Philip Pratt
Impact in
-
- Augmented Reality Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Health Informatics top 10%
Papers in
- Surgery 26
- Surgical Simulation and Training 24
-
- Augmented Reality Applications 11
- Medical Image Segmentation Techniques 5
- Advanced Vision and Imaging 4
- Co-authors
- Guang‐Zhong Yang (21 shared papers)Ara Darzi (32 shared papers)Erik Mayer (23 shared papers)Archie Hughes‐Hallett (17 shared papers)Justin Vale (15 shared papers)Danail Stoyanov (2 shared papers)Dimitri Amiras (2 shared papers)Hani J. Marcus (8 shared papers)
- Journals
- Annals of Surgery (4 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)Urology (2 papers)Surgical Endoscopy (2 papers)Lecture notes in computer science (12 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Philip Pratt
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 651
- Health Informatics 19
- Surgery 546
- Human-Computer Interaction 80
- Biomedical Engineering 452
Countries citing papers authored by Philip Pratt
This map shows the geographic impact of Philip Pratt'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 Philip Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Pratt more than expected).
Fields of papers citing papers by Philip Pratt
This network shows the impact of papers produced by Philip Pratt. 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 Philip Pratt. The network helps show where Philip Pratt may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Pratt, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 239 | |
| 2 | 2010 | 156 | |
| 3 | 2017 | 81 | |
| 4 | 2013 | 74 | |
| 5 | 2020 | 58 | |
| 6 | 2012 | 56 | |
| 7 | 2010 | 52 | |
| 8 | 2016 | 47 | |
| 9 | 2014 | 42 | |
| 10 | 2021 | 40 | |
| 11 | 2015 | 38 | |
| 12 | 2013 | 36 | |
| 13 | 2014 | 34 | |
| 14 | 2015 | 34 | |
| 15 | 2013 | 28 | |
| 16 | 2015 | 27 | |
| 17 | Concepts of Database Management | 1994 | 27 |
| 18 | 2015 | 25 | |
| 19 | 2014 | 24 | |
| 20 | 2017 | 23 |
About Philip Pratt
Philip Pratt is a scholar working on Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering and Computer Networks and Communications, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Surgical Simulation and Training (24 papers), Anatomy and Medical Technology (13 papers), Augmented Reality Applications (11 papers), Soft Robotics and Applications (10 papers), Robotics and Sensor-Based Localization (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Database Systems and Queries (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (651 citations), Health Informatics (19 citations), Surgery (546 citations), Human-Computer Interaction (80 citations) and Biomedical Engineering (452 citations). Philip Pratt has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Guang‐Zhong Yang, Ara Darzi, Erik Mayer, Archie Hughes‐Hallett, Justin Vale, Danail Stoyanov, Dimitri Amiras, Hani J. Marcus, Graham Lawton and Jonathan Simmons. Their work appears in journals such as Annals of Surgery, International Journal of Computer Assisted Radiology and Surgery, Urology, Surgical Endoscopy and Lecture notes in computer science.
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.