Jay Singh
Impact in
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- Recycling and Waste Management Techniques
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
Papers in
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- Microgrid Control and Optimization 4
- Co-authors
- C. B. Vishwakarma (4 shared papers)Rafael Auras (3 shared papers)Dong‐Ho Kang (2 shared papers)Koushik Saha (8 shared papers)Keith Vorst (4 shared papers)S. P. Singh (2 shared papers)R. M. Clarke (1 shared paper)Margaret McCartney (1 shared paper)
- Journals
- Packaging Technology and Science (8 papers)Nature Communications (1 paper)Polymer Testing (1 paper)Resources Conservation and Recycling (1 paper)ISA Transactions (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Jay Singh
59 papers receiving 523 citations
Peers
Comparison fields: 5 of 96
- Industrial and Manufacturing Engineering 56
- Control and Systems Engineering 144
- Media Technology 36
- Statistical and Nonlinear Physics 50
- Pollution 43
Countries citing papers authored by Jay Singh
This map shows the geographic impact of Jay Singh'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 Jay Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Singh more than expected).
Fields of papers citing papers by Jay Singh
This network shows the impact of papers produced by Jay Singh. 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 Jay Singh. The network helps show where Jay Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2017 | 53 | |
| 3 | 2016 | 42 | |
| 4 | 2007 | 30 | |
| 5 | 2011 | 21 | |
| 6 | 2010 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2014 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2015 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2014 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2006 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Jay Singh
Jay Singh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanics of Materials, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 66 papers that have together received 551 indexed citations. Recurring topics across this work include Material Properties and Processing (11 papers), Model Reduction and Neural Networks (10 papers), Probabilistic and Robust Engineering Design (6 papers), Recycling and Waste Management Techniques (6 papers), RFID technology advancements (4 papers), QR Code Applications and Technologies (4 papers), Microgrid Control and Optimization (4 papers) and Transport Systems and Technology (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (56 citations), Control and Systems Engineering (144 citations), Media Technology (36 citations), Statistical and Nonlinear Physics (50 citations) and Pollution (43 citations). Jay Singh has collaborated with scholars based in India, United States and Canada. Frequent co-authors include C. B. Vishwakarma, Rafael Auras, Dong‐Ho Kang, Koushik Saha, Keith Vorst, S. P. Singh, R. M. Clarke, Margaret McCartney, Kalyan Chatterjee and Vikas Singh Bhadoria. Their work appears in journals such as Packaging Technology and Science, Nature Communications, Polymer Testing, Resources Conservation and Recycling and ISA Transactions.
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.