Daniel Todkill
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in ⓘ
- Epidemiology 14
- Data-Driven Disease Surveillance 11
- Influenza Virus Research Studies 3
- Co-authors
- Aileen Clarke (4 shared papers)Sian Taylor‐Phillips (4 shared papers)Julia Geppert (3 shared papers)Chris Stinton (1 shared paper)Samantha Johnson (1 shared paper)Karoline Freeman (1 shared paper)Karen Rees (2 shared papers)Nadine Flowers (2 shared papers)
- Journals
- Epidemiology and Infection (5 papers)British Journal of General Practice (4 papers)International Journal of Environmental Research and Public Health (2 papers)Eurosurveillance (2 papers)Cochrane Database of Systematic Reviews (2 papers)
- Partner nations
- United KingdomIrelandAustralia
In The Last Decade
Daniel Todkill
40 papers receiving 570 citations
Peers
Comparison fields: 5 of 115
- Health Informatics 88
- Radiology, Nuclear Medicine and Imaging 192
- Ophthalmology 60
- Artificial Intelligence 136
- Parasitology 25
Countries citing papers authored by Daniel Todkill
This map shows the geographic impact of Daniel Todkill'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 Todkill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Todkill more than expected).
Fields of papers citing papers by Daniel Todkill
This network shows the impact of papers produced by Daniel Todkill. 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 Todkill. The network helps show where Daniel Todkill may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Todkill, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 186 | |
| 2 | 2015 | 58 | |
| 3 | 2014 | 50 | |
| 4 | 2020 | 28 | |
| 5 | 2015 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2021 | 17 | |
| 8 | 2013 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2016 | 15 | |
| 11 | 2014 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2017 | 7 |
About Daniel Todkill
Daniel Todkill is a scholar working on Epidemiology, General Health Professions, Infectious Diseases, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 585 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 epidemiological studies (4 papers), Antibiotic Use and Resistance (3 papers), Emergency and Acute Care Studies (3 papers), Influenza Virus Research Studies (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Health Informatics (88 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Ophthalmology (60 citations), Artificial Intelligence (136 citations) and Parasitology (25 citations). Daniel Todkill has collaborated with scholars based in United Kingdom, Ireland and Australia. Frequent co-authors include Aileen Clarke, Sian Taylor‐Phillips, Julia Geppert, Chris Stinton, Samantha Johnson, Karoline Freeman, Karen Rees, Nadine Flowers, Louise Hartley and Jeremy Hawker. Their work appears in journals such as Epidemiology and Infection, British Journal of General Practice, International Journal of Environmental Research and Public Health, Eurosurveillance and Cochrane Database of Systematic Reviews.
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.