Mohammad Reza Daliri

3.4k total citations
167 papers, 2.4k citations indexed

About

Mohammad Reza Daliri is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Reza Daliri has authored 167 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Cognitive Neuroscience, 40 papers in Cellular and Molecular Neuroscience and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Reza Daliri's work include Neural dynamics and brain function (65 papers), EEG and Brain-Computer Interfaces (63 papers) and Functional Brain Connectivity Studies (32 papers). Mohammad Reza Daliri is often cited by papers focused on Neural dynamics and brain function (65 papers), EEG and Brain-Computer Interfaces (63 papers) and Functional Brain Connectivity Studies (32 papers). Mohammad Reza Daliri collaborates with scholars based in Iran, United States and Germany. Mohammad Reza Daliri's co-authors include Vincent Torre, Vahid Shalchyan, Stefan Treue, Amirmasoud Ahmadi, Kavous Salehzadeh Niksirat, Alireza Mohammad Shahri, Hamid Karimi-Rouzbahani, Hamid Behnam, Ahmad Ayatollahi and Ali Torabi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Mohammad Reza Daliri

154 papers receiving 2.4k 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 Reza Daliri Iran 26 1.2k 475 415 272 264 167 2.4k
Bin Deng China 32 1.9k 1.6× 234 0.5× 757 1.8× 675 2.5× 239 0.9× 211 3.7k
Slawomir J. Nasuto United Kingdom 26 1.4k 1.2× 206 0.4× 581 1.4× 212 0.8× 420 1.6× 141 2.5k
Manjunatha Mahadevappa India 23 740 0.6× 433 0.9× 781 1.9× 95 0.3× 514 1.9× 134 2.3k
Boreom Lee South Korea 29 1.2k 1.0× 251 0.5× 201 0.5× 394 1.4× 568 2.2× 89 2.7k
Malek Adjouadi United States 31 1.2k 1.0× 665 1.4× 132 0.3× 399 1.5× 222 0.8× 263 3.0k
Jinyi Long China 22 1.2k 1.0× 157 0.3× 579 1.4× 270 1.0× 159 0.6× 73 1.7k
Stan Gielen Netherlands 27 1.6k 1.3× 402 0.8× 404 1.0× 301 1.1× 365 1.4× 64 3.0k
John Porrill United Kingdom 27 1.2k 1.0× 570 1.2× 327 0.8× 173 0.6× 240 0.9× 87 2.7k
Mehran Ahmadlou Netherlands 22 2.2k 1.9× 144 0.3× 432 1.0× 215 0.8× 113 0.4× 36 2.9k
Peiyang Li China 27 1.7k 1.4× 423 0.9× 356 0.9× 347 1.3× 359 1.4× 75 2.3k

Countries citing papers authored by Mohammad Reza Daliri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Reza Daliri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Reza Daliri

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Reza Daliri. A scholar is included among the top collaborators of Mohammad Reza Daliri 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 Reza Daliri. Mohammad Reza Daliri 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
1.
Daliri, Mohammad Reza, et al.. (2025). Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback. Human Brain Mapping. 46(2). e70105–e70105.
2.
Daliri, Mohammad Reza, et al.. (2025). State-base dynamic functional connectivity analysis of fMRI data during facial emotional processing. Brain Imaging and Behavior. 19(6). 1307–1318.
3.
Constantinidis, Christos, et al.. (2025). Low-frequency local field potentials reveal integration of spatial and non-spatial information in prefrontal cortex. NeuroImage. 310. 121172–121172. 2 indexed citations
4.
Constantinidis, Christos, et al.. (2025). Unraveling the roles of spatial working memory sustained and selective neurons in prefrontal cortex. Communications Biology. 8(1). 767–767.
5.
Daliri, Mohammad Reza, et al.. (2025). Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters. Diagnostics. 15(3). 316–316.
6.
Daliri, Mohammad Reza, et al.. (2024). Influence of individual’s age on the characteristics of brain effective connectivity. GeroScience. 47(2). 2455–2474. 1 indexed citations
7.
Zhan, Liang, et al.. (2023). A novel multiclass-based framework for P300 detection in BCI matrix speller: Temporal EEG patterns of non-target trials vary based on their position to previous target stimuli. Engineering Applications of Artificial Intelligence. 123. 106381–106381. 5 indexed citations
8.
Fallah, Ali, et al.. (2023). An improved saliency model of visual attention dependent on image content. Frontiers in Human Neuroscience. 16. 862588–862588. 1 indexed citations
9.
Daliri, Mohammad Reza, et al.. (2023). Selective Modulation of Hippocampal Theta Oscillations in Response to Morphine versus Natural Reward. Brain Sciences. 13(2). 322–322. 3 indexed citations
10.
Torabi, Ali & Mohammad Reza Daliri. (2021). Applying nonlinear measures to the brain rhythms: an effective method for epilepsy diagnosis. BMC Medical Informatics and Decision Making. 21(1). 270–270. 3 indexed citations
11.
Sahraei, Hedayat, et al.. (2021). The Effect of Brain Teaser Games on the Attention of Players Based on Hormonal and Brain Signals Changes. SHILAP Revista de lepidopterología.
12.
13.
Shalchyan, Vahid, et al.. (2019). Adaptation effects of medial forebrain bundle micro-electrical stimulation. Bioengineered. 10(1). 78–86. 9 indexed citations
14.
Shalchyan, Vahid, et al.. (2019). Ratbot navigation using deep brain stimulation in ventral posteromedial nucleus. Bioengineered. 10(1). 250–260. 9 indexed citations
15.
Ahmadi, Amirmasoud, et al.. (2018). Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention. Computer Methods and Programs in Biomedicine. 169. 9–18. 50 indexed citations
16.
Daliri, Mohammad Reza, et al.. (2013). Estimation of neural firing rate: the wavelet density estimation approach. Biomedizinische Technik/Biomedical Engineering. 58(4). 377–86. 2 indexed citations
17.
Daliri, Mohammad Reza, et al.. (2012). Software Tools for the Analysis of Functional Magnetic Resonance Imaging. SHILAP Revista de lepidopterología. 17 indexed citations
18.
Daliri, Mohammad Reza, et al.. (2012). A SIMULATION-BASED STUDY OF DORSAL COCHLEAR NUCLEUS PYRAMIDAL CELL FIRING PATTERNS. SHILAP Revista de lepidopterología. 3(2). 22–31. 2 indexed citations
19.
Daliri, Mohammad Reza, et al.. (2011). Improving the Generalization of Neural Networks by Changing the Structure of Artificial Neuron. Malaysian Journal of Computer Science. 24(4). 195–204. 1 indexed citations
20.
Karimi-Rouzbahani, Hamid & Mohammad Reza Daliri. (2011). Diagnosis of Parkinson’s Disease in Human Using Voice Signals. SHILAP Revista de lepidopterología. 34 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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