Omar Arif
Impact in
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- Occupational Health and Safety Research
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Video Surveillance and Tracking Methods 7
- Advanced Vision and Imaging 6
- Face and Expression Recognition 4
- Multimodal Machine Learning Applications 4
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Patricio A. Vela (12 shared papers)Jochen Teizer (6 shared papers)Shi Zhong-ke (1 shared paper)Jun Yang (1 shared paper)Hammad Afzal (4 shared papers)Haider Abbas (3 shared papers)Muhammad Faisal Amjad (2 shared papers)Raheel Nawaz (2 shared papers)
- Journals
- IEEE Access (5 papers)Neurocomputing (1 paper)Advanced Engineering Informatics (1 paper)International Journal of General Systems (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Omar Arif
32 papers receiving 367 citations
Peers
Comparison fields: 5 of 85
- Radiological and Ultrasound Technology 71
- Geology 56
- Computer Vision and Pattern Recognition 101
- Building and Construction 55
- Software 14
Countries citing papers authored by Omar Arif
This map shows the geographic impact of Omar Arif'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 Omar Arif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Arif more than expected).
Fields of papers citing papers by Omar Arif
This network shows the impact of papers produced by Omar Arif. 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 Omar Arif. The network helps show where Omar Arif may publish in the future.
Co-authors
The 25 scholars most cited alongside Omar Arif, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 137 | |
| 2 | 2018 | 71 | |
| 3 | 2022 | 42 | |
| 4 | 2018 | 19 | |
| 5 | 2019 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2009 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2009 | 7 | |
| 10 | 2010 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2009 | 3 |
About Omar Arif
Omar Arif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 389 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Vision and Imaging (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Face and Expression Recognition (4 papers), Multimodal Machine Learning Applications (4 papers), Advanced MRI Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (71 citations), Geology (56 citations), Computer Vision and Pattern Recognition (101 citations), Building and Construction (55 citations) and Software (14 citations). Omar Arif has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Patricio A. Vela, Jochen Teizer, Shi Zhong-ke, Jun Yang, Hammad Afzal, Haider Abbas, Muhammad Faisal Amjad, Raheel Nawaz, Mehreen Ahmed and Rafia Mumtaz. Their work appears in journals such as IEEE Access, Neurocomputing, Advanced Engineering Informatics, International Journal of General Systems and Engineering Applications of Artificial Intelligence.
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.