Mihir K. Bhaskar
- Atomic and Molecular Physics, and Optics top 1%
- Materials Chemistry top 5%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Co-authors
- Denis D. SukachevMikhail D. LukinC. T. NguyenRuffin E. EvansAlp SipahigilHongkun ParkFedor JelezkoMichael J. Burek
- Topics
- Quantum Information and Cryptography (12 papers)Diamond and Carbon-based Materials Research (10 papers)Mechanical and Optical Resonators (10 papers)
- Journals
- NatureSciencePhysical Review Letters
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Mihir K. Bhaskar
21 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Atomic and Molecular Physics, and Optics 1.6k
- Materials Chemistry 1.1k
- Artificial Intelligence 865
- Electrical and Electronic Engineering 586
- Biomedical Engineering 232
Countries citing papers authored by Mihir K. Bhaskar
This map shows the geographic impact of Mihir K. Bhaskar'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 Mihir K. Bhaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihir K. Bhaskar more than expected).
Fields of papers citing papers by Mihir K. Bhaskar
This network shows the impact of papers produced by Mihir K. Bhaskar. 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 Mihir K. Bhaskar. The network helps show where Mihir K. Bhaskar may publish in the future.
Co-authorship network of co-authors of Mihir K. Bhaskar
This figure shows the co-authorship network connecting the top 25 collaborators of Mihir K. Bhaskar. A scholar is included among the top collaborators of Mihir K. Bhaskar 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 Mihir K. Bhaskar. Mihir K. Bhaskar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Entanglement of nanophotonic quantum memory nodes in a telecom networkbreakdown → | 127 |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 10 | |
| 6 | 135 | |
| 7 | 13 | |
| 8 | High-Fidelity Quantum Memory for the Silicon-vacancy Defect in Diamond | 1 |
| 9 | 27 | |
| 10 | Experimental demonstration of memory-enhanced quantum communication | 95 |
| 11 | 125 | |
| 12 | 143 | |
| 13 | 61 | |
| 14 | 190 | |
| 15 | Single-Photon Switching and Entanglement of Solid-State Qubits in an Integrated Nanophotonic System | 1 |
| 16 | The silicon-vacancy spin qubit in diamond: quantum memory exceeding ten milliseconds and single-shot state readout | 3 |
| 17 | 287 | |
| 18 | 216 | |
| 19 | 117 | |
| 20 | 20 |
About Mihir K. Bhaskar
Mihir K. Bhaskar is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (12 papers), Diamond and Carbon-based Materials Research (10 papers) and Mechanical and Optical Resonators (10 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Artificial Intelligence (865 citations) and Materials Chemistry (1.1k citations). Mihir K. Bhaskar has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Denis D. Sukachev, Mikhail D. Lukin, C. T. Nguyen, Ruffin E. Evans, Alp Sipahigil, Hongkun Park, Fedor Jelezko, Michael J. Burek, Marko Lončar and Bartholomeus Machielse. Their work appears in journals such as Nature, Science and Physical Review Letters.
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.