Guenther Walther
- Artificial Intelligence top 5%
- Molecular Biology
- Statistics and Probability top 2%
- Cognitive Neuroscience
- Nuclear and High Energy Physics
- Co-authors
- Robert TibshiraniP. A. SturrockM. S. WheatlandLeonore A. HerzenbergDarya OrlovaWayne MooreDavid R. ParksKaspar Rufibach
- Topics
- Bayesian Methods and Mixture Models (9 papers)Statistical Methods and Inference (9 papers)Single-cell and spatial transcriptomics (7 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Guenther Walther
31 papers receiving 962 citations
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 329
- Molecular Biology 256
- Statistics and Probability 227
- Cognitive Neuroscience 73
- Nuclear and High Energy Physics 64
Countries citing papers authored by Guenther Walther
This map shows the geographic impact of Guenther Walther'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 Guenther Walther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guenther Walther more than expected).
Fields of papers citing papers by Guenther Walther
This network shows the impact of papers produced by Guenther Walther. 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 Guenther Walther. The network helps show where Guenther Walther may publish in the future.
Co-authorship network of co-authors of Guenther Walther
This figure shows the co-authorship network connecting the top 25 collaborators of Guenther Walther. A scholar is included among the top collaborators of Guenther Walther 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 Guenther Walther. Guenther Walther is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 14 | |
| 7 | 59 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 51 | |
| 11 | 16 | |
| 12 | 40 | |
| 13 | 31 | |
| 14 | 47 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 21 | |
| 19 | 31 | |
| 20 | 23 |
About Guenther Walther
Guenther Walther is a scholar working on Statistics and Probability, Theoretical Computer Science and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Inference (9 papers) and Single-cell and spatial transcriptomics (7 papers). The work is most often cited by research in Statistics and Probability (227 citations), Artificial Intelligence (329 citations) and Biophysics (53 citations). Guenther Walther has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Robert Tibshirani, P. A. Sturrock, M. S. Wheatland, Leonore A. Herzenberg, Darya Orlova, Wayne Moore, David R. Parks, Kaspar Rufibach, Eliver Ghosn and Michael Baiocchi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.