Daniel Mark Farewell
Impact in
-
- Intensive Care Unit Cognitive Disorders
-
- Child Abuse and Related Trauma
Papers in
-
- Statistical Methods and Bayesian Inference 15
- Statistical Methods and Inference 12
- Advanced Causal Inference Techniques 7
- Health 13
- Health disparities and outcomes 12
- Co-authors
- Sabine Maguire (11 shared papers)Alison Kemp (13 shared papers)David L. Fone (19 shared papers)Frank Dunstan (12 shared papers)Shantini Paranjothy (18 shared papers)Laura Cowley (7 shared papers)James White (10 shared papers)Nick A Francis (9 shared papers)
- Journals
- PLoS ONE (5 papers)BMJ Open (4 papers)PEDIATRICS (3 papers)Biometrika (3 papers)Journal of Psychosomatic Research (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Daniel Mark Farewell
109 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 156
- Critical Care and Intensive Care Medicine 136
- Pediatrics, Perinatology and Child Health 521
- Health 217
- Emergency Medicine 194
- Statistics and Probability 195
Countries citing papers authored by Daniel Mark Farewell
This map shows the geographic impact of Daniel Mark Farewell'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 Mark Farewell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mark Farewell more than expected).
Fields of papers citing papers by Daniel Mark Farewell
This network shows the impact of papers produced by Daniel Mark Farewell. 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 Mark Farewell. The network helps show where Daniel Mark Farewell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mark Farewell, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2011 | 149 | |
| 3 | 2009 | 139 | |
| 4 | 2010 | 124 | |
| 5 | 2014 | 110 | |
| 6 | 2020 | 110 | |
| 7 | 2013 | 104 | |
| 8 | 2009 | 77 | |
| 9 | 2017 | 76 | |
| 10 | 2010 | 74 | |
| 11 | 2018 | 74 | |
| 12 | 2013 | 73 | |
| 13 | 2007 | 65 | |
| 14 | 2018 | 62 | |
| 15 | 2017 | 60 | |
| 16 | 2011 | 56 | |
| 17 | 2017 | 52 | |
| 18 | 2018 | 52 | |
| 19 | 2006 | 51 | |
| 20 | 2021 | 50 |
About Daniel Mark Farewell
Daniel Mark Farewell is a scholar working on Statistics and Probability, Health, Pediatrics, Perinatology and Child Health, Epidemiology and General Health Professions, having authored 113 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (15 papers), Statistical Methods and Inference (12 papers), Health disparities and outcomes (12 papers), Child Abuse and Related Trauma (11 papers), Urinary Tract Infections Management (8 papers), Employment and Welfare Studies (8 papers), Advanced Causal Inference Techniques (7 papers) and Child Abuse and Trauma (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (136 citations), Pediatrics, Perinatology and Child Health (521 citations), Health (217 citations), Emergency Medicine (194 citations) and Statistics and Probability (195 citations). Daniel Mark Farewell has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Sabine Maguire, Alison Kemp, David L. Fone, Frank Dunstan, Shantini Paranjothy, Laura Cowley, James White, Nick A Francis, Rhian Daniel and Jingjing Zhang. Their work appears in journals such as PLoS ONE, BMJ Open, PEDIATRICS, Biometrika and Journal of Psychosomatic Research.
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.