Philip Morrow
Impact in
- Rehabilitation top 0.5%
- Stroke Rehabilitation and Recovery
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
Papers in
-
- IoT and Edge/Fog Computing 12
- Software-Defined Networks and 5G 9
- Caching and Content Delivery 8
-
- Image Retrieval and Classification Techniques 13
- Medical Image Segmentation Techniques 12
- Co-authors
- Darryl Charles (10 shared papers)Suzanne McDonough (7 shared papers)Michael McNeill (5 shared papers)Bryan Scotney (29 shared papers)Joel Burke (2 shared papers)Andrik Rampun (14 shared papers)Sally McClean (44 shared papers)Gerard Parr (37 shared papers)
- Journals
- Pattern Recognition (3 papers)Artificial Intelligence in Medicine (2 papers)Sensors (2 papers)Lecture notes in computer science (16 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Philip Morrow
121 papers receiving 2.0k citations
Philip Morrow's Hit Papers
Peers
Comparison fields: 5 of 131
- Rehabilitation 564
- Human-Computer Interaction 410
- Computer Vision and Pattern Recognition 532
- Ophthalmology 164
- Radiology, Nuclear Medicine and Imaging 411
Countries citing papers authored by Philip Morrow
This map shows the geographic impact of Philip Morrow'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 Morrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Morrow more than expected).
Fields of papers citing papers by Philip Morrow
This network shows the impact of papers produced by Philip Morrow. 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 Morrow. The network helps show where Philip Morrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Morrow, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimising engagement for stroke rehabilitation using serious games Hit paper breakdown → | 2009 | 510 |
| 2 | 2009 | 204 | |
| 3 | 2009 | 185 | |
| 4 | 2010 | 130 | |
| 5 | 2017 | 69 | |
| 6 | 2019 | 68 | |
| 7 | 2013 | 62 | |
| 8 | 2018 | 55 | |
| 9 | 2018 | 47 | |
| 10 | 2008 | 44 | |
| 11 | 2011 | 37 | |
| 12 | 2014 | 33 | |
| 13 | 2003 | 26 | |
| 14 | 2005 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2011 | 24 | |
| 18 | 2007 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2015 | 18 |
About Philip Morrow
Philip Morrow is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Cloud Computing and Resource Management (13 papers), Image Retrieval and Classification Techniques (13 papers), Medical Image Segmentation Techniques (12 papers), IoT and Edge/Fog Computing (12 papers), Parallel Computing and Optimization Techniques (9 papers), Software-Defined Networks and 5G (9 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Rehabilitation (564 citations), Human-Computer Interaction (410 citations), Computer Vision and Pattern Recognition (532 citations), Ophthalmology (164 citations) and Radiology, Nuclear Medicine and Imaging (411 citations). Philip Morrow has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Darryl Charles, Suzanne McDonough, Michael McNeill, Bryan Scotney, Joel Burke, Andrik Rampun, Sally McClean, Gerard Parr, Hui Wang and R.J. Winder. Their work appears in journals such as Pattern Recognition, Artificial Intelligence in Medicine, Sensors, Lecture notes in computer science and Artificial Intelligence Review.
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.