Keivan Maghooli
Impact in
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- Emotion and Mood Recognition
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- EEG and Brain-Computer Interfaces 31
- Co-authors
- Ali Motie Nasrabadi (14 shared papers)Seyed Kamaledin Setarehdan (8 shared papers)Morteza Zangeneh Soroush (10 shared papers)Sara Bagherzadeh (5 shared papers)Ahmad Shalbaf (4 shared papers)Arash Maghsoudi (4 shared papers)Nader Jafarnia Dabanloo (13 shared papers)Sepideh Hatamikia (1 shared paper)
In The Last Decade
Keivan Maghooli
98 papers receiving 930 citations
Peers
Comparison fields: 5 of 124
- Experimental and Cognitive Psychology 338
- Cognitive Neuroscience 487
- Human-Computer Interaction 66
- Signal Processing 109
- Health Information Management 32
Countries citing papers authored by Keivan Maghooli
This map shows the geographic impact of Keivan Maghooli'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 Keivan Maghooli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keivan Maghooli more than expected).
Fields of papers citing papers by Keivan Maghooli
This network shows the impact of papers produced by Keivan Maghooli. 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 Keivan Maghooli. The network helps show where Keivan Maghooli may publish in the future.
Co-authors
The 25 scholars most cited alongside Keivan Maghooli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 71 | |
| 2 | 2018 | 53 | |
| 3 | 2022 | 50 | |
| 4 | 2014 | 50 | |
| 5 | 2019 | 39 | |
| 6 | 2021 | 35 | |
| 7 | 2022 | 35 | |
| 8 | 2018 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2015 | 16 | |
| 20 | 2018 | 16 |
About Keivan Maghooli
Keivan Maghooli is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Biomedical Engineering, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 102 papers that have together received 969 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Emotion and Mood Recognition (19 papers), Biometric Identification and Security (7 papers), ECG Monitoring and Analysis (7 papers), Gaze Tracking and Assistive Technology (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Muscle activation and electromyography studies (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (338 citations), Cognitive Neuroscience (487 citations), Human-Computer Interaction (66 citations), Signal Processing (109 citations) and Health Information Management (32 citations). Keivan Maghooli has collaborated with scholars based in Iran, Türkiye and Belgium. Frequent co-authors include Ali Motie Nasrabadi, Seyed Kamaledin Setarehdan, Morteza Zangeneh Soroush, Sara Bagherzadeh, Ahmad Shalbaf, Arash Maghsoudi, Nader Jafarnia Dabanloo, Sepideh Hatamikia, Ata Akın and Ali Sheikhani. Their work appears in journals such as Biomedical Signal Processing and Control, Heliyon, Health Information Science and Systems, Optik and Journal of Applied Biomedicine.
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.