Joan Harvey

32 papers receiving 676 citations

Peers

Joan Harvey
Comparison fields: 5 of 123
  • Family Practice 174
  • Radiological and Ultrasound Technology 119
  • Medical Laboratory Technology 20
  • Statistics, Probability and Uncertainty 85
  • Public Health, Environmental and Occupational Health 261
Replace Matthew J. W. Thomas with:
Matthew J. W. Thomas Australia
Margaret Crichton United Kingdom
J. K. Yates United States
Susan Prion United States
Shirley C. Sonesh United States
Rebecca Lyons United States
Ashrita Saran United Kingdom
Isa Mohammadi Zeidi Iran
Katie Anne Adamson United States
Colin Ayre United Kingdom
Joan Harvey relative to Matthew J. W. Thomas Australia Matthew J. W. Thomas's profile →
Citations per field
00.5×6.4×
Matthew J. W. Thomas · 1×
Citations per year

Countries citing papers authored by Joan Harvey

Since Specialization
Citations

This map shows the geographic impact of Joan Harvey'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 Joan Harvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Harvey more than expected).

Fields of papers citing papers by Joan Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Harvey. 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 Joan Harvey. The network helps show where Joan Harvey may publish in the future.

Co-authors

The 25 scholars most cited alongside Joan Harvey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joan Harvey Line = papers co-authored together Joan Harvey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992165
2 198982
3 200276
4 200154
5
Women's experience of early miscarriage
200150
6 200836
7 201431
8 201330
9 199928
10 201226
11 200124
12 201420
13 200016
14 200016
15 201014
16 200211
17 19938
18 20016
19 20046
20 20085

About Joan Harvey

Joan Harvey is a scholar working on Statistics, Probability and Uncertainty, Social Psychology, Sociology and Political Science, General Health Professions and Radiological and Ultrasound Technology, having authored 34 papers that have together received 736 indexed citations. Recurring topics across this work include Risk and Safety Analysis (7 papers), Occupational Health and Safety Research (4 papers), Environmental Education and Sustainability (4 papers), Risk Perception and Management (4 papers), Innovations in Medical Education (3 papers), Disaster Response and Management (3 papers), Urban Transport and Accessibility (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). The work is most often cited by research in Family Practice (174 citations), Radiological and Ultrasound Technology (119 citations), Medical Laboratory Technology (20 citations), Statistics, Probability and Uncertainty (85 citations) and Public Health, Environmental and Occupational Health (261 citations). Joan Harvey has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Glinda S. Cooper, Louis N. Pangaro, GORDON L. NOEL, Jerome E. Herbers, George Erdos, Neil Thorpe, Oliver Heidrich, Nigel Nicholson, Wendy Moyle and Debra Creedy. Their work appears in journals such as Health Risk & Society, Personnel Review, Transport Policy, Annals of Internal Medicine and Work & Stress.

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.

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