Jay Buckingham

846 citations
12 papers · 651 · h-index 9

Impact in

  • Neurology top 5%
    • Vestibular and auditory disorders
    • Neural dynamics and brain function
    • Motor Control and Adaptation
    • Memory and Neural Mechanisms

Papers in

Jay Buckingham

12 papers receiving 597 citations

Peers

Jay Buckingham
Comparison fields: 5 of 71
  • Neurology 228
  • Cognitive Neuroscience 380
  • Sensory Systems 52
  • Cellular and Molecular Neuroscience 158
  • Endocrine and Autonomic Systems 30
Replace Riccardo Zucca with:
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F. Harlay France
Praveen K. Pilly United States
Hidetoshi Shibutani Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jay Buckingham

Since Specialization
Citations

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

Fields of papers citing papers by Jay Buckingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Jay Buckingham, 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 Jay Buckingham Line = papers co-authored together Jay Buckingham links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1997194
2 1996171
3 199092
4 199350
5 199837
6 200936
7 199235
8 199315
9 199213
10 19915
11
Controlling a Nonlinear Spring-Mass System with a Cerebellar Model
19942
12
Chasing the molecule : discovering the building blocks of life
20051

About Jay Buckingham

Jay Buckingham is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Control and Systems Engineering, Neurology and Electrical and Electronic Engineering, having authored 12 papers that have together received 651 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Fuzzy Logic and Control Systems (2 papers), Neural dynamics and brain function (2 papers), Neural Networks and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Speech and dialogue systems (2 papers), Vestibular and auditory disorders (2 papers) and Robotics and Automated Systems (2 papers). The work is most often cited by research in Neurology (228 citations), Cognitive Neuroscience (380 citations), Sensory Systems (52 citations), Cellular and Molecular Neuroscience (158 citations) and Endocrine and Autonomic Systems (30 citations). Jay Buckingham has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Andrew G. Barto, David Willshaw, James C. Houk, D.C. Barton, D.A. Crolla, B. Todd Heniford, Keith S. Gersin, H. James Norton, Timothy S. Kuwada and Jennifer E. Keller. Their work appears in journals such as Network Computation in Neural Systems, Surgery for Obesity and Related Diseases, Behavioral and Brain Sciences, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering and Philosophical Transactions of the Royal Society B Biological Sciences.

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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