Gina‐Maria Pomann
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistics Education and Methodologies
- Advanced Statistical Methods and Models
Papers in
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- Statistics Education and Methodologies 7
- Statistical Methods and Inference 3
- Statistical Methods and Bayesian Inference 2
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- Genetics, Bioinformatics, and Biomedical Research 5
- Co-authors
- Ana‐Maria Staicu (4 shared papers)Sujit K. Ghosh (2 shared papers)Wolfgang C. Winkelmayer (1 shared paper)Benjamin A. Goldstein (2 shared papers)Steven Wolf (9 shared papers)Jonathan C. Routh (9 shared papers)John S. Wiener (5 shared papers)Kishan S. Parikh (1 shared paper)
- Journals
- Disability and health journal (2 papers)Statistics in Medicine (2 papers)Journal of Pediatric Urology (2 papers)Journal of Reconstructive Microsurgery (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Gina‐Maria Pomann
34 papers receiving 255 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 56
- Statistics, Probability and Uncertainty 12
- Computational Mathematics 1
- Information Systems and Management 10
- Physiology 33
Countries citing papers authored by Gina‐Maria Pomann
This map shows the geographic impact of Gina‐Maria Pomann'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 Gina‐Maria Pomann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina‐Maria Pomann more than expected).
Fields of papers citing papers by Gina‐Maria Pomann
This network shows the impact of papers produced by Gina‐Maria Pomann. 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 Gina‐Maria Pomann. The network helps show where Gina‐Maria Pomann may publish in the future.
Co-authors
The 25 scholars most cited alongside Gina‐Maria Pomann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 38 | |
| 2 | 2016 | 38 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 18 | |
| 5 | 2017 | 12 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2016 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2015 | 3 |
About Gina‐Maria Pomann
Gina‐Maria Pomann is a scholar working on Statistics and Probability, Molecular Biology, Public Health, Environmental and Occupational Health, Surgery and Biomedical Engineering, having authored 41 papers that have together received 259 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (7 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Health and Medical Research Impacts (4 papers), Interdisciplinary Research and Collaboration (3 papers), Statistical Methods and Inference (3 papers), Biomedical and Engineering Education (3 papers), Pediatric Urology and Nephrology Studies (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (56 citations), Statistics, Probability and Uncertainty (12 citations), Computational Mathematics (1 citation), Information Systems and Management (10 citations) and Physiology (33 citations). Gina‐Maria Pomann has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Ana‐Maria Staicu, Sujit K. Ghosh, Wolfgang C. Winkelmayer, Benjamin A. Goldstein, Steven Wolf, Jonathan C. Routh, John S. Wiener, Kishan S. Parikh, Jesse D. Troy and J. Todd Purves. Their work appears in journals such as Disability and health journal, Statistics in Medicine, Journal of Pediatric Urology, Journal of Reconstructive Microsurgery and Academic Medicine.
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.