Murtaza Taj
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- Video Surveillance and Tracking Methods 17
- Advanced Vision and Imaging 8
- Human Pose and Action Recognition 6
- Video Analysis and Summarization 4
- Advanced Image and Video Retrieval Techniques 4
- Signal Processing top 10%
- Speech and Audio Processing 5
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
- Target Tracking and Data Fusion in Sensor Networks 4
- Aerospace Engineering top 10%
- Co-authors
- Andrea CavallaroEmilio MaggioHuiyu ZhouNadeem AnjumAkhtar JamılAftab Ahmed KhanDostdar HussainMuhammad Kamran Malik
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Access (1 paper)IEEE Signal Processing Magazine (1 paper)
- Partner nations
- United KingdomPakistanUnited States
In The Last Decade
Murtaza Taj
30 papers receiving 495 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 271
- Signal Processing 66
- Artificial Intelligence 167
- Computer Networks and Communications 99
- Aerospace Engineering 91
Countries citing papers authored by Murtaza Taj
This map shows the geographic impact of Murtaza Taj'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 Murtaza Taj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murtaza Taj more than expected).
Fields of papers citing papers by Murtaza Taj
This network shows the impact of papers produced by Murtaza Taj. 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 Murtaza Taj. The network helps show where Murtaza Taj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Murtaza Taj, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 47 | |
| 7 | Neural Arithmetic Unit by reusing many small pre-trained networks | 2019 | 0 |
| 8 | 2019 | 4 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2012 | 2 | |
| 13 | 2011 | 96 | |
| 14 | 2009 | 26 | |
| 15 | Event analysis on TRECVid 2008 LondonGatwick dataset. | 2008 | 2 |
| 16 | 2008 | 9 | |
| 17 | 2008 | 126 | |
| 18 | Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset. | 2007 | 1 |
| 19 | 2007 | 8 | |
| 20 | 2007 | 1 |
About Murtaza Taj
Murtaza Taj is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 37 papers that have together received 518 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (17 papers), Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (6 papers), Speech and Audio Processing (5 papers), Anomaly Detection Techniques and Applications (5 papers), Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Signal Processing (66 citations) and Artificial Intelligence (167 citations). Murtaza Taj has collaborated with scholars based in United Kingdom, Pakistan and United States. Frequent co-authors include Andrea Cavallaro, Emilio Maggio, Huiyu Zhou, Nadeem Anjum, Akhtar Jamıl, Aftab Ahmed Khan, Dostdar Hussain, Muhammad Kamran Malik, Matteo Bregonzio and Muhammad Attique Khan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Signal Processing Magazine.
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.