Avradip Mandal
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Industrial and Manufacturing Engineering
- Statistical and Nonlinear Physics
- Nuclear and High Energy Physics
- Co-authors
- Xiaoyuan LiuIlya SafroArnab RoySarvagya UpadhyayJohn C. MitchellMridul NandiTakeshi ShimoyamaHart Montgomery
- Topics
- Complexity and Algorithms in Graphs (2 papers)Cryptography and Data Security (2 papers)Quantum Computing Algorithms and Architecture (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistical and Nonlinear PhysicsNuclear and High Energy Physics
- Journals
- SHILAP Revista de lepidopterologíaComputational Optimization and ApplicationsJournal of the Operations Research Society of Japan
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Avradip Mandal
4 papers receiving 9 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 4
- Atomic and Molecular Physics, and Optics 3
- Industrial and Manufacturing Engineering 3
- Statistical and Nonlinear Physics 2
- Nuclear and High Energy Physics 2
Countries citing papers authored by Avradip Mandal
This map shows the geographic impact of Avradip Mandal'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 Avradip Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avradip Mandal more than expected).
Fields of papers citing papers by Avradip Mandal
This network shows the impact of papers produced by Avradip Mandal. 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 Avradip Mandal. The network helps show where Avradip Mandal may publish in the future.
Co-authorship network of co-authors of Avradip Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Avradip Mandal. A scholar is included among the top collaborators of Avradip Mandal 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 Avradip Mandal. Avradip Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 |
About Avradip Mandal
Avradip Mandal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 9 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (2 papers), Cryptography and Data Security (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (3 citations), Statistical and Nonlinear Physics (2 citations) and Nuclear and High Energy Physics (2 citations). Avradip Mandal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Xiaoyuan Liu, Ilya Safro, Arnab Roy, Sarvagya Upadhyay, John C. Mitchell, Mridul Nandi, Takeshi Shimoyama and Hart Montgomery. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Optimization and Applications and Journal of the Operations Research Society of Japan.
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.