Philip Morrow

2.8k total citations · 1 hit paper
101 papers, 1.7k citations indexed

About

Philip Morrow is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Philip Morrow has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 27 papers in Computer Vision and Pattern Recognition and 22 papers in Artificial Intelligence. Recurrent topics in Philip Morrow's work include AI in cancer detection (13 papers), Cloud Computing and Resource Management (11 papers) and IoT and Edge/Fog Computing (10 papers). Philip Morrow is often cited by papers focused on AI in cancer detection (13 papers), Cloud Computing and Resource Management (11 papers) and IoT and Edge/Fog Computing (10 papers). Philip Morrow collaborates with scholars based in United Kingdom, Ireland and Spain. Philip Morrow's co-authors include Darryl Charles, Suzanne McDonough, Michael McNeill, Bryan Scotney, Joel Burke, Andrik Rampun, Sally McClean, Hui Wang, R.J. Winder and P M Hart and has published in prestigious journals such as Sensors, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Philip Morrow

93 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimising engagement for stroke rehabilitation using serious games

2009 412 citations Michael McNeill, Darryl Charles et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Philip Morrow United Kingdom	18	501	453	360	359	344	101	1.7k
Fátima L. S. Nunes Brazil	19	58 0.1×	398 0.9×	106 0.3×	194 0.5×	245 0.7×	173	1.2k
Alessandro Micarelli Italy	25	51 0.1×	159 0.4×	48 0.1×	410 1.1×	60 0.2×	147	1.9k
Adel Al-Jumaily Australia	27	373 0.7×	360 0.8×	113 0.3×	753 2.1×	234 0.7×	186	3.1k
Amaia Méndez Zorrilla Spain	18	104 0.2×	317 0.7×	26 0.1×	231 0.6×	193 0.6×	99	1.9k
Torsten Kuhlen Germany	25	82 0.2×	804 1.8×	131 0.4×	133 0.4×	1.0k 3.0×	228	2.5k
Francisco Javier Díaz Pernas Spain	14	82 0.2×	407 0.9×	89 0.2×	222 0.6×	124 0.4×	73	1.4k
Hoshang Kolivand United Kingdom	22	15 0.0×	789 1.7×	328 0.9×	634 1.8×	114 0.3×	128	2.0k
Oluwarotimi Williams Samuel China	30	194 0.4×	189 0.4×	133 0.4×	400 1.1×	232 0.7×	146	2.9k
Nooritawati Md Tahir Malaysia	18	21 0.0×	392 0.9×	73 0.2×	271 0.8×	105 0.3×	235	1.5k
Hanung Adi Nugroho Indonesia	21	45 0.1×	616 1.4×	641 1.8×	475 1.3×	116 0.3×	287	2.0k

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-authorship network of co-authors of Philip Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Morrow. A scholar is included among the top collaborators of Philip Morrow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Morrow. Philip Morrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kondylakis, Haridimos, Dhundy Bastola, Dimitrios G. Katehakis, et al.. (2020). Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study. Journal of Medical Internet Research. 22(12). e22034–e22034. 12 indexed citations

2.

Rampun, Andrik, Philip Morrow, Bryan Scotney, & Hui Wang. (2020). Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns. Computers in Biology and Medicine. 122. 103842–103842. 19 indexed citations

3.

Rampun, Andrik, Karen López‐Linares, Philip Morrow, et al.. (2019). Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network. Medical Image Analysis. 57. 1–17. 58 indexed citations

4.

Abu-Tair, Mamun, Pushpinder Kaur Chouhan, Ian Cleland, et al.. (2019). Evaluation of an IoT Framework for a Workplace Wellbeing Application. 1783–1788. 4 indexed citations

5.

Rampun, Andrik, Bryan Scotney, Philip Morrow, & Hui Wang. (2018). Breast Mass Classification in Mammograms using Ensemble Convolutional Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 1–6. 41 indexed citations

6.

Rampun, Andrik, Bryan Scotney, Philip Morrow, Hui Wang, & John Winder. (2018). Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies. Journal of Imaging. 4(1). 14–14. 54 indexed citations

7.

Rampun, Andrik, Philip Morrow, Bryan Scotney, & John Winder. (2017). Fully automated breast boundary and pectoral muscle segmentation in mammograms. Artificial Intelligence in Medicine. 79. 28–41. 59 indexed citations

8.

Parr, Gerard, et al.. (2013). Energy aware scheduling across ‘green’ cloud data centres. UEA Digital Repository (University of East Anglia). 876–879. 4 indexed citations

9.

Parr, Gerard, et al.. (2012). Towards a SLA-compliant Cloud Resource Allocator for N-tier Applications. 136–139. 2 indexed citations

10.

Parr, Gerard, et al.. (2012). Cloud based Dynamically Provisioned Multimedia Delivery: An Elastic Video Endpoint (EVE).. 260–265. 2 indexed citations

11.

McNeill, Michael, et al.. (2010). Augmented Reality Games for Upper-Limb Stroke Rehabilitation. 75–78. 106 indexed citations

12.

Scotney, Bryan, et al.. (2010). Dynamic iris biometry: a technique for enhanced identification. BMC Research Notes. 3(1). 182–182. 9 indexed citations

13.

Winder, R.J., et al.. (2009). Algorithms for digital image processing in diabetic retinopathy. Computerized Medical Imaging and Graphics. 33(8). 608–622. 187 indexed citations

14.

Clawson, Kathy, et al.. (2009). Analysis of Pigmented Skin Lesion Border Irregularity Using the Harmonic Wavelet Transform. 18–23. 16 indexed citations

15.

Cassidy, Rachel, Philip Morrow, & John McCloskey. (2005). A machine vision system for quantifying velocity fields in complex rock models. Machine Vision and Applications. 16(6). 343–355. 2 indexed citations

16.

Bustard, David, et al.. (2005). The war room command console. 57–65. 22 indexed citations

17.

Yang, Xiaoyun, Philip Morrow, & Bryan Scotney. (2003). Adaptive Pre-Filtering for Retinal Vessel Detection in HRT Images. 493–499. 1 indexed citations

18.

Crookes, Danny, et al.. (1989). An algebra-based language for image processing on transputers. International Conference on Image Processing. 457–461. 4 indexed citations

19.

Crookes, Danny, et al.. (1989). An environment for developing concurrent software for transputer-based image processing. Microprocessing and Microprogramming. 27(1-5). 417–422. 1 indexed citations

20.

Morrow, Philip, et al.. (1988). The design and implementation of low-level image processing algorithms on a transputer network. Oxford University Press eBooks. 243–259. 4 indexed citations

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.

Explore authors with similar magnitude of impact