Ali Maleki
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Experimental and Cognitive Psychology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Ali FallahFabio EspositoAmir Hossein HaghighiEmiliano CèMohammad Bagher MenhajVíctor Toro-RománSaeid RashidiFrancisco Pradas de la Fuente
- Topics
- Muscle activation and electromyography studies (29 papers)EEG and Brain-Computer Interfaces (29 papers)Neuroscience and Neural Engineering (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroscienceExpert Systems with Applications
- Partner nations
- IranUnited StatesItaly
In The Last Decade
Ali Maleki
50 papers receiving 398 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 188
- Biomedical Engineering 166
- Cardiology and Cardiovascular Medicine 89
- Experimental and Cognitive Psychology 77
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Ali Maleki
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
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-authorship network of co-authors of Ali Maleki
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Maleki. A scholar is included among the top collaborators of Ali Maleki 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 Ali Maleki. Ali Maleki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 132 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | Genetic Feedforward-Feedback Controller for Functional Electrical Stimulation Control of Elbow Joint Angle | 2 |
| 20 | Quantitative Assessment of Muscle Fatigue for FES Research Studies | 2 |
About Ali Maleki
Ali Maleki is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Biomedical Engineering, having authored 59 papers that have together received 409 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (29 papers), EEG and Brain-Computer Interfaces (29 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Cognitive Neuroscience (188 citations), Human-Computer Interaction (45 citations) and Experimental and Cognitive Psychology (77 citations). Ali Maleki has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Ali Fallah, Fabio Esposito, Amir Hossein Haghighi, Emiliano Cè, Mohammad Bagher Menhaj, Víctor Toro-Román, Saeid Rashidi, Francisco Pradas de la Fuente, Carlos Castellar Otín and Farnaz Ghassemi. Their work appears in journals such as SHILAP Revista de lepidopterología, Neuroscience 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.