Daniel Rudolf
Impact in
- Numerical Analysis top 5%
- Mathematical Approximation and Integration
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Probability and Statistical Research
Papers in
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- Markov Chains and Monte Carlo Methods 24
-
- Mathematical Approximation and Integration 11
- Co-authors
- Nikolaus Schweizer (3 shared papers)Erich Novak (3 shared papers)Marco Schwerdt (14 shared papers)Jens Reimann (11 shared papers)Mario Ullrich (2 shared papers)Aicke Hinrichs (2 shared papers)Christoph Aistleitner (1 shared paper)Art B. Owen (1 shared paper)
- Journals
- Journal of Complexity (4 papers)The Annals of Applied Probability (3 papers)Electronic Communications in Probability (2 papers)Journal of Applied Probability (2 papers)Stochastic Processes and their Applications (2 papers)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Daniel Rudolf
51 papers receiving 509 citations
Peers
Comparison fields: 5 of 40
- Numerical Analysis 130
- Statistics and Probability 220
- Computational Mathematics 3
- Aerospace Engineering 106
- Mathematical Physics 30
Countries citing papers authored by Daniel Rudolf
This map shows the geographic impact of Daniel Rudolf'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 Daniel Rudolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rudolf more than expected).
Fields of papers citing papers by Daniel Rudolf
This network shows the impact of papers produced by Daniel Rudolf. 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 Daniel Rudolf. The network helps show where Daniel Rudolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rudolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 60 | |
| 2 | 2012 | 54 | |
| 3 | 2016 | 42 | |
| 4 | 2017 | 28 | |
| 5 | 2008 | 27 | |
| 6 | 2013 | 20 | |
| 7 | 2015 | 18 | |
| 8 | 2013 | 17 | |
| 9 | 2019 | 16 | |
| 10 | Development of the highly accurate DLR Kalibri Transponder | 2014 | 15 |
| 11 | 2018 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2018 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2019 | 11 | |
| 18 | Absolute Radiometric Calibration of C-Band Transponders with Proven Plausibility | 2014 | 10 |
| 19 | 2015 | 9 | |
| 20 | 2018 | 9 |
About Daniel Rudolf
Daniel Rudolf is a scholar working on Statistics and Probability, Numerical Analysis, Aerospace Engineering, Applied Mathematics and Computational Mathematics, having authored 57 papers that have together received 541 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (24 papers), Calibration and Measurement Techniques (12 papers), Mathematical Approximation and Integration (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers), Radar Systems and Signal Processing (3 papers), Advanced SAR Imaging Techniques (3 papers), Terahertz technology and applications (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Numerical Analysis (130 citations), Statistics and Probability (220 citations), Computational Mathematics (3 citations), Aerospace Engineering (106 citations) and Mathematical Physics (30 citations). Daniel Rudolf has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Nikolaus Schweizer, Erich Novak, Marco Schwerdt, Jens Reimann, Mario Ullrich, Aicke Hinrichs, Christoph Aistleitner, Art B. Owen, Bjorn J. Doring and Josef Dick. Their work appears in journals such as Journal of Complexity, The Annals of Applied Probability, Electronic Communications in Probability, Journal of Applied Probability and Stochastic Processes and their Applications.
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.