Varun Vaidya
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yudan GuoBenjamin LevJonathan KeelingRonen M. KroezeAlicia J. KollárMatthew BaumgartAdriana E. LitaThomas Gerrits
- Topics
- Particle physics theoretical and experimental studies (15 papers)High-Energy Particle Collisions Research (9 papers)Quantum Chromodynamics and Particle Interactions (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsNuclear and High Energy PhysicsArtificial Intelligence
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Varun Vaidya
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Atomic and Molecular Physics, and Optics 865
- Artificial Intelligence 699
- Nuclear and High Energy Physics 347
- Astronomy and Astrophysics 214
- Electrical and Electronic Engineering 209
Countries citing papers authored by Varun Vaidya
This map shows the geographic impact of Varun Vaidya'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 Varun Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Vaidya more than expected).
Fields of papers citing papers by Varun Vaidya
This network shows the impact of papers produced by Varun Vaidya. 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 Varun Vaidya. The network helps show where Varun Vaidya may publish in the future.
Co-authorship network of co-authors of Varun Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of Varun Vaidya. A scholar is included among the top collaborators of Varun Vaidya 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 Varun Vaidya. Varun Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | Quantum computational advantage with a programmable photonic processorbreakdown → | 603 |
| 7 | Single-mode quadrature squeezing using dual-pump four-wave mixing in an integrated nanophotonic device | 3 |
| 8 | 55 | |
| 9 | 1 | |
| 10 | 110 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 164 | |
| 14 | 31 | |
| 15 | 76 | |
| 16 | 0 | |
| 17 | 42 | |
| 18 | 39 | |
| 19 | 5 | |
| 20 | 72 |
About Varun Vaidya
Varun Vaidya is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Astronomy and Astrophysics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (15 papers), High-Energy Particle Collisions Research (9 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (865 citations), Nuclear and High Energy Physics (347 citations) and Artificial Intelligence (699 citations). Varun Vaidya has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Yudan Guo, Benjamin Lev, Jonathan Keeling, Ronen M. Kroeze, Alicia J. Kollár, Matthew Baumgart, Adriana E. Lita, Thomas Gerrits, Z. Vernon and Matthew J. Collins. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.
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.