Philip Morrow

2.8k citations
101 papers · 1.7k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Philip Morrow

93 papers receiving 1.6k citations

Hit Papers

Optimising engagement for stroke rehabilitation using serious games 2009 · 412 citations
4122009202620142020100200300400

Peers

Philip Morrow
Comparison fields: 5 of 124
  • Rehabilitation 501
  • Human-Computer Interaction 344
  • Computer Vision and Pattern Recognition 453
  • Ophthalmology 153
  • Physical Therapy, Sports Therapy and Rehabilitation 69
Replace Alessandro Micarelli with:
Alessandro Micarelli Italy
Fátima L. S. Nunes Brazil
Adel Al-Jumaily Australia
Nooritawati Md Tahir Malaysia
Torsten Kuhlen Germany
Francisco Javier Díaz Pernas Spain
Rami N. Khushaba Australia
Amaia Méndez Zorrilla Spain
Mario Martínez‐Zarzuela Spain
Oluwarotimi Williams Samuel China
Philip Morrow relative to Alessandro Micarelli Italy Alessandro Micarelli's profile →
Citations per field
00.5×9.8×
Alessandro Micarelli · 1×
Citations per year

Countries citing papers authored by Philip Morrow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philip Morrow Line = papers co-authored together Philip Morrow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 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 →
2009412
2 2009187
3 2009153
4 2010106
5 201759
6 201958
7 201854
8 201346
9 201841
10 200840
11 201134
12 201431
13 201123
14 202023
15 200522
16 200720
17 202019
18 201817
19 201517
20 200916

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 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (10 papers), Medical Image Segmentation Techniques (10 papers), Software-Defined Networks and 5G (8 papers), Caching and Content Delivery (8 papers), Image Retrieval and Classification Techniques (8 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Rehabilitation (501 citations), Human-Computer Interaction (344 citations), Computer Vision and Pattern Recognition (453 citations), Ophthalmology (153 citations) and Physical Therapy, Sports Therapy and Rehabilitation (69 citations). Philip Morrow has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Suzanne McDonough, Darryl Charles, Michael McNeill, Bryan Scotney, Joel Burke, Andrik Rampun, Sally McClean, Hui Wang, R.J. Winder and P M Hart. Their work appears in journals such as Pattern Recognition, Sensors, Artificial Intelligence in Medicine, Future Internet and Machine Vision and Applications.

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.

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