Mohammad Akbari

496 citations
19 papers · 220 indexed · h-index 8
Topics
Advanced Image Processing Techniques (6 papers)Advanced Data Compression Techniques (6 papers)Image and Signal Denoising Methods (4 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Mohammad Akbari

17 papers receiving 213 citations

Peers

Mohammad Akbari
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 178
  • Signal Processing 58
  • Artificial Intelligence 25
  • Pulmonary and Respiratory Medicine 14
  • Media Technology 11
Replace Abdelkrim Ouafi with:
Abdelkrim Ouafi Algeria
Soham Deshmukh United Kingdom
Zuheng Ming France
Laurent El Shafey Switzerland
Messaoud Bengherabi Algeria
Ali Dabouei United States
Meng Ao China
Alok Negi India
Andreas Humm Switzerland
Beste Üstübioğlu Türkiye
Mohammad Akbari relative to Abdelkrim Ouafi Algeria Abdelkrim Ouafi's profile →
Citations per field
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Abdelkrim Ouafi · 1×
Citations per year

Countries citing papers authored by Mohammad Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Akbari

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 37
5 18
6 8
7 7
8 13
9 71
10 1
11 12
12 6
13 20
14 11
15 2
16
A New Skin Detector for Different Color Spaces
2
17 2
18 1
19 2

About Mohammad Akbari

Mohammad Akbari is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 220 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Advanced Data Compression Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Signal Processing (58 citations) and Music (8 citations). Mohammad Akbari has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jie Liang, Jingning Han, Howard Cheng, Chengjie Tu, Jianping Lin, Guohe Zhang, Feng Liang, Dong Liu, Bing Li and Mahdi Navidbakhsh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and Multimedia Tools and 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.

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