Mohammad Haghighat

2.1k total citations · 2 hit papers
18 papers, 1.4k citations indexed

About

Mohammad Haghighat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Mohammad Haghighat has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 5 papers in Media Technology. Recurrent topics in Mohammad Haghighat's work include Biometric Identification and Security (9 papers), Face and Expression Recognition (8 papers) and Advanced Image Fusion Techniques (5 papers). Mohammad Haghighat is often cited by papers focused on Biometric Identification and Security (9 papers), Face and Expression Recognition (8 papers) and Advanced Image Fusion Techniques (5 papers). Mohammad Haghighat collaborates with scholars based in United States, Iran and Saudi Arabia. Mohammad Haghighat's co-authors include Mohamed Abdel-Mottaleb, Hadi Seyedarabi, Ali Aghagolzadeh, Wadee Alhalabi, Saman Zonouz, Yang Bai, S. Negahdaripour, Xiuying Li and Mohammad Ali Tinati and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and Computers & Electrical Engineering.

In The Last Decade

Mohammad Haghighat

18 papers receiving 1.3k citations

Hit Papers

A non-reference image fusion metric based on mutual infor... 2011 2026 2016 2021 2011 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A non-reference image fusion metric based on mutual information of image features
    2011 329 citations Mohammad Haghighat, Ali Aghagolzadeh et al. Computers & Electrical Engineering profile →
  2. Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition
    2016 276 citations Mohammad Haghighat, Mohamed Abdel-Mottaleb et al. IEEE Transactions on Information Forensics and Security profile →

Peers

Mohammad Haghighat
Hadi Seyedarabi Iran
Ali Aghagolzadeh Iran
M.K.H. Leung Singapore
Ashish Khare India
Litong Feng Hong Kong
Jiying Zhao Canada
Honggang Zhang China
Hadi Seyedarabi Iran
Mohammad Haghighat
Citations per year, relative to Mohammad Haghighat Mohammad Haghighat (= 1×) peers Hadi Seyedarabi

Countries citing papers authored by Mohammad Haghighat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Haghighat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Haghighat

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

All Works

18 of 18 papers shown
1.
Haghighat, Mohammad, et al.. (2019). Assessing the Effect of Image Quality on SSD and Faster R-CNN Networks for Face Detection. 1589–1594. 9 indexed citations
2.
Bai, Yang, Mohammad Haghighat, & Mohamed Abdel-Mottaleb. (2018). Kernel Discriminant Correlation Analysis: Feature Level Fusion for Nonlinear Biometric Recognition. 3198–3203. 5 indexed citations
3.
Haghighat, Mohammad & Mohamed Abdel-Mottaleb. (2017). Low Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis. 912–917. 32 indexed citations
4.
Haghighat, Mohammad, Mohamed Abdel-Mottaleb, & Wadee Alhalabi. (2016). Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition. IEEE Transactions on Information Forensics and Security. 11(9). 1984–1996. 276 indexed citations breakdown →
5.
Haghighat, Mohammad, et al.. (2016). Segmentation, classification and modeling of two-dimensional forward-scan sonar imagery for efficient coding and synthesis. Zenodo (CERN European Organization for Nuclear Research). 9. 1–8. 4 indexed citations
6.
Haghighat, Mohammad. (2016). Biometrics for cybersecurity and unconstrained environments. 2 indexed citations
7.
Haghighat, Mohammad, Mohamed Abdel-Mottaleb, & Wadee Alhalabi. (2016). Discriminant correlation analysis for feature level fusion with application to multimodal biometrics. 1866–1870. 43 indexed citations
8.
Haghighat, Mohammad, Saman Zonouz, & Mohamed Abdel-Mottaleb. (2015). CloudID: Trustworthy cloud-based and cross-enterprise biometric identification. Expert Systems with Applications. 42(21). 7905–7916. 213 indexed citations
9.
Haghighat, Mohammad, Mohamed Abdel-Mottaleb, & Wadee Alhalabi. (2015). Fully automatic face normalization and single sample face recognition in unconstrained environments. Expert Systems with Applications. 47. 23–34. 110 indexed citations
10.
Haghighat, Mohammad, et al.. (2014). Fast-FMI: Non-reference image fusion metric. 1–3. 154 indexed citations
11.
Haghighat, Mohammad, Mohamed Abdel-Mottaleb, & Wadee Alhalabi. (2014). Computationally efficient statistical face model in the feature space. 11. 126–131. 1 indexed citations
12.
Haghighat, Mohammad, et al.. (2014). Image Quality Metric Based On Mutual Information Of Image Features. Zenodo (CERN European Organization for Nuclear Research). 2014. 1 indexed citations
13.
Tinati, Mohammad Ali, et al.. (2011). Evaluating the effect of the eigenvalues on BDF classifier in face detection. 1–5. 1 indexed citations
14.
Haghighat, Mohammad, et al.. (2011). Evaluating the informativity of features in dimensionality reduction methods. 1–5. 7 indexed citations
15.
Haghighat, Mohammad, Ali Aghagolzadeh, & Hadi Seyedarabi. (2011). A non-reference image fusion metric based on mutual information of image features. Computers & Electrical Engineering. 37(5). 744–756. 329 indexed citations breakdown →
16.
Haghighat, Mohammad, Ali Aghagolzadeh, & Hadi Seyedarabi. (2011). Multi-focus image fusion for visual sensor networks in DCT domain. Computers & Electrical Engineering. 37(5). 789–797. 182 indexed citations
17.
Haghighat, Mohammad, Ali Aghagolzadeh, & Hadi Seyedarabi. (2010). Real-time fusion of multi-focus images for visual sensor networks. 1–6. 29 indexed citations
18.
Haghighat, Mohammad, et al.. (2009). A region-based edge detection technique for noisy images. 1–5. 2 indexed citations

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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