Daniel Bennett

22 papers receiving 1.1k citations

Daniel Bennett's Hit Papers

Relationships Between Initial COVID-19 Risk Perceptions and Protective Health Behaviors: A National Survey 2020 · 324 citations
3240+2+4Years since publication100200300

Peers

Daniel Bennett
Comparison fields: 5 of 110
  • Clinical Psychology 393
  • Anesthesiology and Pain Medicine 93
  • Modeling and Simulation 84
  • Health 134
  • Applied Psychology 71
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Citations per year

Countries citing papers authored by Daniel Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Bennett, 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 Daniel Bennett Line = papers co-authored together Daniel Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relationships Between Initial COVID-19 Risk Perceptions and Protective Health Behaviors: A National Survey
Hit paper breakdown →
2020324
2 2020146
3 2009117
4 2020106
5
Consensus panel recommendations for the assessment and management of breakthrough pain parr I assessment
2005102
6 202195
7 202190
8 201246
9 202035
10 202025
11 201821
12 202313
13
Clean Water Makes You Dirty: Water Supply and Sanitation Behavior in the Philippines ∗
200813
14
The Indirect Impact of Antiretroviral Therapy
201212
15 201811
16 20209
17 20209
18 20197
19 20234
20 20174

About Daniel Bennett

Daniel Bennett is a scholar working on Economics and Econometrics, Clinical Psychology, Safety Research, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (5 papers), Poverty, Education, and Child Welfare (5 papers), Agricultural risk and resilience (2 papers), Demographic Trends and Gender Preferences (2 papers), Child Nutrition and Water Access (2 papers), Fiscal Policy and Economic Growth (2 papers), Fish Ecology and Management Studies (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Clinical Psychology (393 citations), Anesthesiology and Pain Medicine (93 citations), Modeling and Simulation (84 citations), Health (134 citations) and Applied Psychology (71 citations). Daniel Bennett has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Wändi Bruine de Bruin, Arie Kapteyn, Luther G. Kalb, Calliope Holingue, Frauke Kreuter, Cindy B. Veldhuis, Reneé M. Johnson, Johannes Thrul, M. Daniele Fallin and Kira E. Riehm. Their work appears in journals such as North American Journal of Fisheries Management, American Journal of Preventive Medicine, PLoS ONE, American Economic Review and Early Intervention in Psychiatry.

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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