Hamid Hassanpour

2.8k citations
173 papers · 2.0k indexed · h-index 22
Topics
Blind Source Separation Techniques (24 papers)Image and Signal Denoising Methods (20 papers)EEG and Brain-Computer Interfaces (19 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
Partner nations
IranAustraliaFrance

In The Last Decade

Hamid Hassanpour

165 papers receiving 1.8k citations

Peers

Hamid Hassanpour
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 929
  • Signal Processing 417
  • Artificial Intelligence 315
  • Media Technology 282
  • Cognitive Neuroscience 268
Replace Mohamed Deriche with:
Mohamed Deriche Saudi Arabia
Raghuveer Rao United States
Kap Luk Chan Singapore
Jana Novovičová Czechia
Karim Faez Iran
Yizhang Jiang China
Xianghua Xie United Kingdom
Konstantinos Koutroumbas Greece
Andrew D. Back Australia
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Citations per field
00.5×1.6×
Mohamed Deriche · 1×
Citations per year

Countries citing papers authored by Hamid Hassanpour

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Hassanpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Hassanpour

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Hassanpour. A scholar is included among the top collaborators of Hamid Hassanpour 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 Hassanpour. Hamid Hassanpour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 5
5 1
6 1
7 1
8 13
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10 6
11 2
12 1
13 7
14 3
15
Common Spatial Pattern for Human Identification Based on Finger Vein Images in Radon space
1
16 6
17 24
18 5
19
EEG Simulation Using Fractal Dimension Analysis
3
20
Time-frequency Analysis of High-frequency Activity for Seizure Detection and Tracking in Neonate
1

About Hamid Hassanpour

Hamid Hassanpour is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 173 papers that have together received 2.0k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (24 papers), Image and Signal Denoising Methods (20 papers) and EEG and Brain-Computer Interfaces (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (929 citations), Signal Processing (417 citations) and Media Technology (282 citations). Hamid Hassanpour has collaborated with scholars based in Iran, Australia and France. Frequent co-authors include Hoda Mashayekhi, Mostefa Mesbah, Ehsan Nadernejad, B. Boashash, Sara Sharifzadeh, Najmeh Samadiani, Pooya Davari, Vahid Abolghasemi, Ali Soleimani and Amin Zehtabian. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.

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