Ali Maleki

51 papers receiving 409 citations

Peers

Ali Maleki
Comparison fields: 5 of 84
  • Cognitive Neuroscience 188
  • Human-Computer Interaction 42
  • Experimental and Cognitive Psychology 73
  • Cardiology and Cardiovascular Medicine 85
  • Cellular and Molecular Neuroscience 65
Replace Carlos Júlio Tierra-Criollo with:
Carlos Júlio Tierra-Criollo Brazil
Debatri Chatterjee India
P. A. Karthick India
Yunfa Fu China
Dalin Yang South Korea
Imali Hettiarachchi Australia
Szczepan Paszkiel Poland
Davide Borra Italy
Jesús Minguillón Spain
Yunseo Ku South Korea
Ali Maleki relative to Carlos Júlio Tierra-Criollo Brazil Carlos Júlio Tierra-Criollo's profile →
Citations per field
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Carlos Júlio Tierra-Criollo · 1×
Citations per year

Countries citing papers authored by Ali Maleki

Since Specialization
Citations

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

Fields of papers citing papers by Ali Maleki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ali Maleki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Maleki Line = papers co-authored together Ali Maleki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 201923
3 202020
4 201818
5 202116
6 202314
7 201914
8 202012
9 202012
10 202111
11 201910
12 20199
13 20149
14 20208
15 20138
16 20086
17 20186
18 20226
19 20116
20 20245

About Ali Maleki

Ali Maleki is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 61 papers that have together received 419 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Muscle activation and electromyography studies (26 papers), Motor Control and Adaptation (11 papers), Neuroscience and Neural Engineering (10 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Optimal Power Flow Distribution (3 papers). The work is most often cited by research in Cognitive Neuroscience (188 citations), Human-Computer Interaction (42 citations), Experimental and Cognitive Psychology (73 citations), Cardiology and Cardiovascular Medicine (85 citations) and Cellular and Molecular Neuroscience (65 citations). Ali Maleki has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Ali Fallah, Emiliano Cè, Mohammad Bagher Menhaj, Amir Hossein Haghighi, Fabio Esposito, Mohammad Hassan Nazari, Seyyed Mohammad Sadegh Ghiasi, Saeid Rashidi, Farnaz Ghassemi and Maryam Fani. Their work appears in journals such as Biomedical Signal Processing and Control, Physica A Statistical Mechanics and its Applications, Computer Methods and Programs in Biomedicine, Biological Cybernetics and Expert Systems with Applications.

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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