Tasweer Ahmad
- Media Technology top 2%
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- Human Pose and Action Recognition 10
- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 3
- Video Analysis and Summarization 2
- Image Processing and 3D Reconstruction 2
- Human-Computer Interaction top 10%
- Building and Construction top 10%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 4
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- Gait Recognition and Analysis 5
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- Planetary Science and Exploration 2
- Co-authors
- Lianwen JinLele XieSheng ZhangYuliang LiuLuojun LinXin ZhangAhmed M. HassanYutaka Matsuo
In The Last Decade
Tasweer Ahmad
19 papers receiving 471 citations
Peers
Comparison fields: 5 of 76
- Media Technology 171
- Computer Vision and Pattern Recognition 366
- Human-Computer Interaction 42
- Building and Construction 59
- Artificial Intelligence 124
Countries citing papers authored by Tasweer Ahmad
This map shows the geographic impact of Tasweer Ahmad'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 Tasweer Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tasweer Ahmad more than expected).
Fields of papers citing papers by Tasweer Ahmad
This network shows the impact of papers produced by Tasweer Ahmad. 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 Tasweer Ahmad. The network helps show where Tasweer Ahmad may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Tasweer Ahmad, 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 | 2023 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 89 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 30 | |
| 9 | Lunar Crater Detection via Region-Based Convolutional Neural Networks | 2018 | 5 |
| 10 | On Crater Classification Using Deep Convolutional Neural Networks | 2018 | 3 |
| 11 | 2018 | 202 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 1 | |
| 16 | Human Activity Recognition using Motion History Algorithm | 2014 | 3 |
| 17 | 2014 | 17 | |
| 18 | 2014 | 36 | |
| 19 | 2011 | 18 |
About Tasweer Ahmad
Tasweer Ahmad is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 19 papers that have together received 492 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (5 papers), Gait Recognition and Analysis (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Neural Network Applications (3 papers), Planetary Science and Exploration (2 papers), Video Analysis and Summarization (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Media Technology (171 citations), Computer Vision and Pattern Recognition (366 citations), Human-Computer Interaction (42 citations), Building and Construction (59 citations) and Artificial Intelligence (124 citations). Tasweer Ahmad has collaborated with scholars based in Pakistan, China and Estonia. Frequent co-authors include Lianwen Jin, Lele Xie, Sheng Zhang, Yuliang Liu, Luojun Lin, Xin Zhang, Ahmed M. Hassan, Yutaka Matsuo, Marc Cavazza and Helmut Prendinger. Their work appears in journals such as IEEE Access, Neurocomputing, IEEE Transactions on Intelligent Transportation Systems, Journal of Visual Communication and Image Representation and Sensors.
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.