Jonathan Chappelow

2.0k citations
29 papers · 1.6k · h-index 17

Impact in

Papers in

Jonathan Chappelow

29 papers receiving 1.6k citations

Peers

Jonathan Chappelow
Comparison fields: 5 of 120
  • General Decision Sciences 197
  • Cognitive Neuroscience 618
  • Applied Psychology 76
  • Experimental and Cognitive Psychology 181
  • Radiology, Nuclear Medicine and Imaging 259
Replace Morten Overgaard with:
Morten Overgaard Denmark
Leo P. Sugrue United States
Jack Grinband United States
Karla K. Evans United States
Peter Smittenaar United Kingdom
Julia Spaniol Canada
Pascal J. Kieslich Germany
John C. Dunn Australia
Wouter De Baene Netherlands
Melina A. Kunar United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Chappelow

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Chappelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004347
2 2005221
3 2006215
4 2005144
5 2012109
6 2011101
7 200766
8 201156
9 201847
10 201641
11 200835
12 200933
13 201131
14 201231
15 201121
16 201118
17 200718
18 200715
19 201112
20 200911

About Jonathan Chappelow

Jonathan Chappelow is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Advanced Neural Network Applications (5 papers), MRI in cancer diagnosis (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in General Decision Sciences (197 citations), Cognitive Neuroscience (618 citations), Applied Psychology (76 citations), Experimental and Cognitive Psychology (181 citations) and Radiology, Nuclear Medicine and Imaging (259 citations). Jonathan Chappelow has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Gregory S. Berns, Giuseppe Pagnoni, Caroline F. Zink, Anant Madabhushi, Robert E. Lenkinski, Neil M. Rofsky, Elizabeth M. Genega, Jim Richards, Miloš Cekić and B Bloch. Their work appears in journals such as Medical Physics, Computerized Medical Imaging and Graphics, NeuroImage, Biological Psychiatry and Neuron.

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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