Victoria Landsman
- Physiology top 2%
- Applied Psychology top 5%
- Speech and Hearing top 5%
-
- Pregnancy-related medical research 3
- Health top 5%
-
- Statistical Methods and Bayesian Inference 5
- Advanced Causal Inference Techniques 4
- Statistical Methods and Inference 3
-
- Occupational Health and Safety Research 4
-
- Traffic and Road Safety 3
-
- Global Cancer Incidence and Screening 2
-
- Cannabis and Cannabinoid Research 2
- Co-authors
- Prabhat JhaChinthanie RamasundarahettigeRichard PetoRobert N. AndersonMichael J. ThunTim McAfeeBrian L. RostronDanny Pfeffermann
- 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
- Applied Psychology 140
- Speech and Hearing 106
- Public Health, Environmental and Occupational Health 417
- Health 108
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
The 25 scholars most cited alongside Victoria Landsman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 15 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 11 | |
| 14 | 2013 | 85 | |
| 15 | 21st-Century Hazards of Smoking and Benefits of Cessation in the United Statesbreakdown → | 2013 | 1220 |
| 16 | 2013 | 9 | |
| 17 | 2012 | 6 | |
| 18 | 2012 | 3 | |
| 19 | 2011 | 26 | |
| 20 | 2007 | 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), Occupational Health and Safety Research (4 papers), Pregnancy-related medical research (3 papers), Statistical Methods and Inference (3 papers), Traffic and Road Safety (3 papers), Global Cancer Incidence and Screening (2 papers) and Cannabis and Cannabinoid Research (2 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.
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.