Jane Law
Impact in
- Transportation top 5%
- Health top 5%
- Health disparities and outcomes
Papers in
-
- Crime Patterns and Interventions 17
- Epidemiology 22
- Data-Driven Disease Surveillance 21
- Co-authors
- Robert Haining (11 shared papers)Matthew Quick (13 shared papers)Hui Luan (7 shared papers)Ravi Maheswaran (6 shared papers)Daniel A. Griffith (1 shared paper)Tim Pearson (5 shared papers)Shoulian Dong (2 shared papers)Giulia C. Kennedy (2 shared papers)
- Journals
- ISPRS International Journal of Geo-Information (5 papers)Geographical Analysis (5 papers)International Journal of Environmental Research and Public Health (3 papers)International Journal of Health Geographics (3 papers)Spatial and Spatio-temporal Epidemiology (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jane Law
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 156
- Transportation 130
- Health 128
- Health, Toxicology and Mutagenesis 210
- Modeling and Simulation 55
- Genetics 316
Countries citing papers authored by Jane Law
This map shows the geographic impact of Jane Law'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 Jane Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Law more than expected).
Fields of papers citing papers by Jane Law
This network shows the impact of papers produced by Jane Law. 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 Jane Law. The network helps show where Jane Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Law, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 326 | |
| 2 | 2004 | 253 | |
| 3 | 2004 | 102 | |
| 4 | 2008 | 99 | |
| 5 | 2013 | 83 | |
| 6 | 2015 | 61 | |
| 7 | 2005 | 54 | |
| 8 | 2004 | 53 | |
| 9 | 2002 | 47 | |
| 10 | 2004 | 45 | |
| 11 | 2012 | 44 | |
| 12 | 2014 | 40 | |
| 13 | 2022 | 39 | |
| 14 | 2017 | 33 | |
| 15 | 1994 | 30 | |
| 16 | 2006 | 28 | |
| 17 | 2007 | 26 | |
| 18 | 1995 | 26 | |
| 19 | 2016 | 25 | |
| 20 | 2014 | 24 |
About Jane Law
Jane Law is a scholar working on Sociology and Political Science, Epidemiology, Economics and Econometrics, Health and Health, Toxicology and Mutagenesis, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (21 papers), Spatial and Panel Data Analysis (18 papers), Crime Patterns and Interventions (17 papers), Health disparities and outcomes (9 papers), Urban Transport and Accessibility (8 papers), Air Quality and Health Impacts (5 papers), Economic and Environmental Valuation (5 papers) and Japanese History and Culture (5 papers). The work is most often cited by research in Transportation (130 citations), Health (128 citations), Health, Toxicology and Mutagenesis (210 citations), Modeling and Simulation (55 citations) and Genetics (316 citations). Jane Law has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Robert Haining, Matthew Quick, Hui Luan, Ravi Maheswaran, Daniel A. Griffith, Tim Pearson, Shoulian Dong, Giulia C. Kennedy, Keith Jones and Hajime Matsuzaki. Their work appears in journals such as ISPRS International Journal of Geo-Information, Geographical Analysis, International Journal of Environmental Research and Public Health, International Journal of Health Geographics and Spatial and Spatio-temporal 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.