Aun Irtaza
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Signal Processing top 2%
- Media Technology top 2%
- Co-authors
- Ali JavedMuhammad Tariq MahmoodHafiz MalikKhalid Mahmood MalikMarriam NawazTahira NazirNudrat NidaMomina Masood
- Topics
- Music and Audio Processing (16 papers)Video Analysis and Summarization (15 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Aun Irtaza
97 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 789
- Radiology, Nuclear Medicine and Imaging 362
- Signal Processing 345
- Media Technology 250
Countries citing papers authored by Aun Irtaza
This map shows the geographic impact of Aun Irtaza'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 Aun Irtaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aun Irtaza more than expected).
Fields of papers citing papers by Aun Irtaza
This network shows the impact of papers produced by Aun Irtaza. 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 Aun Irtaza. The network helps show where Aun Irtaza may publish in the future.
Co-authorship network of co-authors of Aun Irtaza
This figure shows the co-authorship network connecting the top 25 collaborators of Aun Irtaza. A scholar is included among the top collaborators of Aun Irtaza 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 Aun Irtaza. Aun Irtaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 25 | |
| 17 | 56 | |
| 18 | 157 | |
| 19 | 60 | |
| 20 | 11 |
About Aun Irtaza
Aun Irtaza is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Music and Audio Processing (16 papers), Video Analysis and Summarization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Health Information Management (165 citations) and Signal Processing (345 citations). Aun Irtaza has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Ali Javed, Muhammad Tariq Mahmood, Hafiz Malik, Khalid Mahmood Malik, Marriam Nawaz, Tahira Nazir, Nudrat Nida, Momina Masood, Muhammad Haroon Yousaf and Saleh Albahli. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.