Utkarsh Azad
Impact in
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
-
- Quantum-Dot Cellular Automata
Papers in
-
- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 6
- Computational Physics and Python Applications 1
-
- Quantum Mechanics and Applications 2
- Quantum many-body systems 1
- Quantum and electron transport phenomena 1
- Co-authors
- Bikash K. Behera (2 shared papers)Prasanta K. Panigrahi (2 shared papers)Ahmed Farouk (1 shared paper)Harjinder Singh (3 shared papers)Animesh A. Sinha (2 shared papers)Alessandro Roggero (1 shared paper)Juan Miguel Arrazola (1 shared paper)Ritajit Majumdar (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)Quantum Information Processing (1 paper)Chemical Physics (1 paper)Quantum (1 paper)The European Physical Journal Plus (1 paper)
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Utkarsh Azad
9 papers receiving 113 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 93
- Computational Theory and Mathematics 30
- Computational Mathematics 1
- Hardware and Architecture 6
- Atomic and Molecular Physics, and Optics 23
Countries citing papers authored by Utkarsh Azad
This map shows the geographic impact of Utkarsh Azad'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 Utkarsh Azad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Azad more than expected).
Fields of papers citing papers by Utkarsh Azad
This network shows the impact of papers produced by Utkarsh Azad. 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 Utkarsh Azad. The network helps show where Utkarsh Azad may publish in the future.
Co-authors
The 9 scholars most cited alongside Utkarsh Azad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2022 | 14 | |
| 3 | 2022 | 9 | |
| 4 | 2025 | 4 | |
| 5 | 2021 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 1 |
About Utkarsh Azad
Utkarsh Azad is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 9 papers that have together received 115 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers), Quantum-Dot Cellular Automata (2 papers), Quantum Mechanics and Applications (2 papers), Quantum many-body systems (1 paper), Computational Physics and Python Applications (1 paper), Complexity and Algorithms in Graphs (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Artificial Intelligence (93 citations), Computational Theory and Mathematics (30 citations), Computational Mathematics (1 citation), Hardware and Architecture (6 citations) and Atomic and Molecular Physics, and Optics (23 citations). Utkarsh Azad has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Bikash K. Behera, Prasanta K. Panigrahi, Ahmed Farouk, Harjinder Singh, Animesh A. Sinha, Alessandro Roggero, Juan Miguel Arrazola, Ritajit Majumdar and David Wakeham. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Quantum Information Processing, Chemical Physics, Quantum and The European Physical Journal Plus.
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.