Sandhya Krishnan
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 3
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- Innovative Teaching Methods 2
- Higher Education Practises and Engagement 1
- Co-authors
- Gerald Baumgartner (4 shared papers)P. Sadayappan (4 shared papers)J. Ramanujam (4 shared papers)Chi‐Chung Lam (4 shared papers)Daniel Cociorva (3 shared papers)Xiaoyang Gao (3 shared papers)Sriram Krishnamoorthy (3 shared papers)Venkatesh Choppella (3 shared papers)
- Journals
- CBE—Life Sciences Education (2 papers)Media Watch (1 paper)Journal of Research in Science Teaching (1 paper)Proceedings of the IEEE (1 paper)Molecular Physics (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sandhya Krishnan
12 papers receiving 253 citations
Peers
Comparison fields: 5 of 63
- Computational Mathematics 49
- Hardware and Architecture 143
- Computer Networks and Communications 91
- Spectroscopy 47
- Atomic and Molecular Physics, and Optics 65
Countries citing papers authored by Sandhya Krishnan
This map shows the geographic impact of Sandhya Krishnan'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 Sandhya Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Krishnan more than expected).
Fields of papers citing papers by Sandhya Krishnan
This network shows the impact of papers produced by Sandhya Krishnan. 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 Sandhya Krishnan. The network helps show where Sandhya Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya Krishnan, 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 | 2005 | 108 | |
| 2 | 2006 | 101 | |
| 3 | 2004 | 13 | |
| 4 | 2020 | 11 | |
| 5 | 2015 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2006 | 5 | |
| 9 | 2011 | 4 | |
| 10 | 2013 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2024 | 0 |
About Sandhya Krishnan
Sandhya Krishnan is a scholar working on Hardware and Architecture, Education, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 13 papers that have together received 265 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Innovative Teaching Methods (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Higher Education Practises and Engagement (1 paper), Physics of Superconductivity and Magnetism (1 paper), Advanced NMR Techniques and Applications (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Computational Mathematics (49 citations), Hardware and Architecture (143 citations), Computer Networks and Communications (91 citations), Spectroscopy (47 citations) and Atomic and Molecular Physics, and Optics (65 citations). Sandhya Krishnan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Gerald Baumgartner, P. Sadayappan, J. Ramanujam, Chi‐Chung Lam, Daniel Cociorva, Xiaoyang Gao, Sriram Krishnamoorthy, Venkatesh Choppella, Russell M. Pitzer and Qingda Lu. Their work appears in journals such as CBE—Life Sciences Education, Media Watch, Journal of Research in Science Teaching, Proceedings of the IEEE and Molecular Physics.
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.