Mihika Prabhu

4.4k total citations · 2 hit papers
20 papers, 3.0k citations indexed

About

Mihika Prabhu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mihika Prabhu has authored 20 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mihika Prabhu's work include Neural Networks and Reservoir Computing (15 papers), Optical Network Technologies (11 papers) and Photonic and Optical Devices (10 papers). Mihika Prabhu is often cited by papers focused on Neural Networks and Reservoir Computing (15 papers), Optical Network Technologies (11 papers) and Photonic and Optical Devices (10 papers). Mihika Prabhu collaborates with scholars based in United States, United Kingdom and Austria. Mihika Prabhu's co-authors include Dirk Englund, Tom Baehr‐Jones, Nicholas C. Harris, Michael Hochberg, Marin Soljačić, Yichen Shen, Hugo Larochelle, Shijie Zhao, Scott A. Skirlo and Xin Sun and has published in prestigious journals such as Nature Communications, Nature Photonics and Nature Physics.

In The Last Decade

Mihika Prabhu

18 papers receiving 2.8k citations

Hit Papers

Deep learning with cohere... 2017 2026 2020 2023 2017 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mihika Prabhu United States 9 2.6k 2.4k 548 146 144 20 3.0k
Nicholas C. Harris United States 22 3.7k 1.4× 3.1k 1.3× 1.1k 1.9× 236 1.6× 223 1.5× 48 4.3k
Scott A. Skirlo United States 9 2.1k 0.8× 1.8k 0.8× 856 1.6× 210 1.4× 144 1.0× 13 2.8k
Thomas Ferreira de Lima United States 28 4.1k 1.6× 3.8k 1.6× 405 0.7× 128 0.9× 133 0.9× 93 4.3k
Johannes Feldmann Germany 12 2.3k 0.9× 1.8k 0.8× 362 0.7× 165 1.1× 558 3.9× 21 2.6k
Helge Gehring Germany 13 1.2k 0.5× 891 0.4× 432 0.8× 170 1.2× 172 1.2× 24 1.5k
Bhavin J. Shastri United States 34 5.9k 2.3× 5.0k 2.1× 723 1.3× 200 1.4× 188 1.3× 191 6.3k
Anton Lukashchuk Switzerland 12 1.7k 0.7× 818 0.3× 975 1.8× 146 1.0× 157 1.1× 26 2.0k
Toshikazu Hashimoto Japan 23 1.9k 0.7× 1.0k 0.4× 759 1.4× 200 1.4× 25 0.2× 145 2.5k
Xianshu Luo Singapore 33 4.0k 1.5× 1.1k 0.5× 1.9k 3.5× 504 3.5× 204 1.4× 157 4.4k
Thomas Van Vaerenbergh United States 20 3.4k 1.3× 1.6k 0.6× 1.5k 2.8× 250 1.7× 97 0.7× 82 3.7k

Countries citing papers authored by Mihika Prabhu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Errando-Herranz, Carlos, Samuel Gyger, Mihika Prabhu, et al.. (2024). Cavity-enhanced single artificial atoms in silicon. Nature Communications. 15(1). 5296–5296. 17 indexed citations
3.
Prabhu, Mihika, Carlos Errando-Herranz, Lorenzo De Santis, et al.. (2023). Individually addressable and spectrally programmable artificial atoms in silicon photonics. Nature Communications. 14(1). 2380–2380. 41 indexed citations
4.
Saha, Uday, John Hannegan, Mihika Prabhu, et al.. (2023). Routing Single Photons from a Trapped Ion Using a Photonic Integrated Circuit. Physical Review Applied. 19(3). 6 indexed citations
5.
Saha, Uday, John Hannegan, Mihika Prabhu, et al.. (2022). Routing single photons from a trapped ion with photonic integrated circuits. Conference on Lasers and Electro-Optics. 6. FTh5O.1–FTh5O.1. 1 indexed citations
6.
Prabhu, Mihika, Charles Roques‐Carmes, Yichen Shen, et al.. (2020). Accelerating recurrent Ising machines in photonic integrated circuits. Optica. 7(5). 551–551. 98 indexed citations
7.
Carolan, Jacques, Masoud Mohseni, Jonathan P. Olson, et al.. (2020). Author Correction: Variational quantum unsampling on a quantum photonic processor. Nature Physics. 16(3). 367–367. 2 indexed citations
8.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Trace-free counterfactual communication with a nanophotonic processor. npj Quantum Information. 5(1). 13 indexed citations
9.
Roques‐Carmes, Charles, Yichen Shen, Mihika Prabhu, et al.. (2019). Photonic Recurrent Ising Sampler. Conference on Lasers and Electro-Optics. 1 indexed citations
10.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Genuine Counterfactual Communication with a Nanophotonic Processor. Conference on Lasers and Electro-Optics. FTh4A.3–FTh4A.3. 1 indexed citations
11.
Carolan, Jacques, Jonathan P. Olson, Mihika Prabhu, et al.. (2019). Variational Quantum Unsampling on a Programmable Nanophotonic Processor. Conference on Lasers and Electro-Optics. 86. FTh3A.3–FTh3A.3.
12.
Hamerly, Ryan, Alexander Sludds, Liane Bernstein, et al.. (2019). Towards Large-Scale Photonic Neural-Network Accelerators. 22.8.1–22.8.4. 9 indexed citations
13.
Roques‐Carmes, Charles, Yichen Shen, Mihika Prabhu, et al.. (2019). Photonic Recurrent Ising Sampler. Conference on Lasers and Electro-Optics. 354. FTu4C.2–FTu4C.2. 6 indexed citations
14.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Integrated Photonics for Counterfactual Communication. T5A.51–T5A.51. 1 indexed citations
15.
Harris, Nicholas C., Jacques Carolan, Darius Bunandar, et al.. (2018). Linear programmable nanophotonic processors. Optica. 5(12). 1623–1623. 253 indexed citations
16.
Shen, Yichen, Nicholas C. Harris, Scott A. Skirlo, et al.. (2017). Deep learning with coherent nanophotonic circuits. Nature Photonics. 11(7). 441–446. 2072 indexed citations breakdown →
17.
Harris, Nicholas C., Gregory R. Steinbrecher, Mihika Prabhu, et al.. (2017). Quantum transport simulations in a programmable nanophotonic processor. Nature Photonics. 11(7). 447–452. 327 indexed citations breakdown →
18.
Harris, Nicholas C., Yichen Shen, Gregory R. Steinbrecher, et al.. (2017). Programmable Nanophotonics for Quantum Simulation and Machine Learning. ITu3A.3–ITu3A.3. 1 indexed citations
19.
Harris, Nicholas C., Darius Bunandar, Mihir Pant, et al.. (2016). Large‐scale quantum photonic circuits in silicon. Nanophotonics. 5(3). 456–468. 112 indexed citations
20.
Steinbrecher, Gregory R., Nicholas C. Harris, Jacob Mower, Mihika Prabhu, & Dirk Englund. (2015). Programmable Nanophotonic Processor for Arbitrary High Fidelity Optical Transformations. 22. FW4A.2–FW4A.2. 1 indexed citations

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.

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