Gertraud Malsiner‐Walli
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Signal Processing
- Molecular Biology
- Economics and Econometrics
- Co-authors
- Bettina GrünSylvia Frühwirth‐SchnatterHelga WagnerHans RittmannsbergerOgnian KalevMichael SonnbergerRobert PichlerMartin Barth
- Topics
- Statistical Methods and Bayesian Inference (7 papers)Bayesian Methods and Mixture Models (7 papers)Statistical Methods and Inference (5 papers)
In The Last Decade
Gertraud Malsiner‐Walli
14 papers receiving 227 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 134
- Statistics and Probability 87
- Signal Processing 25
- Molecular Biology 23
- Economics and Econometrics 18
Countries citing papers authored by Gertraud Malsiner‐Walli
This map shows the geographic impact of Gertraud Malsiner‐Walli'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 Gertraud Malsiner‐Walli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gertraud Malsiner‐Walli more than expected).
Fields of papers citing papers by Gertraud Malsiner‐Walli
This network shows the impact of papers produced by Gertraud Malsiner‐Walli. 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 Gertraud Malsiner‐Walli. The network helps show where Gertraud Malsiner‐Walli may publish in the future.
Co-authorship network of co-authors of Gertraud Malsiner‐Walli
This figure shows the co-authorship network connecting the top 25 collaborators of Gertraud Malsiner‐Walli. A scholar is included among the top collaborators of Gertraud Malsiner‐Walli 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 Gertraud Malsiner‐Walli. Gertraud Malsiner‐Walli 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 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | Bayesian Effect Fusion for Categorical Predictors [R package effectFusion version 1.1.2] | 1 |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 34 | |
| 13 | 43 | |
| 14 | 93 | |
| 15 | 7 |
About Gertraud Malsiner‐Walli
Gertraud Malsiner‐Walli is a scholar working on Statistics and Probability, Biological Psychiatry and Artificial Intelligence, having authored 15 papers that have together received 228 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Statistics and Probability (87 citations), Artificial Intelligence (134 citations) and Signal Processing (25 citations). Gertraud Malsiner‐Walli has collaborated with scholars based in Austria and Czechia. Frequent co-authors include Bettina Grün, Sylvia Frühwirth‐Schnatter, Helga Wagner, Hans Rittmannsberger, Ognian Kalev, Michael Sonnberger, Robert Pichler, Martin Barth, Peter Malík and Raffi Topakian. Their work appears in journals such as Bipolar Disorders, Journal of Clinical Psychopharmacology and Journal of Computational and Graphical 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.