Mari Ito

516 citations
13 papers · 365 · h-index 6

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Stroke Rehabilitation and Recovery

Papers in

Mari Ito

10 papers receiving 353 citations

Peers

Mari Ito
Comparison fields: 5 of 36
  • Cognitive Neuroscience 287
  • Rehabilitation 53
  • Cellular and Molecular Neuroscience 128
  • Neurology 31
  • Human-Computer Interaction 17
Replace Emily C. Stanyer with:
Emily C. Stanyer United Kingdom
Alexander Remsik United States
Kristin Caldera United States
Teiji Kawano Japan
Naoki Ota Japan
Zack Nigogosyan United States
Marie-Christine Fluet Switzerland
Wilson Low Singapore
Fanny Quandt Germany
Stefania Coelli Italy
Mari Ito relative to Emily C. Stanyer United Kingdom Emily C. Stanyer's profile →
Citations per field
00.5×2.5×
Emily C. Stanyer · 1×
Citations per year

Countries citing papers authored by Mari Ito

Since Specialization
Citations

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

Fields of papers citing papers by Mari Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mari Ito, 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 Mari Ito Line = papers co-authored together Mari Ito links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011160
2 2014148
3 201521
4 202210
5 20188
6 20097
7 20235
8 20083
9 20082
10 20061
11 20070
12 20100
13 20080

About Mari Ito

Mari Ito is a scholar working on Sensory Systems, Neurology, Cognitive Neuroscience, Rehabilitation and Speech and Hearing, having authored 13 papers that have together received 365 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Vestibular and auditory disorders (5 papers), Hearing Loss and Rehabilitation (3 papers), EEG and Brain-Computer Interfaces (2 papers), Dysphagia Assessment and Management (2 papers), Stroke Rehabilitation and Recovery (2 papers), Neuroscience and Neural Engineering (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (287 citations), Rehabilitation (53 citations), Cellular and Molecular Neuroscience (128 citations), Neurology (31 citations) and Human-Computer Interaction (17 citations). Mari Ito has collaborated with scholars based in Japan. Frequent co-authors include Meigen Liu, Keiichiro Shindo, Naoki Ota, Tetsuo Ota, Akio Kimura, Junichi Ushiba, Toshiyuki Fujiwara, Takashi Ono, Masahiko Mukaino and Michiyuki Kawakami. Their work appears in journals such as Pain Research and Management, Geriatrics and gerontology international, Journal of Rehabilitation Medicine, Journal of Clinical Medicine and 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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