Rajarishi Sinha
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Management Science and Operations Research top 10%
- Management of Technology and Innovation top 10%
- Co-authors
- Christiaan J. J. ParedisPradeep K. KhoslaP.K. KhoslaAntonio Díaz-CalderónSatyandra K. GuptaPeter F BrownDipanjan BanerjeeRajendra Singh
- Topics
- Manufacturing Process and Optimization (7 papers)Geochemistry and Geologic Mapping (7 papers)Radioactive element chemistry and processing (5 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rajarishi Sinha
24 papers receiving 309 citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 123
- Control and Systems Engineering 93
- Mechanical Engineering 91
- Management Science and Operations Research 57
- Management of Technology and Innovation 52
Countries citing papers authored by Rajarishi Sinha
This map shows the geographic impact of Rajarishi Sinha'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 Rajarishi Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajarishi Sinha more than expected).
Fields of papers citing papers by Rajarishi Sinha
This network shows the impact of papers produced by Rajarishi Sinha. 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 Rajarishi Sinha. The network helps show where Rajarishi Sinha may publish in the future.
Co-authorship network of co-authors of Rajarishi Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Rajarishi Sinha. A scholar is included among the top collaborators of Rajarishi Sinha 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 Rajarishi Sinha. Rajarishi Sinha 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 | Interpretable sequence learning for COVID-19 forecasting | 9 |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 94 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 17 |
About Rajarishi Sinha
Rajarishi Sinha is a scholar working on Industrial and Manufacturing Engineering, Radiological and Ultrasound Technology and Software, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (7 papers), Geochemistry and Geologic Mapping (7 papers) and Radioactive element chemistry and processing (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (123 citations), Software (35 citations) and Management of Technology and Innovation (52 citations). Rajarishi Sinha has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Christiaan J. J. Paredis, Pradeep K. Khosla, P.K. Khosla, Antonio Díaz-Calderón, Satyandra K. Gupta, Peter F Brown, Dipanjan Banerjee, Rajendra Singh, R. Dhana Raju and Kazuhiro Asakawa. Their work appears in journals such as Water Air & Soil Pollution, Journal of Mechanical Design and Journal of Geochemical Exploration.
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.