Upal Mahbub

32 papers receiving 294 citations

Peers

Upal Mahbub
Comparison fields: 5 of 60
  • Human-Computer Interaction 52
  • Signal Processing 92
  • Computer Vision and Pattern Recognition 118
  • Computational Mechanics 45
  • Control and Systems Engineering 42
Replace Hafiz Imtiaz with:
Hafiz Imtiaz Bangladesh
Cristian Canton-­Ferrer Spain
T.S. Huang United States
Dohyung Kim South Korea
Douglas Fidaleo United States
Zhimeng Zhang China
Hiroyasu Koshimizu Japan
Piet Verhoeve Belgium
Beibei Liu China
Yuning Jiang Sweden
Upal Mahbub relative to Hafiz Imtiaz Bangladesh Hafiz Imtiaz's profile →
Citations per field
00.5×4.1×
Hafiz Imtiaz · 1×
Citations per year

Countries citing papers authored by Upal Mahbub

Since Specialization
Citations

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

Fields of papers citing papers by Upal Mahbub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Upal Mahbub, 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 Upal Mahbub Line = papers co-authored together Upal Mahbub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201136
2 201234
3 201932
4 201124
5 201320
6 201017
7
Action recognition algorithm based on optical flow and RANSAC in frequency domain
201116
8 201213
9 201412
10 202312
11 200911
12 202110
13 20169
14 20208
15 20158
16 20146
17 20124
18 20124
19 20124
20 20134

About Upal Mahbub

Upal Mahbub is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering, Computational Mechanics and Human-Computer Interaction, having authored 32 papers that have together received 308 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (13 papers), Speech and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (8 papers), Hand Gesture Recognition Systems (7 papers), Gait Recognition and Analysis (7 papers), Video Surveillance and Tracking Methods (5 papers), Acoustic Wave Phenomena Research (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (52 citations), Signal Processing (92 citations), Computer Vision and Pattern Recognition (118 citations), Computational Mechanics (45 citations) and Control and Systems Engineering (42 citations). Upal Mahbub has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Md Atiqur Rahman Ahad, Hafiz Imtiaz, Md. Ashfanoor Kabir, Shaikh Anowarul Fattah, Rama Chellappa, Denzil Ferreira, Tauhidur Rahman, Md. Shafiur Rahman, Jukka Komulainen and Celia Shahnaz. Their work appears in journals such as Pattern Recognition Letters, Neurocomputing, IEEE Transactions on Biometrics Behavior and Identity Science, Computer Communications and Circuits Systems and Signal Processing.

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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