Tahera Hossain
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Sozo InoueMd Atiqur Rahman AhadAnindya Das AntarTahia TazinMasud AhmedPaula LagoYasushi MakiharaMd Shafiqul Islam
- Topics
- Context-Aware Activity Recognition Systems (18 papers)IoT and Edge/Fog Computing (7 papers)Gait Recognition and Analysis (4 papers)
- Journals
- SensorsACM Transactions on Computer-Human InteractionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Tahera Hossain
24 papers receiving 259 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 163
- Biomedical Engineering 89
- Computer Networks and Communications 54
- Electrical and Electronic Engineering 50
- Artificial Intelligence 46
Countries citing papers authored by Tahera Hossain
This map shows the geographic impact of Tahera Hossain'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 Tahera Hossain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahera Hossain more than expected).
Fields of papers citing papers by Tahera Hossain
This network shows the impact of papers produced by Tahera Hossain. 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 Tahera Hossain. The network helps show where Tahera Hossain may publish in the future.
Co-authorship network of co-authors of Tahera Hossain
This figure shows the co-authorship network connecting the top 25 collaborators of Tahera Hossain. A scholar is included among the top collaborators of Tahera Hossain 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 Tahera Hossain. Tahera Hossain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 39 | |
| 13 | 28 | |
| 14 | 32 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 6 |
About Tahera Hossain
Tahera Hossain is a scholar working on Computer Vision and Pattern Recognition, Transportation and Computer Networks and Communications, having authored 27 papers that have together received 264 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (7 papers) and Gait Recognition and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Human-Computer Interaction (30 citations) and Transportation (31 citations). Tahera Hossain has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Sozo Inoue, Md Atiqur Rahman Ahad, Anindya Das Antar, Tahia Tazin, Masud Ahmed, Paula Lago, Yasushi Makihara, Md Shafiqul Islam, Yasushi Yagi and Daigo Muramatsu. Their work appears in journals such as Sensors, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.