Ish Dhand
Impact in
- Artificial Intelligence top 1%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
Papers in
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- Quantum Information and Cryptography 13
- Quantum Computing Algorithms and Architecture 10
- Neural Networks and Reservoir Computing 8
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- Quantum many-body systems 6
- Atomic and Subatomic Physics Research 2
- Quantum Mechanics and Applications 2
- Co-authors
- Martin B. Plenio (9 shared papers)Trevor Vincent (3 shared papers)Nicolás Quesada (2 shared papers)Jonathan Lavoie (2 shared papers)Lars S. Madsen (2 shared papers)L. G. Helt (2 shared papers)Z. Vernon (2 shared papers)Varun Vaidya (1 shared paper)
In The Last Decade
Ish Dhand
21 papers receiving 1.2k citations
Ish Dhand's Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 935
- Atomic and Molecular Physics, and Optics 740
- Acoustics and Ultrasonics 14
- Computational Mathematics 6
- Instrumentation 20
Countries citing papers authored by Ish Dhand
This map shows the geographic impact of Ish Dhand'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 Ish Dhand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ish Dhand more than expected).
Fields of papers citing papers by Ish Dhand
This network shows the impact of papers produced by Ish Dhand. 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 Ish Dhand. The network helps show where Ish Dhand may publish in the future.
Co-authors
The 25 scholars most cited alongside Ish Dhand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum computational advantage with a programmable photonic processor Hit paper breakdown → | 2022 | 636 |
| 2 | 2017 | 165 | |
| 3 | 2018 | 86 | |
| 4 | 2022 | 72 | |
| 5 | 2021 | 47 | |
| 6 | 2022 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2017 | 31 | |
| 9 | 2022 | 29 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 22 | |
| 12 | 2016 | 17 | |
| 13 | 2014 | 14 | |
| 14 | 2022 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2016 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 4 |
About Ish Dhand
Ish Dhand is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering and Statistical and Nonlinear Physics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (10 papers), Neural Networks and Reservoir Computing (8 papers), Quantum many-body systems (6 papers), Photonic and Optical Devices (6 papers), Optical Network Technologies (2 papers), Atomic and Subatomic Physics Research (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (935 citations), Atomic and Molecular Physics, and Optics (740 citations), Acoustics and Ultrasonics (14 citations), Computational Mathematics (6 citations) and Instrumentation (20 citations). Ish Dhand has collaborated with scholars based in Germany, Canada and Australia. Frequent co-authors include Martin B. Plenio, Trevor Vincent, Nicolás Quesada, Jonathan Lavoie, Lars S. Madsen, L. G. Helt, Z. Vernon, Varun Vaidya, Sae Woo Nam and Matthew J. Collins. Their work appears in journals such as Physical review. A, Journal of Physics A Mathematical and Theoretical, Physical Review Letters, Science Advances and Physical review. B..
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.