Utkarsh Azad
- Artificial Intelligence top 10%
- Computational Theory and Mathematics
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Bikash K. BeheraPrasanta K. PanigrahiAhmed FaroukHarjinder SinghAnimesh A. SinhaChristopher RackauckasRitajit MajumdarRanjan Anantharaman
- Topics
- Quantum Computing Algorithms and Architecture (9 papers)Quantum Information and Cryptography (6 papers)Quantum Mechanics and Applications (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS Applied Materials & InterfacesIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Utkarsh Azad
13 papers receiving 120 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 94
- Computational Theory and Mathematics 30
- Atomic and Molecular Physics, and Optics 23
- Electrical and Electronic Engineering 15
- Information Systems 15
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-authorship network of co-authors of Utkarsh Azad
This figure shows the co-authorship network connecting the top 25 collaborators of Utkarsh Azad. A scholar is included among the top collaborators of Utkarsh Azad 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 Utkarsh Azad. Utkarsh Azad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 72 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 3 |
About Utkarsh Azad
Utkarsh Azad is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Numerical Analysis, having authored 13 papers that have together received 123 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (94 citations), Computational Theory and Mathematics (30 citations) and Computational Mathematics (1 citation). Utkarsh Azad has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Bikash K. Behera, Prasanta K. Panigrahi, Ahmed Farouk, Harjinder Singh, Animesh A. Sinha, Christopher Rackauckas, Ritajit Majumdar, Ranjan Anantharaman, Alan Edelman and Alessandro Roggero. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and IEEE Transactions on Intelligent Transportation Systems.
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.