Upal Mahbub
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
- Signal Processing top 10%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Hand Gesture Recognition Systems 7
-
- Speech and Audio Processing 9
- Blind Source Separation Techniques 3
- Co-authors
- Md Atiqur Rahman AhadHafiz ImtiazMd. Ashfanoor KabirShaikh Anowarul FattahRama ChellappaJukka KomulainenMd. Shafiur RahmanDenzil Ferreira
- Journals
- Pattern Recognition Letters (2 papers)Computer Communications (1 paper)IEEE Transactions on Biometrics Behavior and Identity Science (1 paper)Neurocomputing (1 paper)Circuits Systems and Signal Processing (1 paper)
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Upal Mahbub
32 papers receiving 292 citations
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 51
- Signal Processing 92
- Computer Vision and Pattern Recognition 119
- Computational Mechanics 45
- Control and Systems Engineering 43
Countries citing papers authored by Upal Mahbub
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 32 | |
| 8 | 2013 | 2 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 4 | |
| 11 | Gesture recognition with depth images — A simple approach | 2012 | 2 |
| 12 | 2012 | 13 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 4 | |
| 15 | Action recognition algorithm based on optical flow and RANSAC in frequency domain | 2011 | 16 |
| 16 | 2011 | 37 | |
| 17 | 2011 | 25 | |
| 18 | 2010 | 16 | |
| 19 | 2010 | 3 | |
| 20 | 2009 | 11 |
About Upal Mahbub
Upal Mahbub is a scholar working on Human-Computer Interaction, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 306 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), Gait Recognition and Analysis (7 papers), Hand Gesture Recognition Systems (7 papers), Video Surveillance and Tracking Methods (5 papers), Acoustic Wave Phenomena Research (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (51 citations), Signal Processing (92 citations), Computer Vision and Pattern Recognition (119 citations), Computational Mechanics (45 citations) and Control and Systems Engineering (43 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, Jukka Komulainen, Md. Shafiur Rahman, Denzil Ferreira, Tauhidur Rahman and Celia Shahnaz. Their work appears in journals such as Pattern Recognition Letters, Computer Communications, IEEE Transactions on Biometrics Behavior and Identity Science, Neurocomputing 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.