Mohammad Mikaili
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Physiology
- Co-authors
- Mohammad PooyanMeisam K. ArjmandiAmin HekmatmaneshPeyman Ghobadi‐AzbariAli Motie NasrabadiFarideh EbrahimiH. NazeranEdson Estrada
- Topics
- EEG and Brain-Computer Interfaces (7 papers)Sleep and Work-Related Fatigue (3 papers)Blind Source Separation Techniques (2 papers)
- Partner nations
- IranUnited StatesDenmark
In The Last Decade
Mohammad Mikaili
16 papers receiving 326 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 143
- Experimental and Cognitive Psychology 134
- Signal Processing 79
- Artificial Intelligence 72
- Physiology 68
Countries citing papers authored by Mohammad Mikaili
This map shows the geographic impact of Mohammad Mikaili'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 Mikaili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Mikaili more than expected).
Fields of papers citing papers by Mohammad Mikaili
This network shows the impact of papers produced by Mohammad Mikaili. 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 Mikaili. The network helps show where Mohammad Mikaili may publish in the future.
Co-authorship network of co-authors of Mohammad Mikaili
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Mikaili. A scholar is included among the top collaborators of Mohammad Mikaili 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 Mikaili. Mohammad Mikaili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 127 | |
| 11 | 2 | |
| 12 | 67 | |
| 13 | 19 | |
| 14 | ASSESSMENT OF TIME, FREQUENCY, AND WAVELET PACKET TRANSFORM FEATURES EXTRACTED FROM EEG FOR SLEEP STAGING USING SELF ORGANIZING MAPS (SOM) | 1 |
| 15 | 1 | |
| 16 | 8 |
About Mohammad Mikaili
Mohammad Mikaili is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology, having authored 16 papers that have together received 338 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Sleep and Work-Related Fatigue (3 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (134 citations), Signal Processing (79 citations) and Cognitive Neuroscience (143 citations). Mohammad Mikaili has collaborated with scholars based in Iran, United States and Denmark. Frequent co-authors include Mohammad Pooyan, Meisam K. Arjmandi, Amin Hekmatmanesh, Peyman Ghobadi‐Azbari, Ali Motie Nasrabadi, Farideh Ebrahimi, H. Nazeran, Edson Estrada, Mohammad Reza Raoufy and Hamidreza Jamaati. Their work appears in journals such as Expert Systems with Applications, Sleep Medicine and Journal of Voice.
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.