Gordon Hay
- Epidemiology top 5%
- Statistics and Probability top 2%
- General Health Professions top 5%
- Hepatology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Neil McKeganeyMaria GannonSheila M. BirdSharon HutchinsonRuth KingLinda BauldTim MillarLucas Wiessing
- Topics
- Census and Population Estimation (24 papers)HIV, Drug Use, Sexual Risk (23 papers)Migration, Health and Trauma (10 papers)
- Partner nations
- United KingdomDenmarkSpain
In The Last Decade
Gordon Hay
56 papers receiving 991 citations
Peers
Comparison fields: 5 of 115
- Epidemiology 699
- Statistics and Probability 242
- General Health Professions 239
- Hepatology 229
- Public Health, Environmental and Occupational Health 184
Countries citing papers authored by Gordon Hay
This map shows the geographic impact of Gordon Hay'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 Gordon Hay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Hay more than expected).
Fields of papers citing papers by Gordon Hay
This network shows the impact of papers produced by Gordon Hay. 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 Gordon Hay. The network helps show where Gordon Hay may publish in the future.
Co-authorship network of co-authors of Gordon Hay
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Hay. A scholar is included among the top collaborators of Gordon Hay 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 Gordon Hay. Gordon Hay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 33 | |
| 5 | 34 | |
| 6 | 9 | |
| 7 | 54 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 30 | |
| 11 | 12 | |
| 12 | Population estimates of problematic drug users who access DWP benefits: a feasibility study | 6 |
| 13 | 25 | |
| 14 | Estimating the prevalence of problematic drug use: a review of methods and their application | 36 |
| 15 | 87 | |
| 16 | 6 | |
| 17 | 28 | |
| 18 | 12 | |
| 19 | 37 | |
| 20 | Dual-wavelength external-cavity semiconductor lasers | 7 |
About Gordon Hay
Gordon Hay is a scholar working on Statistics and Probability, Epidemiology and General Health Professions, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Census and Population Estimation (24 papers), HIV, Drug Use, Sexual Risk (23 papers) and Migration, Health and Trauma (10 papers). The work is most often cited by research in Statistics and Probability (242 citations), Hepatology (229 citations) and Epidemiology (699 citations). Gordon Hay has collaborated with scholars based in United Kingdom, Denmark and Spain. Frequent co-authors include Neil McKeganey, Maria Gannon, Sheila M. Bird, Sharon Hutchinson, Ruth King, Linda Bauld, Tim Millar, Lucas Wiessing, Jennifer McKell and K. Roy. Their work appears in journals such as The Lancet, PLoS ONE and American Journal of 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.