Philip Edwards

2.3k citations
45 papers · 1.3k · h-index 21

Impact in

Papers in

Philip Edwards

44 papers receiving 1.3k citations

Peers

Philip Edwards
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 631
  • Surgery 403
  • Biomedical Engineering 427
  • Computer Graphics and Computer-Aided Design 34
  • Oral Surgery 59
Replace Stéphane Nicolau with:
Stéphane Nicolau France
Johann Hummel Austria
Stefan Wesarg Germany
Alexander Seitel Germany
Ramin Shahidi United States
Marco Feuerstein Germany
Yasuhito Suenaga Japan
Eigil Samset Norway
F. Pernuš Slovenia
Kozo Konishi Japan
Philip Edwards relative to Stéphane Nicolau France Stéphane Nicolau's profile →
Citations per field
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Stéphane Nicolau · 1×
Citations per year

Countries citing papers authored by Philip Edwards

Since Specialization
Citations

This map shows the geographic impact of Philip Edwards'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 Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Edwards more than expected).

Fields of papers citing papers by Philip Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Edwards. 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 Edwards. The network helps show where Philip Edwards may publish in the future.

Co-authors

The 25 scholars most cited alongside Philip Edwards, 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 Edwards Line = papers co-authored together Philip Edwards links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000151
2 2008118
3 200595
4 202292
5 201989
6 199781
7 199566
8 200462
9 200652
10 199951
11 199851
12 201043
13 202139
14 200035
15 200733
16 200731
17 201327
18 200326
19 200924
20 201222

About Philip Edwards

Philip Edwards is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Surgical Simulation and Training (15 papers), Augmented Reality Applications (14 papers), Anatomy and Medical Technology (10 papers), Robotics and Sensor-Based Localization (10 papers), Medical Image Segmentation Techniques (9 papers), Soft Robotics and Applications (5 papers), Advanced Vision and Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (631 citations), Surgery (403 citations), Biomedical Engineering (427 citations), Computer Graphics and Computer-Aided Design (34 citations) and Oral Surgery (59 citations). Philip Edwards has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include David J. Hawkes, Graeme Penney, Danail Stoyanov, David Hill, Roger Ekins, Anthony J. Strong, M. Slomczykowski, Matthew J. Clarkson, David J. Hawkes and Dean C. Barratt. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, Stereotactic and Functional Neurosurgery, British Journal of Oral and Maxillofacial Surgery and Clinical Chemistry.

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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