D. M. Smith
Impact in
- Health top 0.2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 4
- Shoulder and Clavicle Injuries 2
- Health 5
- Vaccine Coverage and Hesitancy 5
- Co-authors
- Heidi J. Larson (5 shared papers)Pauline Paterson (2 shared papers)Caitlin Jarrett (2 shared papers)Elisabeth Eckersberger (2 shared papers)Joseph D. Tucker (1 shared paper)W Schulz (1 shared paper)John S. Brownstein (1 shared paper)Lawrence C. Madoff (1 shared paper)
- Journals
- Educational Studies (3 papers)Clinical Orthopaedics and Related Research (2 papers)The Lancet Global Health (2 papers)PLoS Currents (1 paper)Vaccine (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
D. M. Smith
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Health 1.8k
- Modeling and Simulation 379
- Infectious Diseases 787
- Epidemiology 699
- Sociology and Political Science 580
Countries citing papers authored by D. M. Smith
This map shows the geographic impact of D. M. Smith'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 D. M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Smith more than expected).
Fields of papers citing papers by D. M. Smith
This network shows the impact of papers produced by D. M. Smith. 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 D. M. Smith. The network helps show where D. M. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside D. M. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: A systematic review of published literature, 2007–2012 Hit paper breakdown → | 2014 | 1541 |
| 2 | 2015 | 191 | |
| 3 | 2013 | 157 | |
| 4 | 2016 | 61 | |
| 5 | 1975 | 24 | |
| 6 | 1984 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 1976 | 19 | |
| 9 | 2004 | 13 | |
| 10 | 1994 | 7 | |
| 11 | 1983 | 4 | |
| 12 | 2015 | 3 | |
| 13 | 2005 | 2 | |
| 14 | 1982 | 2 | |
| 15 | 1989 | 2 | |
| 16 | 1975 | 2 | |
| 17 | The Astrophysics Program at South Carolina State University | 2005 | 1 |
| 18 | 1978 | 1 | |
| 19 | 1975 | 1 | |
| 20 | 1975 | 0 |
About D. M. Smith
D. M. Smith is a scholar working on Epidemiology, Health, Surgery, Pathology and Forensic Medicine and Sociology and Political Science, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Influenza Virus Research Studies (4 papers), Spine and Intervertebral Disc Pathology (2 papers), Knee injuries and reconstruction techniques (2 papers), Shoulder and Clavicle Injuries (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Misinformation and Its Impacts (2 papers) and Teacher Education and Leadership Studies (2 papers). The work is most often cited by research in Health (1.8k citations), Modeling and Simulation (379 citations), Infectious Diseases (787 citations), Epidemiology (699 citations) and Sociology and Political Science (580 citations). D. M. Smith has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Heidi J. Larson, Pauline Paterson, Caitlin Jarrett, Elisabeth Eckersberger, Joseph D. Tucker, W Schulz, John S. Brownstein, Lawrence C. Madoff, Melissa Cumming and Isaac Ghinai. Their work appears in journals such as Educational Studies, Clinical Orthopaedics and Related Research, The Lancet Global Health, PLoS Currents and Vaccine.
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.