Jon Hobbs

608 citations
11 papers · 420 · h-index 8

Impact in

Papers in

Jon Hobbs

11 papers receiving 411 citations

Peers

Jon Hobbs
Comparison fields: 5 of 79
  • Cognitive Neuroscience 289
  • Cellular and Molecular Neuroscience 166
  • Statistical and Nonlinear Physics 93
  • Psychiatry and Mental health 23
  • Artificial Intelligence 58
Replace Meysam Hashemi with:
Meysam Hashemi France
Thomas F. Varley United States
Robert Clewley United States
Ilya V. Sysoev Russia
B. Jelles Netherlands
Stewart Heitmann Australia
Elad Ganmor Israel
Da‐Hui Wang China
J. Arnhold Germany
Jonathan J. Crofts United Kingdom
Jon Hobbs relative to Meysam Hashemi France Meysam Hashemi's profile →
Citations per field
00.5×1.5×2.2×
Meysam Hashemi · 1×
Citations per year

Countries citing papers authored by Jon Hobbs

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008220
2 201454
3 201043
4 201036
5 201032
6 20088
7
512-electrode MEA System For Spatio-Temporal Distributed Stimulation and Recording of Neural Activity
20107
8 20197
9 20197
10 20215
11 20071

About Jon Hobbs

Jon Hobbs is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Psychiatry and Mental health, having authored 11 papers that have together received 420 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (4 papers), Epilepsy research and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Photoreceptor and optogenetics research (2 papers), EEG and Brain-Computer Interfaces (2 papers), stochastic dynamics and bifurcation (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (289 citations), Cellular and Molecular Neuroscience (166 citations), Statistical and Nonlinear Physics (93 citations), Psychiatry and Mental health (23 citations) and Artificial Intelligence (58 citations). Jon Hobbs has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include John M. Beggs, Jodi L. Smith, Aonan Tang, Alexander Sher, A. M. Litke, Paweł Hottowy, W. Dąbrowski, Hema Patel, Dumitru Petrusca and Wei Chen. Their work appears in journals such as BMC Neuroscience, Brain Research, Journal of Neuroscience, Journal of Pharmacology and Experimental Therapeutics and Journal of Clinical Neurophysiology.

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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