Amik Singh
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 5%
Papers in
-
- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 2
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Richard Vuduc (2 shared papers)Jee Choi (2 shared papers)Leonid Oliker (2 shared papers)Mikhail Smelyanskiy (2 shared papers)Pradeep Dubey (2 shared papers)John Shalf (2 shared papers)Ann Almgren (2 shared papers)Brian Van Straalen (2 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Amik Singh
6 papers receiving 488 citations
Amik Singh's Hit Papers
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 411
- Computational Mathematics 19
- Computer Networks and Communications 350
- Computational Theory and Mathematics 129
- Computer Graphics and Computer-Aided Design 11
Countries citing papers authored by Amik Singh
This map shows the geographic impact of Amik Singh'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 Amik Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amik Singh more than expected).
Fields of papers citing papers by Amik Singh
This network shows the impact of papers produced by Amik Singh. 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 Amik Singh. The network helps show where Amik Singh may publish in the future.
Co-authors
The 13 scholars most cited alongside Amik Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Model-driven autotuning of sparse matrix-vector multiply on GPUs Hit paper breakdown → | 2010 | 280 |
| 2 | 2010 | 115 | |
| 3 | 2012 | 42 | |
| 4 | 2012 | 33 | |
| 5 | 2011 | 31 | |
| 6 | Achieving magnitude order improvement in Porter stemmer algorithm over multi-core architecture | 2010 | 8 |
About Amik Singh
Amik Singh is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 6 papers that have together received 509 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Matrix Theory and Algorithms (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Hardware and Architecture (411 citations), Computational Mathematics (19 citations), Computer Networks and Communications (350 citations), Computational Theory and Mathematics (129 citations) and Computer Graphics and Computer-Aided Design (11 citations). Amik Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Richard Vuduc, Jee Choi, Leonid Oliker, Mikhail Smelyanskiy, Pradeep Dubey, John Shalf, Ann Almgren, Brian Van Straalen, Dhiraj Kalamkar and Samuel Williams. Their work appears in journals such as ACM SIGPLAN Notices and eScholarship (California Digital Library).
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.