods and Inference (30 papers) and Advanced Statistical Methods and Models (21 papers). Ansgar Steland collaborates with scholars based in Germany, Poland and Canada. Ansgar Steland's co-authors include Ewaryst Rafajłowicz, M. Pawlak, Andrey Pepelyshev, Henryk Zähle, Rainer von Sachs, Krzysztof Szajowski, Nina Golyandina, W. Herrmann, Andreas Sommer and Bianca Miterski and has published in prestigious journals such as IEEE Transactions on Information Theory, Progress in Photovoltaics Research and Applications and Computational Statistics & Data Analysis.

In The Last Decade

Ansgar Steland

65 papers receiving 396 citations

Peers

Ansgar Steland

SPU

FINAN

MSOR

Haeran Cho United Kingdom

Clifford Lam United Kingdom

Aldo Goia Italy

Zaven A. Karian United States

Myoungshic Jhun South Korea

Davy Paindaveine Belgium

Andriëtte Bekker South Africa

Cheng–Der Fuh Taiwan

Abd Al-Aziz Hosni El-Bagoury Egypt

Haeran Cho United Kingdom

Ansgar Steland

196 ×0.9

42 ×0.3

SPU

63 ×0.9

FINAN

101 ×1.6

50 ×1.1

MSOR

Citations per year, relative to Ansgar Steland Ansgar Steland (= 1×) peers Haeran Cho

Countries citing papers authored by Ansgar Steland

Since Specialization

Citations

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

Fields of papers citing papers by Ansgar Steland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ansgar Steland

This figure shows the co-authorship network connecting the top 25 collaborators of Ansgar Steland. A scholar is included among the top collaborators of Ansgar Steland 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 Ansgar Steland. Ansgar Steland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Steland, Ansgar. (2025). Detection of suspicious areas in non-stationary Gaussian fields and locally averaged non-Gaussian linear fields. Journal of Statistical Planning and Inference. 238. 106273–106273.

Ruggeri, Fabrizio, David Banks, William S. Cleveland, et al.. (2025). Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?. Applied Stochastic Models in Business and Industry. 41(2).

Steland, Ansgar, et al.. (2020). Detecting changes in the second moment structure of high-dimensional sensor-type data in a K-sample setting. Sequential Analysis. 39(3). 336–366. 1 indexed citations

Steland, Ansgar. (2018). Shrinkage for covariance estimation: asymptotics, confidence intervals, bounds and applications in sensor monitoring and finance. Statistical Papers. 59(4). 1441–1462. 5 indexed citations

Steland, Ansgar, et al.. (2018). Automatic processing and solar cell detection in photovoltaic electroluminescence images. Integrated Computer-Aided Engineering. 26(2). 123–137. 20 indexed citations

Steland, Ansgar & Rainer von Sachs. (2017). Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage. Stochastic Processes and their Applications. 128(8). 2816–2855. 7 indexed citations

Steland, Ansgar. (2017). Fusing photovoltaic data for improved confidence intervals. AIMS energy. 5(1). 125–148. 5 indexed citations

Steland, Ansgar. (2015). Asymptotics for random functions moderated by dependent noise. Statistical Inference for Stochastic Processes. 19(3). 363–387. 2 indexed citations

Herrmann, W., et al.. (2009). Sampling Procedures for the Validation of PV Module Output Power Specification. EU PVSEC. 3540–3547. 3 indexed citations

10.

Steland, Ansgar & Henryk Zähle. (2009). Sampling inspection by variables: nonparametric setting. Statistica Neerlandica. 63(1). 101–123. 11 indexed citations

11.

Steland, Ansgar. (2008). Sequentially Updated Residuals and Detection of Stationary Errors in Polynomial Regression Models. Sequential Analysis. 27(3). 304–329. 6 indexed citations

12.

Rafajłowicz, Ewaryst, M. Pawlak, & Ansgar Steland. (2008). Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression. International Journal of Applied Mathematics and Computer Science. 18(1). 49–61. 12 indexed citations

13.

Rafajłowicz, Ewaryst & Ansgar Steland. (2008). A binary control chart to detect small jumps. Statistics. 43(3). 295–311. 7 indexed citations

14.

Steland, Ansgar. (2006). Book Review: Fitting Models to Biological Data Using Linear and Nonlinear Regression. By Harvey Motulsky und Arthur Christopoulos. Biometrical Journal. 48(2). 327–327. 4 indexed citations

15.

Steland, Ansgar. (2004). Sequential control of time series by functionals of kernal-weighted empirical processes under local alternatives. Metrika. 60(3). 229–249. 9 indexed citations

16.

Steland, Ansgar. (2004). Jump-Preserving Monitoring of Depending Time Series Using Pilot Estimators. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 21. 343–366. 8 indexed citations

17.

Steland, Ansgar. (2004). NP-Optimal Kernels for Nonparametric Sequential Detection Rules. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 18(2). 149–163. 1 indexed citations

18.

Steland, Ansgar. (2003). Sequential control of time series by functionals of kernel-weighted empirical processes under local alternatives. Econstor (Econstor). 1 indexed citations

19.

Böhringer, Stefan, Cornelia Hardt, Bianca Miterski, Ansgar Steland, & Jörg T. Epplen. (2003). Multilocus statistics to uncover epistasis and heterogeneity in complex diseases: revisiting a set of multiple sclerosis data. European Journal of Human Genetics. 11(8). 573–584. 5 indexed citations

20.

Schmid, Wolfgang & Ansgar Steland. (2000). Sequential control of non-stationary processes by nonparametric kernel control charts. SSRN Electronic Journal. 84(3). 315–336. 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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