Roland C. Deutsch
- Sociology and Political Science top 10%
- Global and Planetary Change top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Health, Toxicology and Mutagenesis
- Atmospheric Science
- Co-authors
- Walter W. PiegorschSusan L. CutterMathew C. SchmidtleinOlav RueppellGianna Serafina MontiPeter FilzmoserBrian HabingJohn M. Grego
- Topics
- Statistical Methods and Bayesian Inference (2 papers)Sport and Mega-Event Impacts (2 papers)Sports, Gender, and Society (2 papers)
- Cited by
- Global and Planetary ChangeSociology and Political ScienceEcology, Evolution, Behavior and Systematics
- Journals
- PLoS ONEBiometricsRisk Analysis
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Roland C. Deutsch
9 papers receiving 343 citations
Peers
Comparison fields: 5 of 71
- Sociology and Political Science 206
- Global and Planetary Change 150
- Ecology, Evolution, Behavior and Systematics 84
- Health, Toxicology and Mutagenesis 55
- Atmospheric Science 39
Countries citing papers authored by Roland C. Deutsch
This map shows the geographic impact of Roland C. Deutsch'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 Roland C. Deutsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland C. Deutsch more than expected).
Fields of papers citing papers by Roland C. Deutsch
This network shows the impact of papers produced by Roland C. Deutsch. 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 Roland C. Deutsch. The network helps show where Roland C. Deutsch may publish in the future.
Co-authorship network of co-authors of Roland C. Deutsch
This figure shows the co-authorship network connecting the top 25 collaborators of Roland C. Deutsch. A scholar is included among the top collaborators of Roland C. Deutsch 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 Roland C. Deutsch. Roland C. Deutsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Maximum likelihood estimation with binary-data regression models: small-sample and large-sample features. | 6 |
| 9 | 312 |
About Roland C. Deutsch
Roland C. Deutsch is a scholar working on Statistics and Probability, Gender Studies and Management Science and Operations Research, having authored 9 papers that have together received 364 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Sport and Mega-Event Impacts (2 papers) and Sports, Gender, and Society (2 papers). The work is most often cited by research in Global and Planetary Change (150 citations), Sociology and Political Science (206 citations) and Ecology, Evolution, Behavior and Systematics (84 citations). Roland C. Deutsch has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Walter W. Piegorsch, Susan L. Cutter, Mathew C. Schmidtlein, Olav Rueppell, Gianna Serafina Monti, Peter Filzmoser, Brian Habing, John M. Grego and Don Edwards. Their work appears in journals such as PLoS ONE, Biometrics and Risk Analysis.
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.