Ammar Ahmad Awan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Co-authors
- Dhabaleswar K. PandaHari SubramoniKhaled HamidoucheChing-Hsiang ChuJahanzeb Maqbool HashmiAkshay VenkateshYuxiong HeSamyam Rajbhandari
- Topics
- Advanced Neural Network Applications (16 papers)Parallel Computing and Optimization Techniques (12 papers)Advanced Data Storage Technologies (11 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Ammar Ahmad Awan
30 papers receiving 608 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 287
- Computer Vision and Pattern Recognition 250
- Computer Networks and Communications 224
- Hardware and Architecture 176
- Electrical and Electronic Engineering 138
Countries citing papers authored by Ammar Ahmad Awan
This map shows the geographic impact of Ammar Ahmad Awan'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 Ammar Ahmad Awan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Ahmad Awan more than expected).
Fields of papers citing papers by Ammar Ahmad Awan
This network shows the impact of papers produced by Ammar Ahmad Awan. 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 Ammar Ahmad Awan. The network helps show where Ammar Ahmad Awan may publish in the future.
Co-authorship network of co-authors of Ammar Ahmad Awan
This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Ahmad Awan. A scholar is included among the top collaborators of Ammar Ahmad Awan 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 Ammar Ahmad Awan. Ammar Ahmad Awan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 27 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 28 | |
| 11 | 54 | |
| 12 | 12 | |
| 13 | 21 | |
| 14 | 88 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 0 | |
| 20 | 9 |
About Ammar Ahmad Awan
Ammar Ahmad Awan is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 31 papers that have together received 624 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (16 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Hardware and Architecture (176 citations), Computer Vision and Pattern Recognition (250 citations) and Computational Mathematics (6 citations). Ammar Ahmad Awan has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Dhabaleswar K. Panda, Hari Subramoni, Khaled Hamidouche, Ching-Hsiang Chu, Jahanzeb Maqbool Hashmi, Akshay Venkatesh, Yuxiong He, Samyam Rajbhandari, Quentin Anthony and Canbing Li. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, ACM SIGPLAN Notices and IEEE Micro.
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.