David Mowatt
Impact in
- Biotechnology top 10%
- Microbial Inactivation Methods
-
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
- Co-authors
- Fabio Rinaldi (2 shared papers)William J. Black (2 shared papers)Kevin Larson (1 shared paper)David Dunaway (1 shared paper)Chidi Ekwobi (1 shared paper)J. V. Murphy (1 shared paper)D. Oudit (1 shared paper)Gary Ross (2 shared papers)
- Journals
- Journal of Plastic Reconstructive & Aesthetic Surgery (3 papers)Clinical Breast Cancer (1 paper)Journal of Tissue Engineering and Regenerative Medicine (1 paper)Journal of neurosurgery (1 paper)Journal of Lower Genital Tract Disease (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David Mowatt
19 papers receiving 201 citations
Peers
Comparison fields: 5 of 54
- Biotechnology 47
- Artificial Intelligence 66
- Oncology 33
- Human-Computer Interaction 6
- Surgery 38
Countries citing papers authored by David Mowatt
This map shows the geographic impact of David Mowatt'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 David Mowatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mowatt more than expected).
Fields of papers citing papers by David Mowatt
This network shows the impact of papers produced by David Mowatt. 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 David Mowatt. The network helps show where David Mowatt may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mowatt, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FACILE: Description of the NE System Used for MUC-7. | 1998 | 39 |
| 2 | 2018 | 33 | |
| 3 | 2019 | 25 | |
| 4 | 2012 | 25 | |
| 5 | FACILE: classifying texts integrating pattern matching and information extraction | 1999 | 18 |
| 6 | 2003 | 15 | |
| 7 | 2007 | 13 | |
| 8 | 2005 | 11 | |
| 9 | 2004 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2013 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2025 | 0 |
About David Mowatt
David Mowatt is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Rheumatology, having authored 22 papers that have together received 220 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Microbial Inactivation Methods (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Cleft Lip and Palate Research (2 papers), Reconstructive Facial Surgery Techniques (2 papers), Melanoma and MAPK Pathways (2 papers) and Soft tissue tumor case studies (2 papers). The work is most often cited by research in Biotechnology (47 citations), Artificial Intelligence (66 citations), Oncology (33 citations), Human-Computer Interaction (6 citations) and Surgery (38 citations). David Mowatt has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Fabio Rinaldi, William J. Black, Kevin Larson, David Dunaway, Chidi Ekwobi, J. V. Murphy, D. Oudit, Gary Ross, Francesca de Terlizzi and P. Curatolo. Their work appears in journals such as Journal of Plastic Reconstructive & Aesthetic Surgery, Clinical Breast Cancer, Journal of Tissue Engineering and Regenerative Medicine, Journal of neurosurgery and Journal of Lower Genital Tract Disease.
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.