Victoria Landsman
- Physiology top 2%
- Public Health, Environmental and Occupational Health top 5%
- General Health Professions top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Applied Psychology top 5%
- Co-authors
- Prabhat JhaChinthanie RamasundarahettigeRichard PetoRobert N. AndersonMichael J. ThunTim McAfeeBrian L. RostronDanny Pfeffermann
- Topics
- Statistical Methods and Bayesian Inference (5 papers)Advanced Causal Inference Techniques (4 papers)Occupational Health and Safety Research (4 papers)
- Journals
- New England Journal of MedicineAmerican Journal of EpidemiologyAmerican Journal of Public Health
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Victoria Landsman
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Physiology 791
- Public Health, Environmental and Occupational Health 417
- General Health Professions 199
- Cardiology and Cardiovascular Medicine 159
- Applied Psychology 140
Countries citing papers authored by Victoria Landsman
This map shows the geographic impact of Victoria Landsman'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 Victoria Landsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Landsman more than expected).
Fields of papers citing papers by Victoria Landsman
This network shows the impact of papers produced by Victoria Landsman. 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 Victoria Landsman. The network helps show where Victoria Landsman may publish in the future.
Co-authorship network of co-authors of Victoria Landsman
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Landsman. A scholar is included among the top collaborators of Victoria Landsman 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 Victoria Landsman. Victoria Landsman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 85 | |
| 15 | 21st-Century Hazards of Smoking and Benefits of Cessation in the United Statesbreakdown → | 1220 |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 26 | |
| 20 | 10 |
About Victoria Landsman
Victoria Landsman is a scholar working on Statistics and Probability, Radiological and Ultrasound Technology and Safety, Risk, Reliability and Quality, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Advanced Causal Inference Techniques (4 papers) and Occupational Health and Safety Research (4 papers). The work is most often cited by research in Physiology (791 citations), Applied Psychology (140 citations) and Speech and Hearing (106 citations). Victoria Landsman has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Prabhat Jha, Chinthanie Ramasundarahettige, Richard Peto, Robert N. Anderson, Michael J. Thun, Tim McAfee, Brian L. Rostron, Danny Pfeffermann, Heejung Bang and Peter Smith. Their work appears in journals such as New England Journal of Medicine, American Journal of Epidemiology and American Journal of Public Health.
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.