John Ford
Impact in
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- Primary Care and Health Outcomes 9
-
- Advanced Optimization Algorithms Research 17
- Iterative Methods for Nonlinear Equations 17
- Co-authors
- Clare Bambra (8 shared papers)Fiona E. Matthews (1 shared paper)Ryan Riordan (1 shared paper)Issam A. R. Moghrabi (8 shared papers)Yasushi Narushima (2 shared papers)Hiroshi Yabe (2 shared papers)Mohamed Abdel‐Fattah (4 shared papers)Alison Avenell (3 shared papers)
- Journals
- BMJ Open (18 papers)Journal of Computational and Applied Mathematics (8 papers)The Journal of Organic Chemistry (5 papers)Computers & Mathematics with Applications (5 papers)British Journal of General Practice (5 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
John Ford
125 papers receiving 4.0k citations
John Ford's Hit Papers
Peers
Comparison fields: 5 of 190
- Numerical Analysis 367
- Modeling and Simulation 186
- Health 280
- General Health Professions 587
- Ophthalmology 174
Countries citing papers authored by John Ford
This map shows the geographic impact of John Ford'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 John Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ford more than expected).
Fields of papers citing papers by John Ford
This network shows the impact of papers produced by John Ford. 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 John Ford. The network helps show where John Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside John Ford, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The COVID-19 pandemic and health inequalities Hit paper breakdown → | 2020 | 1240 |
| 2 | 2014 | 202 | |
| 3 | 2011 | 151 | |
| 4 | 2016 | 143 | |
| 5 | 2017 | 124 | |
| 6 | 2013 | 123 | |
| 7 | 2011 | 116 | |
| 8 | 2011 | 114 | |
| 9 | 2011 | 107 | |
| 10 | 2013 | 93 | |
| 11 | 2021 | 88 | |
| 12 | 1994 | 84 | |
| 13 | 1965 | 82 | |
| 14 | 2004 | 74 | |
| 15 | 2016 | 69 | |
| 16 | 2021 | 65 | |
| 17 | 2018 | 60 | |
| 18 | 2016 | 58 | |
| 19 | 1963 | 55 | |
| 20 | 2012 | 51 |
About John Ford
John Ford is a scholar working on General Health Professions, Numerical Analysis, Computational Theory and Mathematics, Health and Organic Chemistry, having authored 135 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (17 papers), Iterative Methods for Nonlinear Equations (17 papers), Health disparities and outcomes (10 papers), Primary Care and Health Outcomes (9 papers), Numerical Methods and Algorithms (7 papers), Chronic Disease Management Strategies (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Numerical Analysis (367 citations), Modeling and Simulation (186 citations), Health (280 citations), General Health Professions (587 citations) and Ophthalmology (174 citations). John Ford has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Clare Bambra, Fiona E. Matthews, Ryan Riordan, Issam A. R. Moghrabi, Yasushi Narushima, Hiroshi Yabe, Mohamed Abdel‐Fattah, Alison Avenell, Graeme MacLennan and Nicholas Steel. Their work appears in journals such as BMJ Open, Journal of Computational and Applied Mathematics, The Journal of Organic Chemistry, Computers & Mathematics with Applications and British Journal of General Practice.
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.