M. Arzi

762 citations
16 papers · 589 · h-index 11

Impact in

    • Motor Control and Adaptation
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Tactile and Sensory Interactions
    • EEG and Brain-Computer Interfaces
  • Neurology top 10%
    • Vestibular and auditory disorders

Papers in

M. Arzi

16 papers receiving 559 citations

Peers

M. Arzi
Comparison fields: 5 of 74
  • Cognitive Neuroscience 454
  • Neurology 67
  • Cellular and Molecular Neuroscience 98
  • Physical Therapy, Sports Therapy and Rehabilitation 23
  • Social Psychology 94
Replace Minnan Xu-Wilson with:
Minnan Xu-Wilson United States
R. Eckmiller Germany
Mona Spiridon Switzerland
E. Roderich Gossen Canada
M. B. Carpenter United States
Vincent Nguyen Australia
Joshua I. Glaser United States
Alexander von Lühmann Germany
Andrzej W. Przybyszewski United States
S.F. Giszter United States
M. Arzi relative to Minnan Xu-Wilson United States Minnan Xu-Wilson's profile →
Citations per field
00.5×2.6×
Minnan Xu-Wilson · 1×
Citations per year

Countries citing papers authored by M. Arzi

Since Specialization
Citations

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

Fields of papers citing papers by M. Arzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1992151
2 1995103
3 199693
4 199854
5 198950
6 199341
7 200325
8 200523
9 199614
10 199013
11 200310
12 20035
13 19902
14 19982
15 20052
16 19971

About M. Arzi

M. Arzi is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology, having authored 16 papers that have together received 589 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), ECG Monitoring and Analysis (4 papers), Motor Control and Adaptation (3 papers), Vestibular and auditory disorders (2 papers), EEG and Brain-Computer Interfaces (2 papers), Muscle activation and electromyography studies (2 papers), Tactile and Sensory Interactions (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (454 citations), Neurology (67 citations), Cellular and Molecular Neuroscience (98 citations), Physical Therapy, Sports Therapy and Rehabilitation (23 citations) and Social Psychology (94 citations). M. Arzi has collaborated with scholars based in France, Italy and Algeria. Frequent co-authors include Yves Rossetti, Claude Prablanc, Christian Urquizar, Mhj Munk, J. Bullier, Michel Desmurget, Paul Salin, Yves Paulignan, J. I. Nelson and M. Magnin. Their work appears in journals such as Experimental Brain Research, IEEE Transactions on Biomedical Engineering, Perception, Journal of Neurophysiology and International Journal of Cardiology.

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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