Andreas Maurer
- Plant Science top 2%
- Genetics top 5%
- Molecular Biology
- Artificial Intelligence top 5%
- Agronomy and Crop Science top 5%
- Co-authors
- Klaus PillenMassimiliano PontilIngolf CascorbiIvar RootsJürgen BrockmöllerKarl SperlingNikolaos DrakoulisRajiv Sharma
- Topics
- Wheat and Barley Genetics and Pathology (36 papers)Genetic Mapping and Diversity in Plants and Animals (21 papers)Genetics and Plant Breeding (17 papers)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Andreas Maurer
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 149
- Plant Science 995
- Genetics 472
- Molecular Biology 323
- Artificial Intelligence 270
- Agronomy and Crop Science 197
Countries citing papers authored by Andreas Maurer
This map shows the geographic impact of Andreas Maurer'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 Andreas Maurer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Maurer more than expected).
Fields of papers citing papers by Andreas Maurer
This network shows the impact of papers produced by Andreas Maurer. 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 Andreas Maurer. The network helps show where Andreas Maurer may publish in the future.
Co-authorship network of co-authors of Andreas Maurer
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Maurer. A scholar is included among the top collaborators of Andreas Maurer 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 Andreas Maurer. Andreas Maurer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 15 | |
| 5 | 82 | |
| 6 | Concentration inequalities under sub-Gaussian and sub-exponential conditions | 3 |
| 7 | 26 | |
| 8 | 21 | |
| 9 | Estimating weighted areas under the ROC curve | 1 |
| 10 | Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning | 12 |
| 11 | 18 | |
| 12 | A Second-order Look at Stability and Generalization | 6 |
| 13 | 17 | |
| 14 | 4 | |
| 15 | An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning | 2 |
| 16 | Excess risk bounds for multitask learning with trace norm regularization | 4 |
| 17 | 3 | |
| 18 | Bounds for Linear Multi-Task Learning | 61 |
| 19 | 8 | |
| 20 | Algorithmic Stability and Meta-Learning | 18 |
About Andreas Maurer
Andreas Maurer is a scholar working on Agronomy and Crop Science, Plant Science and Genetics, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (36 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetics and Plant Breeding (17 papers). The work is most often cited by research in Plant Science (995 citations), Agronomy and Crop Science (197 citations) and Genetics (472 citations). Andreas Maurer has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Klaus Pillen, Massimiliano Pontil, Ingolf Cascorbi, Ivar Roots, Jürgen Brockmöller, Karl Sperling, Nikolaos Drakoulis, Rajiv Sharma, Andrew J. Flavell and Yong Jiang. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.
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.