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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- Parallel Computing and Optimization Techniques 8
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- Advanced Data Storage Technologies 5
- Distributed and Parallel Computing Systems 5
- Interconnection Networks and Systems 3
- Co-authors
- Joseph L. Greathouse (3 shared papers)Wu-chun Feng (6 shared papers)Ashwin M. Aji (3 shared papers)Tom Scogland (2 shared papers)Mitesh R. Meswani (1 shared paper)Alexey V. Onufriev (1 shared paper)Ramu Anandakrishnan (1 shared paper)Bradford M. Beckmann (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (1 paper)BMC Bioinformatics (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Mayank Daga
15 papers receiving 454 citations
Peers
Comparison fields: 5 of 51
- Hardware and Architecture 340
- Computer Networks and Communications 308
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 95
- Computational Theory and Mathematics 47
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 14 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 | 185 | |
| 2 | 2011 | 85 | |
| 3 | 2015 | 37 | |
| 4 | 2012 | 32 | |
| 5 | 2014 | 25 | |
| 6 | 2011 | 23 | |
| 7 | 2011 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2011 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2020 | 8 | |
| 13 | 2011 | 5 | |
| 14 | 2015 | 3 | |
| 15 | 2012 | 3 |
About Mayank Daga
Mayank Daga is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 15 papers that have together received 476 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (5 papers), Interconnection Networks and Systems (3 papers), Protein Structure and Dynamics (2 papers), Cloud Computing and Resource Management (2 papers), Graph Theory and Algorithms (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (340 citations), Computer Networks and Communications (308 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (95 citations) and Computational Theory and Mathematics (47 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, Bradford M. Beckmann, Wei Wu and Gregory P. Rodgers. Their work appears in journals such as Journal of Chemical Theory and Computation, BMC Bioinformatics and arXiv (Cornell University).
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.