Atif Rizwan
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Privacy-Preserving Technologies in Data 6
- Stochastic Gradient Optimization Techniques 4
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- Advanced Neural Network Applications 4
- Co-authors
- Rashid Ahmad (29 shared papers)Anam Nawaz Khan (32 shared papers)Do‐Hyeun Kim (15 shared papers)Naeem Iqbal (11 shared papers)Do Hyeun Kim (16 shared papers)Qazi Waqas Khan (15 shared papers)Ghada Atteia (9 shared papers)Nagwan Abdel Samee (8 shared papers)
- Journals
- IEEE Access (16 papers)Internet of Things (4 papers)Applied Sciences (3 papers)Engineering Applications of Artificial Intelligence (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Atif Rizwan
43 papers receiving 541 citations
Peers
Comparison fields: 5 of 101
- Neurology 77
- Health Information Management 27
- Building and Construction 72
- Artificial Intelligence 168
- Environmental Engineering 53
Countries citing papers authored by Atif Rizwan
This map shows the geographic impact of Atif Rizwan'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 Atif Rizwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atif Rizwan more than expected).
Fields of papers citing papers by Atif Rizwan
This network shows the impact of papers produced by Atif Rizwan. 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 Atif Rizwan. The network helps show where Atif Rizwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Atif Rizwan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2022 | 49 | |
| 3 | 2021 | 38 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 23 | |
| 7 | 2024 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Atif Rizwan
Atif Rizwan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 51 papers that have together received 559 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Advanced Neural Network Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Building Energy and Comfort Optimization (4 papers), Smart Grid Energy Management (4 papers), Drilling and Well Engineering (4 papers), Brain Tumor Detection and Classification (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Neurology (77 citations), Health Information Management (27 citations), Building and Construction (72 citations), Artificial Intelligence (168 citations) and Environmental Engineering (53 citations). Atif Rizwan has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Rashid Ahmad, Anam Nawaz Khan, Do‐Hyeun Kim, Naeem Iqbal, Do Hyeun Kim, Qazi Waqas Khan, Ghada Atteia, Nagwan Abdel Samee, Mona Jamjoom and Maali Alabdulhafith. Their work appears in journals such as IEEE Access, Internet of Things, Applied Sciences, Engineering Applications of Artificial Intelligence and IEEE Internet of Things Journal.
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.