Alireza Behrad

938 total citations
77 papers, 646 citations indexed

About

Alireza Behrad is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Alireza Behrad has authored 77 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 13 papers in Aerospace Engineering. Recurrent topics in Alireza Behrad's work include Digital Media Forensic Detection (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Advanced Vision and Imaging (12 papers). Alireza Behrad is often cited by papers focused on Digital Media Forensic Detection (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Advanced Vision and Imaging (12 papers). Alireza Behrad collaborates with scholars based in Iran and United States. Alireza Behrad's co-authors include Farbod Razzazi, Alireza Roosta, Mohammad Ali Pourmina, Ali Ahmadi, Massoud Babaie‐Zadeh, Hamidreza Rashidy Kanan, Seyed Ahmad Motamedi, Neeraj K. Kanhere, M. B. Ghaznavi‐Ghoushchi and Ehsan Azimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Processing & Management.

In The Last Decade

Alireza Behrad

76 papers receiving 620 citations

Peers

Alireza Behrad
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 494
  • Artificial Intelligence 92
  • Media Technology 76
  • Radiology, Nuclear Medicine and Imaging 63
  • Human-Computer Interaction 55
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Citations per field, relative to Alireza Behrad
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Citations per year, relative to Alireza Behrad
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Countries citing papers authored by Alireza Behrad

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Behrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Behrad

This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Behrad. A scholar is included among the top collaborators of Alireza Behrad 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 Alireza Behrad. Alireza Behrad 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
Three-Dimensional Shape Recognition and Classification Using Local Features of Model Views and Sparse Representation of Shape Descriptors
4
2 10
3 6
4
Forgery and Double Compression Detection in Digital Images using Combined Features of Quantization Effects on DCT Coefficients
2
5
Recognition of Handwritten Persian Two-digit Numerals Using a Novel Hybrid SVM/HMM algorithm
2
6 3
7 23
8 18
9 2
10 8
11 1
12 11
13 11
14 7
15
Automatic Human Face Detection and Tracking using Cascaded Classifiers and Deformable Meshes
1
16 7
17
Over-Height Vehicle Detection in Low Headroom Roads Using Digital Video Processing
9
18
Moving Target Detection and Tracking Using Edge Features Detection and Matching
8
19 3
20 4

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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