Mohammad Shehata

Mohammad Shehata

California Institute of Technology

H-index: 10

North America-United States

About Mohammad Shehata

Mohammad Shehata, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparing Neural Networks and Human Subjects in Assessing Trademark Similarities

Auditory Mondrian masks the airborne-auditory artifact of focused ultrasound stimulation in humans

Natural finger-tapping tempo reflects intrinsic neurophysiological characteristics Subtitle: Neural correlates of natural tempo

Neural networks vs. humans in assessing trademark similarities

Spontaneous motor tempo contributes to preferred music tempo regardless of music familiarity

Low-Latency Motion Transfer with Electromagnetic Actuation for Joint Action

Human Cognition and Hyper Intelligence

Team flow is a unique brain state associated with enhanced information integration and interbrain synchrony

Mohammad Shehata Information

University

Position

Toyohashi University of Technology

Citations(all)

738

Citations(since 2020)

535

Cited By

429

hIndex(all)

10

hIndex(since 2020)

7

i10Index(all)

10

i10Index(since 2020)

7

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Mohammad Shehata Skills & Research Interests

Neuroscience

Top articles of Mohammad Shehata

Title

Journal

Author(s)

Publication Date

Comparing Neural Networks and Human Subjects in Assessing Trademark Similarities

Journal of Vision

Shinsuke Shimojo

Filip-Mihai Toma

Masaiko Noguchi

Elijah Cole

Markus Marks

...

2023/8/1

Auditory Mondrian masks the airborne-auditory artifact of focused ultrasound stimulation in humans

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

William Liang

Hongsun Guo

David R Mittelstein

Mikhail G Shapiro

Shinsuke Shimojo

...

2023/3/1

Natural finger-tapping tempo reflects intrinsic neurophysiological characteristics Subtitle: Neural correlates of natural tempo

neuromodulation

Sai Sun

Daw-An Wu

Mohammad Shehata

Takuya Akashi

Morimichi Furudate

...

2023

Neural networks vs. humans in assessing trademark similarities

Journal of Vision

Masahiko Noguchi

Filip-Mihai Toma

Eli J Seiner

Daw-An J Wu

Mohammad H Shehata

...

2022/12/5

Spontaneous motor tempo contributes to preferred music tempo regardless of music familiarity

Frontiers in Psychology

Kyoko Hine

Koki Abe

Yuya Kinzuka

Mohammad Shehata

Katsunobu Hatano

...

2022/11/17

Low-Latency Motion Transfer with Electromagnetic Actuation for Joint Action

Daisuke Tajima

Taku Tanichi

Mohammad H Shehata

Shunichi Kasahara

2022/12/6

Human Cognition and Hyper Intelligence

D Frank Hsu

Mohammad Shehata

Shao-Min Hung

Shinsuke Shimojo

Ryota Kanai

...

2021/10/25

Team flow is a unique brain state associated with enhanced information integration and interbrain synchrony

eNeuro

Mohammad Shehata

Miao Cheng

Angus Leung

Naotsugu Tsuchiya

Daw-An Wu

...

2020/6/19

Internal Motor Tempo Contributes to the Determination of Preferred Music Tempo Regardless of Music Familiarity.

Kyoko Hine

Koki Abe

Yuya Kinzuka

Mohammad Shehata

Katsunobu Hatano

...

2020/11/24

See List of Professors in Mohammad Shehata University(California Institute of Technology)