Aboozar Ghaffari

576 total citations
37 papers, 415 citations indexed

About

Aboozar Ghaffari is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Aboozar Ghaffari has authored 37 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Signal Processing. Recurrent topics in Aboozar Ghaffari's work include Sparse and Compressive Sensing Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Medical Image Segmentation Techniques (9 papers). Aboozar Ghaffari is often cited by papers focused on Sparse and Compressive Sensing Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Medical Image Segmentation Techniques (9 papers). Aboozar Ghaffari collaborates with scholars based in Iran, United States and India. Aboozar Ghaffari's co-authors include Emad Fatemizadeh, Christian Jutten, Massoud Babaie‐Zadeh, Sajad Jafari, Karthikeyan Rajagopal, Saeed Bagheri Shouraki, Vahid Abolghasemi, Fahimeh Nazarimehr, Hamid Soltanian‐Zadeh and Seyed Mohammad Reza Hashemi Golpayegani and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Aboozar Ghaffari

31 papers receiving 403 citations

Peers

Aboozar Ghaffari
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 177
  • Computational Mechanics 122
  • Biomedical Engineering 96
  • Aerospace Engineering 81
  • Cardiology and Cardiovascular Medicine 69
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Citations per field, relative to Aboozar Ghaffari
Aboozar Ghaffari · 1×
Citations per year, relative to Aboozar Ghaffari
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Countries citing papers authored by Aboozar Ghaffari

Since Specialization
Citations

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

Fields of papers citing papers by Aboozar Ghaffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aboozar Ghaffari

This figure shows the co-authorship network connecting the top 25 collaborators of Aboozar Ghaffari. A scholar is included among the top collaborators of Aboozar Ghaffari 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 Aboozar Ghaffari. Aboozar Ghaffari 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 11
6 6
7 2
8 9
9 34
10 21
11 44
12 0
13 0
14 6
15 18
16 10
17 11
18 14
19 2
20 117

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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