Sherri Rose
- Statistics and Probability top 0.5%
- Economics and Econometrics top 1%
- General Health Professions top 2%
- Public Health, Environmental and Occupational Health top 5%
- Oncology top 10%
- Co-authors
- Mark J. van der LaanMegan S. SchulerJonathan M. SnowdenKathleen MortimerAteev MehrotraIrina DegtiarBruce E. LandonHaiden A. Huskamp
- Topics
- Advanced Causal Inference Techniques (21 papers)Healthcare Policy and Management (21 papers)Primary Care and Health Outcomes (14 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sherri Rose
89 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Statistics and Probability 817
- Economics and Econometrics 753
- General Health Professions 733
- Public Health, Environmental and Occupational Health 512
- Oncology 377
Countries citing papers authored by Sherri Rose
This map shows the geographic impact of Sherri Rose'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 Sherri Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherri Rose more than expected).
Fields of papers citing papers by Sherri Rose
This network shows the impact of papers produced by Sherri Rose. 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 Sherri Rose. The network helps show where Sherri Rose may publish in the future.
Co-authorship network of co-authors of Sherri Rose
This figure shows the co-authorship network connecting the top 25 collaborators of Sherri Rose. A scholar is included among the top collaborators of Sherri Rose 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 Sherri Rose. Sherri Rose 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 | 1 | |
| 4 | 2 | |
| 5 | 42 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | Ethical Machine Learning in Health | 5 |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 37 | |
| 13 | 6 | |
| 14 | 162 | |
| 15 | 322 | |
| 16 | 20 | |
| 17 | 219 | |
| 18 | 55 | |
| 19 | 18 | |
| 20 | The Good News about Desktop Learning. | 2 |
About Sherri Rose
Sherri Rose is a scholar working on Statistics and Probability, Health Informatics and General Health Professions, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (21 papers), Healthcare Policy and Management (21 papers) and Primary Care and Health Outcomes (14 papers). The work is most often cited by research in Statistics and Probability (817 citations), Health Informatics (113 citations) and General Health Professions (733 citations). Sherri Rose has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Mark J. van der Laan, Megan S. Schuler, Jonathan M. Snowden, Kathleen Mortimer, Ateev Mehrotra, Irina Degtiar, Bruce E. Landon, Haiden A. Huskamp, Alisa B. Busch and Lori Uscher‐Pines. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.
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.