Rainer von Sachs
- Statistics and Probability top 1%
- Statistical Methods and Inference 15
- Finance top 2%
- Financial Risk and Volatility Modeling 11
- Signal Processing top 2%
- Time Series Analysis and Forecasting 10
- Applied Mathematics top 2%
- Statistical and numerical algorithms 16
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 12
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- Image and Signal Denoising Methods 32
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- Complex Systems and Time Series Analysis 17
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- Fault Detection and Control Systems 7
- Co-authors
- Guy P. NasonHernando OmbaoMichael H. NeumannGerald KroisandtFrançois RoueffSébastien Van BellegemJonathan RazWensheng Guo
- Partner nations
- BelgiumGermanyUnited States
In The Last Decade
Rainer von Sachs
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 332
- Finance 385
- Signal Processing 375
- Applied Mathematics 240
- Analytical Chemistry 221
Countries citing papers authored by Rainer von Sachs
This map shows the geographic impact of Rainer von Sachs'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 Rainer von Sachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer von Sachs more than expected).
Fields of papers citing papers by Rainer von Sachs
This network shows the impact of papers produced by Rainer von Sachs. 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 Rainer von Sachs. The network helps show where Rainer von Sachs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rainer von Sachs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2017 | 7 | |
| 3 | Functional mixed effects wavelet estimation for spectra of replicated time series | 2016 | 7 |
| 4 | Sequential Nonparametric Detection of High-Dimensional Signals under Dependent Noise | 2015 | 0 |
| 5 | 2015 | 14 | |
| 6 | 2015 | 43 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 3 | |
| 9 | 2012 | 7 | |
| 10 | 2010 | 104 | |
| 11 | 2009 | 12 | |
| 12 | 2008 | 20 | |
| 13 | 2004 | 29 | |
| 14 | 2002 | 30 | |
| 15 | Nonparametric stochastic regression with design-adapted wavelets | 2001 | 15 |
| 16 | Adaptively Wavelet-smoothed Wigner Estimates of Evolutionary Spectra | 1996 | 1 |
| 17 | Modelling and Estimation of the Time--varying Structure of Nonstationary Time Series | 1996 | 2 |
| 18 | 1996 | 33 | |
| 19 | 1995 | 12 | |
| 20 | 1993 | 10 |
About Rainer von Sachs
Rainer von Sachs is a scholar working on Statistics and Probability, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (32 papers), Complex Systems and Time Series Analysis (17 papers), Statistical and numerical algorithms (16 papers), Statistical Methods and Inference (15 papers), Spectroscopy and Chemometric Analyses (12 papers), Financial Risk and Volatility Modeling (11 papers), Time Series Analysis and Forecasting (10 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Statistics and Probability (332 citations), Finance (385 citations) and Signal Processing (375 citations). Rainer von Sachs has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Guy P. Nason, Hernando Ombao, Michael H. Neumann, Gerald Kroisandt, François Roueff, Sébastien Van Bellegem, Jonathan Raz, Wensheng Guo, Wensheng Guo and Véronique Delouille.
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.