Sudeepta Mondal
- Computational Mechanics top 10%
- Mechanical Engineering
- Fluid Flow and Transfer Processes top 10%
- Automotive Engineering top 10%
- Aerospace Engineering
- Co-authors
- Asok RayAmrita BasakAchintya MukhopadhyaySoumalya SarkarJayanta KapatShaunak D. BopardikarMatthew E. LynchSwarnendu Sen
- Topics
- Combustion and flame dynamics (17 papers)Advanced Combustion Engine Technologies (15 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsStatistics, Probability and Uncertainty
- Partner nations
- United StatesIndiaIraq
In The Last Decade
Sudeepta Mondal
34 papers receiving 365 citations
Peers
Comparison fields: 5 of 57
- Computational Mechanics 146
- Mechanical Engineering 126
- Fluid Flow and Transfer Processes 64
- Automotive Engineering 62
- Aerospace Engineering 50
Countries citing papers authored by Sudeepta Mondal
This map shows the geographic impact of Sudeepta Mondal'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 Sudeepta Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeepta Mondal more than expected).
Fields of papers citing papers by Sudeepta Mondal
This network shows the impact of papers produced by Sudeepta Mondal. 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 Sudeepta Mondal. The network helps show where Sudeepta Mondal may publish in the future.
Co-authorship network of co-authors of Sudeepta Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeepta Mondal. A scholar is included among the top collaborators of Sudeepta Mondal 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 Sudeepta Mondal. Sudeepta Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 58 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 14 | |
| 20 | 1 |
About Sudeepta Mondal
Sudeepta Mondal is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 367 indexed citations. Recurring topics across this work include Combustion and flame dynamics (17 papers), Advanced Combustion Engine Technologies (15 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (64 citations), Computational Mechanics (146 citations) and Statistics, Probability and Uncertainty (50 citations). Sudeepta Mondal has collaborated with scholars based in United States, India and Iraq. Frequent co-authors include Asok Ray, Amrita Basak, Achintya Mukhopadhyay, Soumalya Sarkar, Jayanta Kapat, Shaunak D. Bopardikar, Matthew E. Lynch, Swarnendu Sen, Ashesh Chattopadhyay and Paris Perdikaris. Their work appears in journals such as Combustion and Flame, Applied Thermal Engineering and Mechanical Systems and Signal Processing.
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.