Paul McNamee
Impact in
- Nephrology top 1%
- Dialysis and Renal Disease Management
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 66
- Natural Language Processing Techniques 62
- Semantic Web and Ontologies 18
- Co-authors
- James Mayfield (52 shared papers)Graham Scotland (17 shared papers)Mark Dredze (4 shared papers)Delip Rao (4 shared papers)Ian Young (5 shared papers)Silvia Coretti (2 shared papers)Matteo Ruggeri (2 shared papers)Christopher M. Loughrey (4 shared papers)
- Journals
- Health Technology Assessment (14 papers)Nephrology Dialysis Transplantation (8 papers)Health Economics (5 papers)Review of Economics of the Household (4 papers)British Journal of Ophthalmology (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Paul McNamee
238 papers receiving 7.0k citations
Paul McNamee's Hit Papers
Peers
Comparison fields: 5 of 196
- Nephrology 468
- Artificial Intelligence 1.7k
- Ophthalmology 280
- Transplantation 75
- Psychiatry and Mental health 377
Countries citing papers authored by Paul McNamee
This map shows the geographic impact of Paul McNamee'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 Paul McNamee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul McNamee more than expected).
Fields of papers citing papers by Paul McNamee
This network shows the impact of papers produced by Paul McNamee. 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 Paul McNamee. The network helps show where Paul McNamee may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul McNamee, 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 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Critical appraisal tools Hit paper breakdown → | 2014 | 324 |
| 2 | 2003 | 247 | |
| 3 | 2009 | 246 | |
| 4 | 2014 | 239 | |
| 5 | 2007 | 238 | |
| 6 | 2010 | 234 | |
| 7 | 1994 | 198 | |
| 8 | 1995 | 194 | |
| 9 | 2007 | 187 | |
| 10 | 2001 | 182 | |
| 11 | 2010 | 166 | |
| 12 | 1998 | 166 | |
| 13 | 2012 | 123 | |
| 14 | 2012 | 120 | |
| 15 | 2011 | 108 | |
| 16 | 2015 | 98 | |
| 17 | 2003 | 89 | |
| 18 | 2007 | 88 | |
| 19 | 2002 | 86 | |
| 20 | 2014 | 83 |
About Paul McNamee
Paul McNamee is a scholar working on Artificial Intelligence, General Health Professions, Economics and Econometrics, Information Systems and Management Science and Operations Research, having authored 246 papers that have together received 7.6k indexed citations. Recurring topics across this work include Topic Modeling (66 papers), Natural Language Processing Techniques (62 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers), Semantic Web and Ontologies (18 papers), Data Quality and Management (17 papers), Information Retrieval and Search Behavior (16 papers), Psychological Well-being and Life Satisfaction (10 papers) and Health disparities and outcomes (10 papers). The work is most often cited by research in Nephrology (468 citations), Artificial Intelligence (1.7k citations), Ophthalmology (280 citations), Transplantation (75 citations) and Psychiatry and Mental health (377 citations). Paul McNamee has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James Mayfield, Graham Scotland, Mark Dredze, Delip Rao, Ian Young, Silvia Coretti, Matteo Ruggeri, Christopher M. Loughrey, Christine Piatko and Gordon Prescott. Their work appears in journals such as Health Technology Assessment, Nephrology Dialysis Transplantation, Health Economics, Review of Economics of the Household and British Journal of Ophthalmology.
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.