Holger Müller
- Statistics and Probability top 2%
- Artificial Intelligence
- Control and Systems Engineering
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Théo GasserF. P. SchäferThomas A. SchmittZhenhua LinH.C. FurrJames A. OlsonKenneth SongA J Clifford
- Topics
- Advanced Statistical Methods and Models (3 papers)Statistical and numerical algorithms (2 papers)Statistical Methods and Inference (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Holger Müller
10 papers receiving 379 citations
Peers
Comparison fields: 5 of 104
- Statistics and Probability 250
- Artificial Intelligence 75
- Control and Systems Engineering 55
- Management Science and Operations Research 53
- Statistics, Probability and Uncertainty 44
Countries citing papers authored by Holger Müller
This map shows the geographic impact of Holger Müller'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 Holger Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Müller more than expected).
Fields of papers citing papers by Holger Müller
This network shows the impact of papers produced by Holger Müller. 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 Holger Müller. The network helps show where Holger Müller may publish in the future.
Co-authorship network of co-authors of Holger Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Holger Müller. A scholar is included among the top collaborators of Holger Müller 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 Holger Müller. Holger Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | On the boundary kernel method for non-parametric curve estimation near endpoints | 35 |
| 6 | 17 | |
| 7 | Kernel estimators of zeros and of location and size of extrema of regression functions | 43 |
| 8 | Kernel estimation techniques for the analysis of clinical curves. | 1 |
| 9 | Estimating regression functions and their derivatives by the kernel method | 300 |
| 10 | 19 |
About Holger Müller
Holger Müller is a scholar working on Computational Mathematics, Statistics and Probability and Applied Mathematics, having authored 10 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (3 papers), Statistical and numerical algorithms (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (250 citations), Statistics, Probability and Uncertainty (44 citations) and Management Science and Operations Research (53 citations). Holger Müller has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Théo Gasser, F. P. Schäfer, Thomas A. Schmitt, Zhenhua Lin, H.C. Furr, James A. Olson, Kenneth Song, A J Clifford, Peter Ihm and Sven Herrmann. Their work appears in journals such as Biometrics, Biometrika and Optics Communications.
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.