Naveed Ejaz
Impact in
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Signal Processing top 5%
- Music and Audio Processing
Papers in
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- Video Analysis and Summarization 11
- Human Pose and Action Recognition 5
- Advanced Image and Video Retrieval Techniques 5
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Sung Wook Baik (16 shared papers)Irfan Mehmood (10 shared papers)Waleed Ejaz (5 shared papers)Najam Ul Hasan (4 shared papers)Muhammad Sajjad (5 shared papers)Salimur Choudhury (6 shared papers)Hyung Ham Kim (1 shared paper)Hyung Seok Kim (2 shared papers)
- Journals
- IEEE Access (4 papers)Engineering Failure Analysis (4 papers)Multimedia Tools and Applications (3 papers)Sensors (2 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- PakistanSouth KoreaCanada
In The Last Decade
Naveed Ejaz
48 papers receiving 970 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 532
- Signal Processing 228
- Industrial and Manufacturing Engineering 69
- Media Technology 53
- Computer Networks and Communications 113
Countries citing papers authored by Naveed Ejaz
This map shows the geographic impact of Naveed Ejaz'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 Naveed Ejaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveed Ejaz more than expected).
Fields of papers citing papers by Naveed Ejaz
This network shows the impact of papers produced by Naveed Ejaz. 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 Naveed Ejaz. The network helps show where Naveed Ejaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Naveed Ejaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 143 | |
| 2 | 2012 | 139 | |
| 3 | 2016 | 86 | |
| 4 | 2010 | 81 | |
| 5 | 2012 | 69 | |
| 6 | 2013 | 45 | |
| 7 | 2013 | 39 | |
| 8 | 2020 | 36 | |
| 9 | 2023 | 29 | |
| 10 | 2011 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2012 | 22 | |
| 13 | 2008 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2012 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2022 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2012 | 12 |
About Naveed Ejaz
Naveed Ejaz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Mechanical Engineering and Sociology and Political Science, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Video Analysis and Summarization (11 papers), Multimedia Communication and Technology (6 papers), Human Pose and Action Recognition (5 papers), Music and Audio Processing (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Mechanical Failure Analysis and Simulation (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Signal Processing (228 citations), Industrial and Manufacturing Engineering (69 citations), Media Technology (53 citations) and Computer Networks and Communications (113 citations). Naveed Ejaz has collaborated with scholars based in Pakistan, South Korea and Canada. Frequent co-authors include Sung Wook Baik, Irfan Mehmood, Waleed Ejaz, Najam Ul Hasan, Muhammad Sajjad, Salimur Choudhury, Hyung Ham Kim, Hyung Seok Kim, Minho Jo and Alagan Anpalagan. Their work appears in journals such as IEEE Access, Engineering Failure Analysis, Multimedia Tools and Applications, Sensors and Artificial Intelligence Review.
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.