Ernst Stadlober
- Environmental Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Artificial Intelligence
- Statistics and Probability top 5%
- Automotive Engineering
- Co-authors
- Siegfried HörmannH ManzkePeter GrzybekGerhard RappitschMiroslav KolářJaroslav MichálekM. F. KocherDaniela Fuchs-Hanusch
- Topics
- Advanced Statistical Methods and Models (6 papers)Air Quality and Health Impacts (5 papers)Bayesian Methods and Mixture Models (5 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Ernst Stadlober
32 papers receiving 319 citations
Peers
Comparison fields: 5 of 92
- Environmental Engineering 115
- Health, Toxicology and Mutagenesis 105
- Artificial Intelligence 84
- Statistics and Probability 54
- Automotive Engineering 40
Countries citing papers authored by Ernst Stadlober
This map shows the geographic impact of Ernst Stadlober'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 Ernst Stadlober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernst Stadlober more than expected).
Fields of papers citing papers by Ernst Stadlober
This network shows the impact of papers produced by Ernst Stadlober. 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 Ernst Stadlober. The network helps show where Ernst Stadlober may publish in the future.
Co-authorship network of co-authors of Ernst Stadlober
This figure shows the co-authorship network connecting the top 25 collaborators of Ernst Stadlober. A scholar is included among the top collaborators of Ernst Stadlober 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 Ernst Stadlober. Ernst Stadlober is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 5 | |
| 3 | Why the lognormal distribution seems to be a good model in quantitative film analysis | 1 |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | Mathematical Aspects and Modifications of Fucks´ Generalized Poisson Distribution (GPD) | 1 |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | C-Rand: A Package for generating Nonuniform Random Variates | 7 |
| 16 | 12 | |
| 17 | 24 | |
| 18 | 31 | |
| 19 | 1 | |
| 20 | Neue spirometrische Bezugswerte für Kinder | 2 |
About Ernst Stadlober
Ernst Stadlober is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Hardware and Architecture, having authored 34 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Air Quality and Health Impacts (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Environmental Engineering (115 citations), Health, Toxicology and Mutagenesis (105 citations) and Statistics and Probability (54 citations). Ernst Stadlober has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Siegfried Hörmann, H Manzke, Peter Grzybek, Gerhard Rappitsch, Miroslav Kolář, Jaroslav Michálek, M. F. Kocher, Daniela Fuchs-Hanusch, Maximilian S. Zach and Reinhard Brandner. Their work appears in journals such as Atmospheric Environment, Measurement and Journal of Computational and Applied Mathematics.
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.