Mihika Prabhu
- Electrical and Electronic Engineering top 1%
- Artificial Intelligence top 0.5%
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Dirk EnglundTom Baehr‐JonesNicholas C. HarrisMichael HochbergMarin SoljačićYichen ShenXin SunShijie Zhao
- Topics
- Neural Networks and Reservoir Computing (15 papers)Optical Network Technologies (11 papers)Photonic and Optical Devices (10 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Mihika Prabhu
18 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 2.6k
- Artificial Intelligence 2.4k
- Atomic and Molecular Physics, and Optics 548
- Biomedical Engineering 146
- Materials Chemistry 144
Countries citing papers authored by Mihika Prabhu
This map shows the geographic impact of Mihika Prabhu'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 Mihika Prabhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihika Prabhu more than expected).
Fields of papers citing papers by Mihika Prabhu
This network shows the impact of papers produced by Mihika Prabhu. 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 Mihika Prabhu. The network helps show where Mihika Prabhu may publish in the future.
Co-authorship network of co-authors of Mihika Prabhu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihika Prabhu. A scholar is included among the top collaborators of Mihika Prabhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mihika Prabhu. Mihika Prabhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 0 | |
| 3 | 41 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 98 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 253 | |
| 16 | Deep learning with coherent nanophotonic circuitsbreakdown → | 2072 |
| 17 | Quantum transport simulations in a programmable nanophotonic processorbreakdown → | 327 |
| 18 | 1 | |
| 19 | 112 | |
| 20 | 1 |
About Mihika Prabhu
Mihika Prabhu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (15 papers), Optical Network Technologies (11 papers) and Photonic and Optical Devices (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (77 citations), Artificial Intelligence (2.4k citations) and Electrical and Electronic Engineering (2.6k citations). Mihika Prabhu has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Dirk Englund, Tom Baehr‐Jones, Nicholas C. Harris, Michael Hochberg, Marin Soljačić, Yichen Shen, Xin Sun, Shijie Zhao, Scott A. Skirlo and Hugo Larochelle. Their work appears in journals such as Nature Communications, Nature Photonics and Nature 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.