Tahmina Zebin
Impact in
- Health Informatics top 5%
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Context-Aware Activity Recognition Systems 6
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- Machine Learning in Healthcare 3
- AI in cancer detection 2
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Shahadate Rezvy (6 shared papers)Krikor Ozanyan (5 shared papers)Patricia Scully (4 shared papers)Yuan Luo (2 shared papers)Alexander J. Casson (4 shared papers)Niels Peek (4 shared papers)Matthew Sperrin (1 shared paper)Miltos Petridis (1 shared paper)
- Journals
- IEEE Access (1 paper)Neural Computing and Applications (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Applied Intelligence (1 paper)Journal of Computers (1 paper)
- Partner nations
- United KingdomIrelandBangladesh
In The Last Decade
Tahmina Zebin
18 papers receiving 601 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 31
- Computer Vision and Pattern Recognition 217
- Computer Networks and Communications 216
- Artificial Intelligence 288
- Signal Processing 82
Countries citing papers authored by Tahmina Zebin
This map shows the geographic impact of Tahmina Zebin'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 Tahmina Zebin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahmina Zebin more than expected).
Fields of papers citing papers by Tahmina Zebin
This network shows the impact of papers produced by Tahmina Zebin. 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 Tahmina Zebin. The network helps show where Tahmina Zebin may publish in the future.
Co-authors
The 17 scholars most cited alongside Tahmina Zebin, 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 | 2020 | 118 | |
| 2 | 2016 | 101 | |
| 3 | 2022 | 93 | |
| 4 | 2018 | 76 | |
| 5 | 2019 | 74 | |
| 6 | 2019 | 69 | |
| 7 | 2017 | 27 | |
| 8 | 2012 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2010 | 7 | |
| 14 | Transfer learning for endoscopy disease detection and segmentation with MASk-RCNN benchmark architecture | 2020 | 4 |
| 15 | Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. | 2020 | 4 |
| 16 | 2019 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 0 |
About Tahmina Zebin
Tahmina Zebin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 19 papers that have together received 631 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), Time Series Analysis and Forecasting (3 papers), Machine Learning in Healthcare (3 papers), Vehicle Dynamics and Control Systems (2 papers), Gait Recognition and Analysis (2 papers), AI in cancer detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Informatics (31 citations), Computer Vision and Pattern Recognition (217 citations), Computer Networks and Communications (216 citations), Artificial Intelligence (288 citations) and Signal Processing (82 citations). Tahmina Zebin has collaborated with scholars based in United Kingdom, Ireland and Bangladesh. Frequent co-authors include Shahadate Rezvy, Krikor Ozanyan, Patricia Scully, Yuan Luo, Alexander J. Casson, Niels Peek, Matthew Sperrin, Miltos Petridis, Aboubaker Lasebae and Thierry Chaussalet. Their work appears in journals such as IEEE Access, Neural Computing and Applications, IEEE Transactions on Information Forensics and Security, Applied Intelligence and Journal of Computers.
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.