Ariful Azad
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 10%
Papers in
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- Parallel Computing and Optimization Techniques 21
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- Graph Theory and Algorithms 28
- Co-authors
- Aydın Buluç (28 shared papers)Alex Pothen (13 shared papers)Georgios A. Pavlopoulos (3 shared papers)Nikos C. Kyrpides (2 shared papers)Md. Khaledur Rahman (10 shared papers)Christos A. Ouzounis (1 shared paper)Oğuz Selvitopi (7 shared papers)Bartek P. Rajwa (4 shared papers)
- Journals
- Parallel Computing (3 papers)BMC Bioinformatics (2 papers)Scientific Reports (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
Ariful Azad
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Hardware and Architecture 517
- Computational Mathematics 12
- Computer Vision and Pattern Recognition 395
- Computational Theory and Mathematics 160
- Artificial Intelligence 163
Countries citing papers authored by Ariful Azad
This map shows the geographic impact of Ariful Azad'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 Ariful Azad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariful Azad more than expected).
Fields of papers citing papers by Ariful Azad
This network shows the impact of papers produced by Ariful Azad. 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 Ariful Azad. The network helps show where Ariful Azad may publish in the future.
Co-authors
The 25 scholars most cited alongside Ariful Azad, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 115 | |
| 2 | 2015 | 114 | |
| 3 | 2023 | 110 | |
| 4 | 2016 | 86 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 44 | |
| 7 | 2017 | 41 | |
| 8 | 2019 | 36 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2012 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2021 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2017 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 22 | |
| 20 | 2020 | 20 |
About Ariful Azad
Ariful Azad is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (28 papers), Parallel Computing and Optimization Techniques (21 papers), Matrix Theory and Algorithms (9 papers), Advanced Clustering Algorithms Research (6 papers), Complexity and Algorithms in Graphs (6 papers), Machine Learning in Healthcare (5 papers), Advanced Graph Neural Networks (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Hardware and Architecture (517 citations), Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (395 citations), Computational Theory and Mathematics (160 citations) and Artificial Intelligence (163 citations). Ariful Azad has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Aydın Buluç, Alex Pothen, Georgios A. Pavlopoulos, Nikos C. Kyrpides, Md. Khaledur Rahman, Christos A. Ouzounis, Oğuz Selvitopi, Bartek P. Rajwa, Mahantesh M. Halappanavar and Samuel Williams. Their work appears in journals such as Parallel Computing, BMC Bioinformatics, Scientific Reports, IEEE Transactions on Parallel and Distributed Systems and SIAM Journal on Scientific Computing.
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.