Sebelan Danishvar
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Psychiatry and Mental health
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Sobhan SheykhivandAlireza MousaviEvina KatsouSaeed MeshginiV. VasilakiAhmad Habibizad NavinTohid Yousefi RezaiiAmin Babazadeh Sangar
- Topics
- EEG and Brain-Computer Interfaces (15 papers)AI in cancer detection (6 papers)Emotion and Mood Recognition (5 papers)
- Partner nations
- United KingdomIranUnited States
In The Last Decade
Sebelan Danishvar
40 papers receiving 495 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 202
- Computer Vision and Pattern Recognition 89
- Artificial Intelligence 77
- Psychiatry and Mental health 70
- Experimental and Cognitive Psychology 69
Countries citing papers authored by Sebelan Danishvar
This map shows the geographic impact of Sebelan Danishvar'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 Sebelan Danishvar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebelan Danishvar more than expected).
Fields of papers citing papers by Sebelan Danishvar
This network shows the impact of papers produced by Sebelan Danishvar. 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 Sebelan Danishvar. The network helps show where Sebelan Danishvar may publish in the future.
Co-authorship network of co-authors of Sebelan Danishvar
This figure shows the co-authorship network connecting the top 25 collaborators of Sebelan Danishvar. A scholar is included among the top collaborators of Sebelan Danishvar 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 Sebelan Danishvar. Sebelan Danishvar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 8 | |
| 18 | 24 | |
| 19 | 10 | |
| 20 | 1 |
About Sebelan Danishvar
Sebelan Danishvar is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 517 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), AI in cancer detection (6 papers) and Emotion and Mood Recognition (5 papers). The work is most often cited by research in Cognitive Neuroscience (202 citations), Experimental and Cognitive Psychology (69 citations) and Psychiatry and Mental health (70 citations). Sebelan Danishvar has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Sobhan Sheykhivand, Alireza Mousavi, Evina Katsou, Saeed Meshgini, V. Vasilaki, Ahmad Habibizad Navin, Tohid Yousefi Rezaii, Amin Babazadeh Sangar, Andrew McLeod and Zohreh Mousavi. Their work appears in journals such as Water Research, Expert Systems with Applications and IEEE Access.
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.