Philip J. Bones

2.1k citations
121 papers · 1.6k · h-index 24

Impact in

Papers in

Philip J. Bones

109 papers receiving 1.5k citations

Peers

Philip J. Bones
Comparison fields: 5 of 126
  • Cognitive Neuroscience 570
  • Experimental and Cognitive Psychology 225
  • Radiology, Nuclear Medicine and Imaging 290
  • Radiation 119
  • Signal Processing 141
Replace Mustafa E. Kamaşak with:
Mustafa E. Kamaşak Türkiye
Bin Yan China
Miguel Arevalillo‐Herráez Spain
Isaac N. Bankman United States
Dana H. Brooks United States
Ana Maria Tomé Portugal
José Antonio Urigüen Spain
Francesca Gasparini Italy
Katarzyna J. Blinowska Poland
Zhu Liang Yu China
Philip J. Bones relative to Mustafa E. Kamaşak Türkiye Mustafa E. Kamaşak's profile →
Citations per field
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Mustafa E. Kamaşak · 1×
Citations per year

Countries citing papers authored by Philip J. Bones

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Bones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994100
2 201296
3 200691
4 200469
5 202065
6 200052
7 201151
8 197948
9 201045
10 199740
11 200139
12 201038
13 202234
14 200832
15 202132
16 200531
17 200630
18 199330
19 199529
20 197927

About Philip J. Bones

Philip J. Bones is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 121 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), EEG and Brain-Computer Interfaces (21 papers), Advanced MRI Techniques and Applications (15 papers), Neural dynamics and brain function (12 papers), Blind Source Separation Techniques (11 papers), Advanced X-ray Imaging Techniques (11 papers), Advanced Memory and Neural Computing (10 papers) and Sleep and Work-Related Fatigue (9 papers). The work is most often cited by research in Cognitive Neuroscience (570 citations), Experimental and Cognitive Psychology (225 citations), Radiology, Nuclear Medicine and Imaging (290 citations), Radiation (119 citations) and Signal Processing (141 citations). Philip J. Bones has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Richard D. Jones, Michael J. Cree, P.R. Davidson, G.J. Carroll, Richard Watts, Rick P. Millane, M.T.R. Peiris, Matthew D. Arnold, Carrie Innes and S. A. Brown. Their work appears in journals such as Journal of the Optical Society of America A, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Nano Letters and Adaptive Behavior.

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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