Sudharsanan Srinivasan
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- Advanced Fiber Laser Technologies 23
- Semiconductor Quantum Structures and Devices 15
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- Photonic and Optical Devices 69
- Semiconductor Lasers and Optical Devices 30
- Optical Network Technologies 17
- Advanced Photonic Communication Systems 14
- Advanced Fiber Optic Sensors 11
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing 9
- Co-authors
- John E. BowersMichael L. DavenportTin KomljenovićMartijn J. R. HeckGéza KurczveilAlan Y. LiuYongbo TangDi Liang
- Cited by
- Atomic and Molecular Physics, and OpticsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- Optics Letters (1 paper)Optics Express (8 papers)IEEE Transactions on Microwave Theory and Techniques (1 paper)
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Sudharsanan Srinivasan
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 968
- Electrical and Electronic Engineering 1.7k
- Artificial Intelligence 250
- Instrumentation 15
- Surfaces, Coatings and Films 29
Countries citing papers authored by Sudharsanan Srinivasan
This map shows the geographic impact of Sudharsanan Srinivasan'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 Sudharsanan Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudharsanan Srinivasan more than expected).
Fields of papers citing papers by Sudharsanan Srinivasan
This network shows the impact of papers produced by Sudharsanan Srinivasan. 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 Sudharsanan Srinivasan. The network helps show where Sudharsanan Srinivasan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sudharsanan Srinivasan, 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 | 2023 | 4 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 28 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 9 | |
| 8 | 2016 | 19 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 18 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 2 | |
| 16 | 2013 | 6 | |
| 17 | 2012 | 7 | |
| 18 | 2011 | 27 | |
| 19 | 2011 | 2 | |
| 20 | 1998 | 15 |
About Sudharsanan Srinivasan
Sudharsanan Srinivasan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Instrumentation, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (69 papers), Semiconductor Lasers and Optical Devices (30 papers), Advanced Fiber Laser Technologies (23 papers), Optical Network Technologies (17 papers), Semiconductor Quantum Structures and Devices (15 papers), Advanced Photonic Communication Systems (14 papers), Advanced Fiber Optic Sensors (11 papers) and Neural Networks and Reservoir Computing (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (968 citations), Electrical and Electronic Engineering (1.7k citations) and Artificial Intelligence (250 citations). Sudharsanan Srinivasan has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include John E. Bowers, Michael L. Davenport, Tin Komljenović, Martijn J. R. Heck, Géza Kurczveil, Alan Y. Liu, Yongbo Tang, Di Liang, Jared Hulme and Siddharth Jain. Their work appears in journals such as Optics Letters, Optics Express and IEEE Transactions on Microwave Theory and Techniques.
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.