Travis Bradley

665 citations
4 papers · 473 · h-index 4

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies

Papers in

    • Child Abuse and Trauma 1
    • Posttraumatic Stress Disorder Research 1
    • Mindfulness and Compassion Interventions 1
    • Functional Brain Connectivity Studies 2
    • Neural dynamics and brain function 2
    • EEG and Brain-Computer Interfaces 1

Travis Bradley

4 papers receiving 468 citations

Peers

Travis Bradley
Comparison fields: 5 of 57
  • Cognitive Neuroscience 363
  • Neurology 95
  • Experimental and Cognitive Psychology 61
  • Radiology, Nuclear Medicine and Imaging 64
  • Psychiatry and Mental health 32
Replace Yuanjun Xie with:
Yuanjun Xie China
Habes Isabelle United Kingdom
Annette Beatrix Bruehl Switzerland
Marco Paolini Germany
Tianye Zhai United States
Lingxiao Cao China
Jamaan Alghamdi Saudi Arabia
Wenji Dai China
Sara Fernández‐Cabello Norway
Agnes Kroczek Germany
Travis Bradley relative to Yuanjun Xie China Yuanjun Xie's profile →
Citations per field
00.5×3.8×
Yuanjun Xie · 1×
Citations per year

Countries citing papers authored by Travis Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Travis Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Travis Bradley, 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 Travis Bradley Line = papers co-authored together Travis Bradley links everyone, so they are left out of the graph.

All Works

About Travis Bradley

Travis Bradley is a scholar working on Clinical Psychology, Cognitive Neuroscience, Neurology, Epidemiology and Infectious Diseases, having authored 4 papers that have together received 473 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Child Abuse and Trauma (1 paper), Neurological disorders and treatments (1 paper), EEG and Brain-Computer Interfaces (1 paper), Traumatic Brain Injury Research (1 paper), Posttraumatic Stress Disorder Research (1 paper) and Mindfulness and Compassion Interventions (1 paper). The work is most often cited by research in Cognitive Neuroscience (363 citations), Neurology (95 citations), Experimental and Cognitive Psychology (61 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Psychiatry and Mental health (32 citations). Travis Bradley has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Leanne M. Williams, Zhengwei Zhou, Catie Chang, Gary H. Glover, Desmond J. Oathes, Amit Etkin, Karl Deisseroth, Victor G. Carrión, Weidong Cai and Vinod Menon. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, PLoS ONE and Future Neurology.

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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