Mohammad Ali Nazari

1.4k total citations
101 papers, 1.0k citations indexed

About

Mohammad Ali Nazari is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Mohammad Ali Nazari has authored 101 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cognitive Neuroscience, 27 papers in Psychiatry and Mental health and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Mohammad Ali Nazari's work include EEG and Brain-Computer Interfaces (24 papers), Attention Deficit Hyperactivity Disorder (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Mohammad Ali Nazari is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Attention Deficit Hyperactivity Disorder (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Mohammad Ali Nazari collaborates with scholars based in Iran, United States and France. Mohammad Ali Nazari's co-authors include Mohammad Ali Badamchizadeh, Vahid Azimirad, Nazila Nikdel, Shiva Khoshnoud, Mousa Shamsi, Patrick Berquin, Sohrab Khanmohammadi, Ardalan Aarabi, Behzad Mozaffari Tazehkand and Fabrice Wallois and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Neuroscience.

In The Last Decade

Mohammad Ali Nazari

82 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Ali Nazari Iran 17 543 301 152 89 88 101 1.0k
Fabrizio Taffoni Italy 19 270 0.5× 153 0.5× 40 0.3× 95 1.1× 21 0.2× 78 1.2k
Sunao Iwaki Japan 15 408 0.8× 91 0.3× 47 0.3× 128 1.4× 171 1.9× 82 810
Yang Bai China 21 610 1.1× 127 0.4× 34 0.2× 14 0.2× 85 1.0× 66 1.2k
Vikram S. Chib United States 14 775 1.4× 73 0.2× 33 0.2× 46 0.5× 144 1.6× 38 1.1k
Kaleb McDowell United States 21 1.2k 2.2× 74 0.2× 50 0.3× 77 0.9× 144 1.6× 53 1.6k
Gianluigi Reni Italy 18 285 0.5× 161 0.5× 15 0.1× 63 0.7× 42 0.5× 73 891
Trent Lewis Australia 16 873 1.6× 91 0.3× 14 0.1× 45 0.5× 103 1.2× 40 1.1k
Mark Sagar New Zealand 15 159 0.3× 54 0.2× 91 0.6× 34 0.4× 105 1.2× 47 1.6k
Alaa A. Ahmed United States 21 978 1.8× 214 0.7× 72 0.5× 135 1.5× 56 0.6× 59 1.6k
Toshimitsu Musha Japan 19 1.2k 2.1× 185 0.6× 58 0.4× 10 0.1× 118 1.3× 48 1.7k

Countries citing papers authored by Mohammad Ali Nazari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali Nazari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ali Nazari. 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 Mohammad Ali Nazari. The network helps show where Mohammad Ali Nazari may publish in the future.

Co-authorship network of co-authors of Mohammad Ali Nazari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Nazari. A scholar is included among the top collaborators of Mohammad Ali Nazari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Ali Nazari. Mohammad Ali Nazari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Valizadeh, Alireza, et al.. (2024). Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm. Cognitive Neurodynamics. 18(6). 3629–3646. 2 indexed citations
4.
Joghataei, Mohammad Taghi, et al.. (2024). Early Auditory Temporal Processing Deficit in Children with Autism Spectrum Disorder: The Research Domain Criteria Framework. Brain Sciences. 14(9). 896–896. 1 indexed citations
5.
Wallois, Fabrice, et al.. (2024). Toward an endophenotype for ADHD: Exploring the duration mismatch negativity in drug-free children with ADHD. Applied Neuropsychology Child. 15(2). 148–158.
6.
Nazari, Mohammad Ali, et al.. (2023). Time distortions induced by high-arousing emotional compared to low-arousing neutral faces: an event-related potential study. Psychological Research. 87(6). 1836–1847. 4 indexed citations
7.
Nazari, Mohammad Ali, et al.. (2022). Training the brain to time: the effect of neurofeedback of SMR–Beta1 rhythm on time perception in healthy adults. Experimental Brain Research. 240(7-8). 2027–2038. 2 indexed citations
8.
Sadeghi, Neda, et al.. (2022). Motor planning is not restricted to only one hemisphere: evidence from ERPs in individuals with hemiplegic cerebral palsy. Experimental Brain Research. 240(9). 2311–2326.
9.
Shahbazi, Ali, et al.. (2022). Changes in late-latency auditory evoked potentials after tinnitus suppression using auditory stimulation. Brazilian Journal of Otorhinolaryngology. 88. S130–S138.
10.
Ahmadi, Amirmasoud, et al.. (2020). Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes. Biomedical Signal Processing and Control. 63. 102227–102227. 68 indexed citations
11.
Nazari, Mohammad Ali, et al.. (2020). The influence of children’s mathematical competence on performance in mental number line, time knowledge and time perception. Psychological Research. 85(5). 2023–2035. 6 indexed citations
12.
Nazari, Mohammad Ali, et al.. (2019). Study on Relation between Visual Time Perception and Two Factors of Complexity in Architectural Images and Gender. Iran University of Science & Technology. 7(3). 151–167. 1 indexed citations
13.
Nazari, Mohammad Ali, et al.. (2019). The Role of Event Related Potentials in Pre-Comprehension Processing of Consumers to Marketing Logos. Tuwhera (Auckland University of Technology). 5(1). 16–22. 1 indexed citations
14.
Nazari, Mohammad Ali, et al.. (2016). Emotional stimuli facilitate time perception in children with attention‐deficit/hyperactivity disorder. Journal of Neuropsychology. 12(2). 165–175. 8 indexed citations
15.
Nazari, Mohammad Ali, et al.. (2015). Interaction of numbers and spatial attention in Iranian people. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Nazari, Mohammad Ali, et al.. (2014). Comparison of shifting attention function in 7-13-years-old children with fluent speech and developmental stuttering. SHILAP Revista de lepidopterología.
17.
Mazhari, Shahrzad, et al.. (2013). Compromised motor imagery ability in individuals with multiple sclerosis and mild physical disability: An ERP study. Clinical Neurology and Neurosurgery. 115(9). 1738–1744. 16 indexed citations
18.
Abolghasemi, Abbas, et al.. (2012). The Impact of EEG Neurobiofeedback on Dyslexia Symptoms. 12(1). 25–32. 3 indexed citations
19.
Vahedi, Shahrum & Mohammad Ali Nazari. (2011). The Relationship between Self-Alienation, Spiritual Well-Being, Economic Situation and Satisfaction of life: A Structural Equation Modeling Approach. Iranian Journal of Psychiatry and Behavioral Sciences. 5(1). 64–73. 14 indexed citations
20.
Mohammadkhani, Parvaneh, et al.. (2007). Standardization of trauma symptoms checklist for children. SHILAP Revista de lepidopterología. 9(1). 75–85. 5 indexed citations

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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