Paul Wighton

796 citations
27 papers · 586 · h-index 11

Impact in

    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Cutaneous Melanoma Detection and Management

Papers in

Paul Wighton

23 papers receiving 572 citations

Peers

Paul Wighton
Comparison fields: 5 of 76
  • Cognitive Neuroscience 150
  • Oncology 188
  • Radiology, Nuclear Medicine and Imaging 131
  • Biophysics 34
  • Artificial Intelligence 108
Replace Yousuke Ogata with:
Yousuke Ogata Japan
Ralf Schönmeyer Germany
Chang’an A. Zhan China
Shih-chang Wang Singapore
Tamanna T. K. Munia United States
Giorgia Grisot United States
Xia Yang China
Ilwoo Lyu United States
William J. Matloff United States
Eva Janoušová Czechia
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Citations per field
00.5×2×4×6.6×
Yousuke Ogata · 1×
Citations per year

Countries citing papers authored by Paul Wighton

Since Specialization
Citations

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

Fields of papers citing papers by Paul Wighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 201185
3 201950
4 200941
5 200840
6 201936
7 202126
8 202124
9 200722
10 201019
11 201118
12 202111
13 20088
14 20128
15 20238
16 20117
17
Real Time MRI Motion Correction with Markerless Tracking
20177
18 20133
19 20082
20 20242

About Paul Wighton

Paul Wighton is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Cognitive Neuroscience, having authored 27 papers that have together received 586 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (9 papers), Advanced MRI Techniques and Applications (6 papers), Functional Brain Connectivity Studies (4 papers), AI in cancer detection (4 papers), Cell Image Analysis Techniques (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Medical Imaging Techniques and Applications (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Cognitive Neuroscience (150 citations), Oncology (188 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Biophysics (34 citations) and Artificial Intelligence (108 citations). Paul Wighton has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include M. Stella Atkins, Tim K. Lee, Harvey Lui, David I. McLean, Matthew Dylan Tisdall, Andre J. W. van der Kouwe, Maryam Sadeghi, P. Ellen Grant, Robert E. Frost and Richard L. Robertson. Their work appears in journals such as Magnetic Resonance in Medicine, International Journal of Imaging Systems and Technology, Journal of Display Technology, Journal of Nuclear Medicine and BMC Psychiatry.

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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