Jane Law
Impact in
- Transportation top 5%
- Urban Transport and Accessibility
- Health top 5%
Papers in
-
- Crime Patterns and Interventions 16
- Epidemiology 21
- Data-Driven Disease Surveillance 20
- Co-authors
- Matthew Quick (12 shared papers)Robert Haining (10 shared papers)Hui Luan (7 shared papers)Ravi Maheswaran (6 shared papers)Tim Pearson (5 shared papers)Xiaojun Di (2 shared papers)Giulia C. Kennedy (2 shared papers)Geoffrey Yang (2 shared papers)
- Journals
- Geographical Analysis (5 papers)ISPRS International Journal of Geo-Information (5 papers)International Journal of Health Geographics (3 papers)Spatial and Spatio-temporal Epidemiology (3 papers)International Journal of Environmental Research and Public Health (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jane Law
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Transportation 129
- Health 118
- Health, Toxicology and Mutagenesis 207
- Modeling and Simulation 52
- Genetics 297
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 317 | |
| 2 | 2004 | 239 | |
| 3 | 2004 | 100 | |
| 4 | 2013 | 80 | |
| 5 | 2008 | 77 | |
| 6 | 2015 | 58 | |
| 7 | 2005 | 52 | |
| 8 | 2004 | 51 | |
| 9 | 2002 | 44 | |
| 10 | 2004 | 43 | |
| 11 | 2012 | 40 | |
| 12 | 2014 | 39 | |
| 13 | 2022 | 39 | |
| 14 | 2017 | 33 | |
| 15 | 1994 | 28 | |
| 16 | 2006 | 26 | |
| 17 | 2016 | 23 | |
| 18 | 1995 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2007 | 22 |
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 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (20 papers), Spatial and Panel Data Analysis (17 papers), Crime Patterns and Interventions (16 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 COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Transportation (129 citations), Health (118 citations), Health, Toxicology and Mutagenesis (207 citations), Modeling and Simulation (52 citations) and Genetics (297 citations). Jane Law has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Matthew Quick, Robert Haining, Hui Luan, Ravi Maheswaran, Tim Pearson, Xiaojun Di, Giulia C. Kennedy, Geoffrey Yang, Rui Mei and Hajime Matsuzaki. Their work appears in journals such as Geographical Analysis, ISPRS International Journal of Geo-Information, International Journal of Health Geographics, Spatial and Spatio-temporal Epidemiology and International Journal of Environmental Research and 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.