Peter W. Gieser
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Neurology top 10%
- Rheumatology top 10%
- Co-authors
- Ronald H. RandlesAllen M. GoorinT. HolbrookMichael P. LinkStephen J. ShochatAlberto G. AyalaWilliam S. FergusonMichael B. Harris
- Topics
- Vascular Tumors and Angiosarcomas (3 papers)Sarcoma Diagnosis and Treatment (3 papers)Statistical Methods and Bayesian Inference (2 papers)
- Cited by
- Pathology and Forensic MedicineStatistics and ProbabilityPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical OncologyJournal of the American Statistical AssociationStatistics in Medicine
- Partner nations
- United StatesCanada
In The Last Decade
Peter W. Gieser
9 papers receiving 548 citations
Peers
Comparison fields: 5 of 75
- Pulmonary and Respiratory Medicine 284
- Pathology and Forensic Medicine 191
- Oncology 178
- Neurology 105
- Rheumatology 92
Countries citing papers authored by Peter W. Gieser
This map shows the geographic impact of Peter W. Gieser'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 Peter W. Gieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Gieser more than expected).
Fields of papers citing papers by Peter W. Gieser
This network shows the impact of papers produced by Peter W. Gieser. 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 Peter W. Gieser. The network helps show where Peter W. Gieser may publish in the future.
Co-authorship network of co-authors of Peter W. Gieser
This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. Gieser. A scholar is included among the top collaborators of Peter W. Gieser 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 Peter W. Gieser. Peter W. Gieser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 77 | |
| 3 | 137 | |
| 4 | 64 | |
| 5 | 38 | |
| 6 | 115 | |
| 7 | 41 | |
| 8 | 12 | |
| 9 | 40 |
About Peter W. Gieser
Peter W. Gieser is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Rheumatology, having authored 9 papers that have together received 560 indexed citations. Recurring topics across this work include Vascular Tumors and Angiosarcomas (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (191 citations), Statistics and Probability (82 citations) and Pulmonary and Respiratory Medicine (284 citations). Peter W. Gieser has collaborated with scholars based in United States and Canada. Frequent co-authors include Ronald H. Randles, Allen M. Goorin, T. Holbrook, Michael P. Link, Stephen J. Shochat, Alberto G. Ayala, William S. Ferguson, Michael B. Harris, Alan Cantor and Allen R. Chauvenet. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Statistics in 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.