Aun Irtaza

3.7k citations
101 papers · 2.5k indexed · 1 hit paper · h-index 27

Aun Irtaza

97 papers receiving 2.4k citations

Hit Papers

Deepfakes generation and detection: state-of-the-art, ope...256202220262023202450100150200250

Peers

Aun Irtaza
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 1.2k
  • Health Information Management 165
  • Signal Processing 345
  • Media Technology 250
  • Artificial Intelligence 789
Replace Ali Javed with:
Ali Javed Pakistan
Mohd Shafry Mohd Rahim Malaysia
Chiranji Lal Chowdhary India
Adi Alhudhaif Saudi Arabia
Ahmed Ghoneim Saudi Arabia
Sameem Abdul Kareem Malaysia
Mohammad Shorfuzzaman Saudi Arabia
David Beymer United States
Mohd Khanapi Abd Ghani Malaysia
Sonali Agarwal India
Aun Irtaza relative to Ali Javed Pakistan Ali Javed's profile →
Citations per field
00.5×3.5×
Ali Javed · 1×
Citations per year

Countries citing papers authored by Aun Irtaza

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Aun Irtaza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aun Irtaza Line = papers co-authored together Aun Irtaza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20247
3 20248
4 20242
5 20240
6 202313
7 20238
8 20238
9 20222
10 202216
11 202212
12 202123
13 20215
14 20217
15 202136
16 201925
17 201956
18 2019157
19 201760
20 201311

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), Advanced Image and Video Retrieval Techniques (14 papers), Digital Media Forensic Detection (14 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Image Retrieval and Classification Techniques (10 papers), Speech and Audio Processing (8 papers) and Human Pose and Action Recognition (8 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.

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