Sanaul Hoque

759 citations
60 papers · 449 indexed · h-index 12
Topics
Biometric Identification and Security (28 papers)User Authentication and Security Systems (16 papers)Face recognition and analysis (11 papers)

In The Last Decade

Sanaul Hoque

54 papers receiving 423 citations

Peers

Sanaul Hoque
Comparison fields: 5 of 82
  • Signal Processing 206
  • Computer Vision and Pattern Recognition 185
  • Information Systems 121
  • Cognitive Neuroscience 72
  • Artificial Intelligence 51
Replace Mansoor Nasir with:
Mansoor Nasir Pakistan
Wael Ouarda Tunisia
Kwang‐Seok Hong South Korea
Erhan Akbal Türkiye
R.M. Rademaker Netherlands
Dmitry O. Gorodnichy Canada
Rajeev Ranjan United States
Eliza Yingzi Du United States
Youtian Du China
Sanaul Hoque relative to Mansoor Nasir Pakistan Mansoor Nasir's profile →
Citations per field
00.5×8.5×
Mansoor Nasir · 1×
Citations per year

Countries citing papers authored by Sanaul Hoque

Since Specialization
Citations

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

Fields of papers citing papers by Sanaul Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanaul Hoque

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaul Hoque. A scholar is included among the top collaborators of Sanaul Hoque 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 Sanaul Hoque. Sanaul Hoque 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
#WorkIndexed citations
1 0
2 0
3 3
4 3
5 2
6 64
7
A Novel Wavelet-DCT Feature for EEG-based Biometric Person Recognition
1
8
Spoofing attempt detection using gaze colocation
3
9
ZOOMETRICS - Biometric Identification of Wildlife using Natural Body Marks
10
10
Are Two Eyes Better Than One?
1
11 3
12 2
13
Evaluating Biometric Encryption Key Generation
7
14
Assessing Behavioural Characteristics of Dyspraxia through on-line Drawing Analaysis
3
15 14
16
Intelligent Chain-Code Quantization for Multiple Classifier-Based Shape Recognition
2
17
Classifier Diversity Estimation in a Multiclassifier Face Recognition System based on Binary Feature Quantisation
1
18 2
19 0
20 11

About Sanaul Hoque

Sanaul Hoque is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Health Informatics, having authored 60 papers that have together received 449 indexed citations. Recurring topics across this work include Biometric Identification and Security (28 papers), User Authentication and Security Systems (16 papers) and Face recognition and analysis (11 papers). The work is most often cited by research in Signal Processing (206 citations), Computer Vision and Pattern Recognition (185 citations) and Radiological and Ultrasound Technology (29 citations). Sanaul Hoque has collaborated with scholars based in United Kingdom, Bangladesh and China. Frequent co-authors include Farzin Deravi, M.C. Fairhurst, Konstantinos Sirlantzis, Gareth Howells, Michael Fairhurst, Gilbert Kokwaro, Vũ Hoài Nam, Rich C. McIlroy, Neville A. Stanton and Nawal Alsufyani. Their work appears in journals such as IEEE Access, Sensors and Accident Analysis & Prevention.

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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