John Pellman

2.2k citations
2 papers · 111 · h-index 2

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Brain Tumor Detection and Classification

Papers in

John Pellman

2 papers receiving 109 citations

Peers

John Pellman
Comparison fields: 5 of 38
  • Cognitive Neuroscience 70
  • Neurology 20
  • Radiology, Nuclear Medicine and Imaging 43
  • Computer Vision and Pattern Recognition 32
  • Experimental and Cognitive Psychology 10
Replace Gia H. Ngo with:
Gia H. Ngo Singapore
Pedro F. da Costa United Kingdom
Cassandra D. Leonardo United States
Dhivya Srinivasan United States
Sabrina Adamo Canada
Chonghua Xue United States
Gemeng Zhang United States
Ioanna Skampardoni United States
Alex Fedorov United States
Lindsey Kitchell United States
John Pellman relative to Gia H. Ngo Singapore Gia H. Ngo's profile →
Citations per field
00.5×3.3×
Gia H. Ngo · 1×
Citations per year

Countries citing papers authored by John Pellman

Since Specialization
Citations

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

Fields of papers citing papers by John Pellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside John Pellman, 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 John Pellman Line = papers co-authored together John Pellman links everyone, so they are left out of the graph.

All Works

About John Pellman

John Pellman is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Infectious Diseases, having authored 2 papers that have together received 111 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Dementia and Cognitive Impairment Research (1 paper), Health, Environment, Cognitive Aging (1 paper), Medical Imaging Techniques and Applications (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (70 citations), Neurology (20 citations), Radiology, Nuclear Medicine and Imaging (43 citations), Computer Vision and Pattern Recognition (32 citations) and Experimental and Cognitive Psychology (10 citations). John Pellman has collaborated with scholars based in United States. Frequent co-authors include R. Cameron Craddock, Yael Osman, Ting Xu, Samantha Cohen, Satrajit Ghosh, Michael P. Milham, Jasmine Escalera, Tamara Vanderwal, David O’Connor and Lucas C. Parra. Their work appears in journals such as GigaScience.

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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