Abhyuday Mandal
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Health, Toxicology and Mutagenesis
- Co-authors
- Gauri Sankar DattaSuraj SharmaJie YangJohn StufkenAlexander JonesWeng Kee WongPeter HallNicole A. Lazar
- Topics
- Optimal Experimental Design Methods (18 papers)Advanced Multi-Objective Optimization Algorithms (16 papers)Statistical Methods and Bayesian Inference (6 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- United StatesChinaIndia
In The Last Decade
Abhyuday Mandal
34 papers receiving 470 citations
Peers
Comparison fields: 5 of 120
- Management Science and Operations Research 165
- Statistics and Probability 129
- Computational Theory and Mathematics 112
- Artificial Intelligence 55
- Health, Toxicology and Mutagenesis 53
Countries citing papers authored by Abhyuday Mandal
This map shows the geographic impact of Abhyuday 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 Abhyuday Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhyuday Mandal more than expected).
Fields of papers citing papers by Abhyuday Mandal
This network shows the impact of papers produced by Abhyuday 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 Abhyuday Mandal. The network helps show where Abhyuday Mandal may publish in the future.
Co-authorship network of co-authors of Abhyuday Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Abhyuday Mandal. A scholar is included among the top collaborators of Abhyuday 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 Abhyuday Mandal. Abhyuday 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 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 34 | |
| 6 | 34 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 24 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 56 | |
| 20 | 3 |
About Abhyuday Mandal
Abhyuday Mandal is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 37 papers that have together received 486 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (129 citations), Management Science and Operations Research (165 citations) and Computational Theory and Mathematics (112 citations). Abhyuday Mandal has collaborated with scholars based in United States, China and India. Frequent co-authors include Gauri Sankar Datta, Suraj Sharma, Jie Yang, John Stufken, Alexander Jones, Weng Kee Wong, Peter Hall, Nicole A. Lazar, Joshua Lukemire and Dibyen Majumdar. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage and Technometrics.
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.