Omid Dehzangi
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Mojtaba TaherisadrAbdollah DehzangiSomnuk Phon-AmnuaisukRoozbeh JafariVahid AlizadehAbdul SattarKuldip K. PaliwalAlok Sharma
- Topics
- EEG and Brain-Computer Interfaces (26 papers)Neuroscience and Neural Engineering (12 papers)Gaze Tracking and Assistive Technology (8 papers)
- Cited by
- Human-Computer InteractionCognitive NeurosciencePhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- United StatesSingaporeIran
In The Last Decade
Omid Dehzangi
48 papers receiving 617 citations
Peers
Comparison fields: 5 of 98
- Biomedical Engineering 191
- Cognitive Neuroscience 183
- Computer Vision and Pattern Recognition 111
- Molecular Biology 102
- Experimental and Cognitive Psychology 85
Countries citing papers authored by Omid Dehzangi
This map shows the geographic impact of Omid Dehzangi'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 Omid Dehzangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Dehzangi more than expected).
Fields of papers citing papers by Omid Dehzangi
This network shows the impact of papers produced by Omid Dehzangi. 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 Omid Dehzangi. The network helps show where Omid Dehzangi may publish in the future.
Co-authorship network of co-authors of Omid Dehzangi
This figure shows the co-authorship network connecting the top 25 collaborators of Omid Dehzangi. A scholar is included among the top collaborators of Omid Dehzangi 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 Omid Dehzangi. Omid Dehzangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 48 | |
| 15 | Using random forest for protein fold prediction problem: An empirical study | 38 |
| 16 | 0 | |
| 17 | 0 | |
| 18 | Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers | 21 |
| 19 | 3 | |
| 20 | 0 |
About Omid Dehzangi
Omid Dehzangi is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 52 papers that have together received 640 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (12 papers) and Gaze Tracking and Assistive Technology (8 papers). The work is most often cited by research in Human-Computer Interaction (58 citations), Cognitive Neuroscience (183 citations) and Physical Therapy, Sports Therapy and Rehabilitation (31 citations). Omid Dehzangi has collaborated with scholars based in United States, Singapore and Iran. Frequent co-authors include Mojtaba Taherisadr, Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Roozbeh Jafari, Vahid Alizadeh, Abdul Sattar, Kuldip K. Paliwal, Alok Sharma, Scott M. Galster and Viswam Nathan. Their work appears in journals such as Sensors, BioMed Research International and Pattern Recognition Letters.
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.