Isabelle R. Weir
- Epidemiology
- Statistics and Probability top 10%
- Neurology
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Co-authors
- Ludovic TrinquartInga K. KoerteMartha E. ShentonJeffrey J. BazarianJakob HufschmidtMichael MayingerMarc MuehlmannBoris‐Stephan Rauchmann
- Topics
- Statistical Methods in Clinical Trials (5 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)Advanced Causal Inference Techniques (3 papers)
- Journals
- Journal of the American College of CardiologyClinical Infectious DiseasesJournal of Clinical Epidemiology
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Isabelle R. Weir
14 papers receiving 219 citations
Peers
Comparison fields: 5 of 53
- Epidemiology 104
- Statistics and Probability 46
- Neurology 45
- Radiology, Nuclear Medicine and Imaging 34
- Cardiology and Cardiovascular Medicine 31
Countries citing papers authored by Isabelle R. Weir
This map shows the geographic impact of Isabelle R. Weir'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 Isabelle R. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle R. Weir more than expected).
Fields of papers citing papers by Isabelle R. Weir
This network shows the impact of papers produced by Isabelle R. Weir. 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 Isabelle R. Weir. The network helps show where Isabelle R. Weir may publish in the future.
Co-authorship network of co-authors of Isabelle R. Weir
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle R. Weir. A scholar is included among the top collaborators of Isabelle R. Weir 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 Isabelle R. Weir. Isabelle R. Weir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 31 | |
| 10 | 17 | |
| 11 | 31 | |
| 12 | 42 | |
| 13 | 61 | |
| 14 | 4 |
About Isabelle R. Weir
Isabelle R. Weir is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Statistics and Probability (46 citations), Emergency Medicine (30 citations) and Epidemiology (104 citations). Isabelle R. Weir has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Ludovic Trinquart, Inga K. Koerte, Martha E. Shenton, Jeffrey J. Bazarian, Jakob Hufschmidt, Michael Mayinger, Marc Muehlmann, Boris‐Stephan Rauchmann, Kian Merchant‐Borna and Christine E. Chaisson. Their work appears in journals such as Journal of the American College of Cardiology, Clinical Infectious Diseases and Journal of Clinical Epidemiology.
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.