Sonjoy Das
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- Probabilistic and Robust Engineering Design 8
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 8
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- Manufacturing Process and Optimization 3
- Human-Computer Interaction top 10%
- Civil and Structural Engineering top 10%
- Structural Health Monitoring Techniques 3
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- Scientific Research and Discoveries 6
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- Target Tracking and Data Fusion in Sensor Networks 4
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- Composite Material Mechanics 3
- Adhesion, Friction, and Surface Interactions 3
Sonjoy Das
23 papers receiving 372 citations
Peers
Comparison fields: 5 of 70
- Statistics, Probability and Uncertainty 153
- Automotive Engineering 153
- Industrial and Manufacturing Engineering 66
- Human-Computer Interaction 29
- Civil and Structural Engineering 89
Countries citing papers authored by Sonjoy Das
This map shows the geographic impact of Sonjoy Das'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 Sonjoy Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonjoy Das more than expected).
Fields of papers citing papers by Sonjoy Das
This network shows the impact of papers produced by Sonjoy Das. 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 Sonjoy Das. The network helps show where Sonjoy Das may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Sonjoy Das, 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 | 2020 | 3 | |
| 2 | 2018 | 5 | |
| 3 | 2018 | 21 | |
| 4 | 2017 | 49 | |
| 5 | 2016 | 3 | |
| 6 | 2015 | 81 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 5 | |
| 10 | Separation Force Analysis Based on Cohesive Delamination Model for Bottom-Up Stereolithography Using Finite Element Analysis | 2014 | 13 |
| 11 | 2014 | 6 | |
| 12 | 2014 | 3 | |
| 13 | 2012 | 1 | |
| 14 | 2009 | 37 | |
| 15 | 2009 | 9 | |
| 16 | 2009 | 65 | |
| 17 | 2008 | 55 | |
| 18 | 2007 | 5 | |
| 19 | 2007 | 2 | |
| 20 | 2006 | 11 |
About Sonjoy Das
Sonjoy Das is a scholar working on Statistics, Probability and Uncertainty, Automotive Engineering, Statistical and Nonlinear Physics, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers), Scientific Research and Discoveries (6 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Composite Material Mechanics (3 papers), Manufacturing Process and Optimization (3 papers), Structural Health Monitoring Techniques (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (153 citations), Automotive Engineering (153 citations), Industrial and Manufacturing Engineering (66 citations), Human-Computer Interaction (29 citations) and Civil and Structural Engineering (89 citations). Sonjoy Das has collaborated with scholars based in United States. Frequent co-authors include Roger Ghanem, Chi Zhou, Farzad Liravi, James C. Spall, Steven Finette, Hang Ye, Jun Wang, Rahul Rai, Venkat Krovi and Aliakbar Alamdari. Their work appears in journals such as Computer-Aided Design, Journal of Computational Physics, Mechanical Systems and Signal Processing, SIAM Journal on Scientific Computing and Computational Statistics & Data Analysis.
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.