Mayank Daga
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Advanced Data Storage Technologies 7
- Distributed and Parallel Computing Systems 5
- Interconnection Networks and Systems 3
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- Parallel Computing and Optimization Techniques 10
- Co-authors
- Joseph L. Greathouse (3 shared papers)Wu-chun Feng (8 shared papers)Ashwin M. Aji (4 shared papers)Tom Scogland (3 shared papers)Mitesh R. Meswani (1 shared paper)Alexey V. Onufriev (1 shared paper)Ramu Anandakrishnan (1 shared paper)Shuai Che (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (1 paper)BMC Bioinformatics (1 paper)VTechWorks (Virginia Tech) (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Mayank Daga
16 papers receiving 400 citations
Peers
Comparison fields: 5 of 51
- Hardware and Architecture 309
- Computer Networks and Communications 287
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 85
- Information Systems 55
Countries citing papers authored by Mayank Daga
This map shows the geographic impact of Mayank Daga'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 Mayank Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Daga more than expected).
Fields of papers citing papers by Mayank Daga
This network shows the impact of papers produced by Mayank Daga. 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 Mayank Daga. The network helps show where Mayank Daga may publish in the future.
Co-authors
The 12 scholars most cited alongside Mayank Daga, 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 | 2014 | 156 | |
| 2 | 2011 | 77 | |
| 3 | 2015 | 31 | |
| 4 | 2012 | 31 | |
| 5 | 2014 | 23 | |
| 6 | 2011 | 23 | |
| 7 | 2016 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2011 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2015 | 10 | |
| 12 | 2011 | 4 | |
| 13 | CampProf: A Visual Performance Analysis Tool for Memory Bound GPU Kernels | 2010 | 4 |
| 14 | 2012 | 3 | |
| 15 | 2015 | 3 | |
| 16 | Architecture-Aware Optimization on a 1600-core Graphics Processor | 2011 | 1 |
About Mayank Daga
Mayank Daga is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Molecular Biology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers), Interconnection Networks and Systems (3 papers), Protein Structure and Dynamics (3 papers), Graph Theory and Algorithms (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (309 citations), Computer Networks and Communications (287 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (85 citations) and Information Systems (55 citations). Mayank Daga has collaborated with scholars based in United States and Canada. Frequent co-authors include Joseph L. Greathouse, Wu-chun Feng, Ashwin M. Aji, Tom Scogland, Mitesh R. Meswani, Alexey V. Onufriev, Ramu Anandakrishnan, Shuai Che, Bradford M. Beckmann and Gregory Rodgers. Their work appears in journals such as Journal of Chemical Theory and Computation, BMC Bioinformatics and VTechWorks (Virginia Tech).
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.