Humza Naveed
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Information Systems
- Biomedical Engineering
- Signal Processing
- Co-authors
- Saeed AnwarAjmal MianAsad Ullah KhanKashif JavedShi QiuNaveed AkhtarMuhammad UsmanMuhammad Saqib
- Topics
- Traffic and Road Safety (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)Multimodal Machine Learning Applications (2 papers)
- Journals
- Engineering Applications of Artificial IntelligenceJournal of Visual Communication and Image RepresentationACM Transactions on Intelligent Systems and Technology
- Partner nations
- PakistanAustraliaSaudi Arabia
In The Last Decade
Humza Naveed
6 papers receiving 155 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 52
- Artificial Intelligence 47
- Information Systems 11
- Biomedical Engineering 11
- Signal Processing 8
Countries citing papers authored by Humza Naveed
This map shows the geographic impact of Humza Naveed'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 Humza Naveed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humza Naveed more than expected).
Fields of papers citing papers by Humza Naveed
This network shows the impact of papers produced by Humza Naveed. 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 Humza Naveed. The network helps show where Humza Naveed may publish in the future.
Co-authorship network of co-authors of Humza Naveed
This figure shows the co-authorship network connecting the top 25 collaborators of Humza Naveed. A scholar is included among the top collaborators of Humza Naveed 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 Humza Naveed. Humza Naveed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Comprehensive Overview of Large Language Modelsbreakdown → | 72 |
| 2 | 44 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 2 |
About Humza Naveed
Humza Naveed is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Media Technology, having authored 7 papers that have together received 159 indexed citations. Recurring topics across this work include Traffic and Road Safety (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Health Informatics (5 citations), Computer Vision and Pattern Recognition (52 citations) and Artificial Intelligence (47 citations). Humza Naveed has collaborated with scholars based in Pakistan, Australia and Saudi Arabia. Frequent co-authors include Saeed Anwar, Ajmal Mian, Asad Ullah Khan, Kashif Javed, Shi Qiu, Naveed Akhtar, Muhammad Usman, Muhammad Saqib, Nick Barnes and Muhammad Usman Ghani Khan. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Visual Communication and Image Representation and ACM Transactions on Intelligent Systems and Technology.
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.