Hamid Aghajan
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Mahdieh Soleymani BaghshahZahra VahabiAlireza ModirshanechiHuang LeeMohammad Mahdi KianiWilfried PhilipsBart VanrumsteTinne Tuytelaars
- Topics
- Neural dynamics and brain function (12 papers)EEG and Brain-Computer Interfaces (12 papers)Video Surveillance and Tracking Methods (7 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- IranUnited StatesBelgium
In The Last Decade
Hamid Aghajan
36 papers receiving 500 citations
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 192
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 89
- Electrical and Electronic Engineering 82
- Biomedical Engineering 74
Countries citing papers authored by Hamid Aghajan
This map shows the geographic impact of Hamid Aghajan'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 Hamid Aghajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Aghajan more than expected).
Fields of papers citing papers by Hamid Aghajan
This network shows the impact of papers produced by Hamid Aghajan. 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 Hamid Aghajan. The network helps show where Hamid Aghajan may publish in the future.
Co-authorship network of co-authors of Hamid Aghajan
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Aghajan. A scholar is included among the top collaborators of Hamid Aghajan 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 Hamid Aghajan. Hamid Aghajan 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 | 9 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 75 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks | 4 |
| 15 | 14 | |
| 16 | 7 | |
| 17 | OPPORTUNISTIC FEATURE FUSION BASED SEGMENTATION FOR HUMAN GESTURE ANALYSIS IN VISION NETWORKS 1 | 0 |
| 18 | 4 | |
| 19 | Event-driven geographic routing for wireless image sensor networks | 2 |
| 20 | Vision-enabled node localization in wireless sensor networks | 14 |
About Hamid Aghajan
Hamid Aghajan is a scholar working on Cognitive Neuroscience, Sensory Systems and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 516 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Cognitive Neuroscience (192 citations), Computer Vision and Pattern Recognition (155 citations) and Sensory Systems (36 citations). Hamid Aghajan has collaborated with scholars based in Iran, United States and Belgium. Frequent co-authors include Mahdieh Soleymani Baghshah, Zahra Vahabi, Alireza Modirshanechi, Huang Lee, Mohammad Mahdi Kiani, Wilfried Philips, Bart Vanrumste, Tinne Tuytelaars, Anouk Van de Vel and Chih‐Wei Chen. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.