Daniel Rudolf
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Numerical Analysis top 10%
- Mathematical Approximation and Integration
Papers in
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- Markov Chains and Monte Carlo Methods 17
- Statistical Methods and Inference 11
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Marco Schwerdt (13 shared papers)Erich Novak (3 shared papers)Jens Reimann (10 shared papers)Björn Döring (8 shared papers)Mario Ullrich (1 shared paper)Josef Dick (3 shared papers)Stephan Dill (5 shared papers)Markus Peichl (5 shared papers)
- Journals
- Journal of Complexity (3 papers)Advances in Applied Probability (2 papers)The Annals of Applied Probability (2 papers)Remote Sensing (2 papers)The Annals of Applied Statistics (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Daniel Rudolf
38 papers receiving 307 citations
Peers
Comparison fields: 5 of 55
- Statistics and Probability 130
- Numerical Analysis 63
- Statistics, Probability and Uncertainty 36
- Computational Mathematics 3
- Environmental Engineering 67
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 40 | |
| 2 | 2016 | 34 | |
| 3 | 2008 | 21 | |
| 4 | 2013 | 18 | |
| 5 | Development of the highly accurate DLR Kalibri Transponder | 2014 | 15 |
| 6 | 2013 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2013 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2013 | 11 | |
| 13 | Absolute Radiometric Calibration of C-Band Transponders with Proven Plausibility | 2014 | 10 |
| 14 | 2018 | 9 | |
| 15 | 2015 | 9 | |
| 16 | Comparison of Absolute Radiometric Transponder Calibration Strategies | 2014 | 7 |
| 17 | 2015 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2012 | 5 |
About Daniel Rudolf
Daniel Rudolf is a scholar working on Statistics and Probability, Artificial Intelligence, Aerospace Engineering, Environmental Engineering and Numerical Analysis, having authored 45 papers that have together received 323 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (17 papers), Statistical Methods and Inference (11 papers), Soil Moisture and Remote Sensing (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers), Mathematical Approximation and Integration (8 papers), Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (5 papers) and Advanced SAR Imaging Techniques (4 papers). The work is most often cited by research in Statistics and Probability (130 citations), Numerical Analysis (63 citations), Statistics, Probability and Uncertainty (36 citations), Computational Mathematics (3 citations) and Environmental Engineering (67 citations). Daniel Rudolf has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Marco Schwerdt, Erich Novak, Jens Reimann, Björn Döring, Mario Ullrich, Josef Dick, Stephan Dill, Markus Peichl, Kersten Schmidt and Núria Tous Ramon. Their work appears in journals such as Journal of Complexity, Advances in Applied Probability, The Annals of Applied Probability, Remote Sensing and The Annals of Applied Statistics.
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.