Md Azher Uddin

452 citations
25 papers · 297 · h-index 8

Impact in

Papers in

    • Video Analysis and Summarization 6
    • Video Surveillance and Tracking Methods 6
    • Advanced Image and Video Retrieval Techniques 5
    • Human Pose and Action Recognition 4
    • Face and Expression Recognition 4
    • Face recognition and analysis 4
    • Image Retrieval and Classification Techniques 3
    • Emotion and Mood Recognition 4

Md Azher Uddin

20 papers receiving 288 citations

Peers

Md Azher Uddin
Comparison fields: 5 of 44
  • Human-Computer Interaction 54
  • Experimental and Cognitive Psychology 114
  • Computer Vision and Pattern Recognition 144
  • Applied Psychology 13
  • Cognitive Neuroscience 49
Replace Laura Docío-Fernández with:
Laura Docío-Fernández Spain
Yona Falinie A. Gaus United Kingdom
Paweł Tarnowski Poland
Kalin Stefanov Australia
Antoine Toisoul United Kingdom
Panagiotis P. Filntisis Greece
C.E. van den Heuvel Netherlands
Felix Kistler Germany
Mihai Gavrilescu Romania
Esam Ghaleb Netherlands
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Citations per field
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Laura Docío-Fernández · 1×
Citations per year

Countries citing papers authored by Md Azher Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md Azher Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Azher Uddin. 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 Md Azher Uddin. The network helps show where Md Azher Uddin may publish in the future.

Co-authors

The 13 scholars most cited alongside Md Azher Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md Azher Uddin Line = papers co-authored together Md Azher Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 202258
3 201646
4 201732
5 201927
6 201918
7 202210
8 20189
9 20216
10 20245
11 20183
12 20203
13 20242
14 20202
15 20182
16 20242
17 20162
18 20241
19 20241
20 20251

About Md Azher Uddin

Md Azher Uddin is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Information Systems, Human-Computer Interaction and Cognitive Neuroscience, having authored 25 papers that have together received 297 indexed citations. Recurring topics across this work include Video Analysis and Summarization (6 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (4 papers), Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers), Emotion and Mood Recognition (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (54 citations), Experimental and Cognitive Psychology (114 citations), Computer Vision and Pattern Recognition (144 citations), Applied Psychology (13 citations) and Cognitive Neuroscience (49 citations). Md Azher Uddin has collaborated with scholars based in South Korea, United Arab Emirates and United States. Frequent co-authors include Young-Koo Lee, Kyung-Ah Sohn, Aftab Alam, Nguyen Anh Tu, Weihua Xu, Taeyeon Kim, Muhammad Umair, Weihua Xu, M. Mofazzal Hossain and Hanan Salam. Their work appears in journals such as Applied Sciences, IEEE Access, IEEE Transactions on Affective Computing, Scientific Reports and Applied Intelligence.

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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