Abhinav Narasingam
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 16
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- Control Systems and Identification 7
- Advanced Control Systems Optimization 4
- Co-authors
- Joseph Sang‐Il Kwon (18 shared papers)Prashanth Siddhamshetty (5 shared papers)Bhavana Bhadriraju (2 shared papers)Mohammed Saad Faizan Bangi (2 shared papers)Sang Hwan Son (3 shared papers)Eduardo Gildin (1 shared paper)
- Journals
- AIChE Journal (3 papers)Computers & Chemical Engineering (3 papers)Journal of Process Control (2 papers)Industrial & Engineering Chemistry Research (2 papers)International Journal of Control (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Abhinav Narasingam
19 papers receiving 728 citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 280
- Statistics, Probability and Uncertainty 136
- Control and Systems Engineering 350
- Ocean Engineering 138
- Mechanical Engineering 210
Countries citing papers authored by Abhinav Narasingam
This map shows the geographic impact of Abhinav Narasingam'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 Abhinav Narasingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Narasingam more than expected).
Fields of papers citing papers by Abhinav Narasingam
This network shows the impact of papers produced by Abhinav Narasingam. 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 Abhinav Narasingam. The network helps show where Abhinav Narasingam may publish in the future.
Co-authors
The 6 scholars most cited alongside Abhinav Narasingam, 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 | 2017 | 97 | |
| 2 | 2019 | 88 | |
| 3 | 2017 | 78 | |
| 4 | 2020 | 76 | |
| 5 | 2019 | 76 | |
| 6 | 2018 | 65 | |
| 7 | 2018 | 54 | |
| 8 | 2018 | 49 | |
| 9 | 2020 | 44 | |
| 10 | 2021 | 34 | |
| 11 | 2022 | 31 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2018 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2018 | 1 | |
| 19 | Operator Theoretic Model Predictive Control of Moving Boundary Dynamical Systems: Application to Hydraulic Fracturing | 2020 | 1 |
About Abhinav Narasingam
Abhinav Narasingam is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Mechanical Engineering, Statistics, Probability and Uncertainty and Ocean Engineering, having authored 19 papers that have together received 735 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (16 papers), Control Systems and Identification (7 papers), Probabilistic and Robust Engineering Design (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Advanced Control Systems Optimization (4 papers), Nuclear Engineering Thermal-Hydraulics (3 papers) and Hydraulic and Pneumatic Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (280 citations), Statistics, Probability and Uncertainty (136 citations), Control and Systems Engineering (350 citations), Ocean Engineering (138 citations) and Mechanical Engineering (210 citations). Abhinav Narasingam has collaborated with scholars based in United States and South Korea. Frequent co-authors include Joseph Sang‐Il Kwon, Prashanth Siddhamshetty, Bhavana Bhadriraju, Mohammed Saad Faizan Bangi, Sang Hwan Son and Eduardo Gildin. Their work appears in journals such as AIChE Journal, Computers & Chemical Engineering, Journal of Process Control, Industrial & Engineering Chemistry Research and International Journal of Control.
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.