Mohammad Haghighat

2.1k citations
18 papers · 1.4k indexed · 2 hit papers · h-index 10

Mohammad Haghighat

18 papers receiving 1.3k citations

Hit Papers

A non-reference image fusion metric based on mutual infor...201120262016202120112016100200300

Peers

Mohammad Haghighat
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 856
  • Media Technology 683
  • Signal Processing 248
  • Aerospace Engineering 188
  • Biomedical Engineering 153
Replace Ali Aghagolzadeh with:
Ali Aghagolzadeh Iran
Hadi Seyedarabi Iran
C.N. Canagarajah United Kingdom
Jiying Zhao Canada
Ashish Khare India
M.K.H. Leung Singapore
Xiaoqing Ding China
Mohammad Haghighat relative to Ali Aghagolzadeh Iran Ali Aghagolzadeh's profile →
Citations per field
00.5×1.5×1.9×
Ali Aghagolzadeh · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 5
3 32
4
Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognitionbreakdown →
276
5 4
6
Biometrics for cybersecurity and unconstrained environments
2
7 43
8 213
9 110
10 154
11 1
12 1
13 1
14 7
15
A non-reference image fusion metric based on mutual information of image featuresbreakdown →
329
16 182
17 29
18 2

About Mohammad Haghighat

Mohammad Haghighat is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Face and Expression Recognition (8 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Media Technology (683 citations), Computer Vision and Pattern Recognition (856 citations) and Signal Processing (248 citations). Mohammad Haghighat has collaborated with scholars based in United States, Iran and Saudi Arabia. Frequent co-authors include Mohamed Abdel-Mottaleb, Hadi Seyedarabi, Ali Aghagolzadeh, Wadee Alhalabi, Saman Zonouz, Yang Bai, S. Negahdaripour, Xiuying Li and Mohammad Ali Tinati. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and Computers & Electrical Engineering.

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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