Nirbhow Jap Singh
Impact in
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- Hybrid Renewable Energy Systems
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
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- Optimal Power Flow Distribution 8
- Electric Power System Optimization 7
- Energy Load and Power Forecasting 3
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- Advanced Control Systems Design 4
- Co-authors
- J.S. Dhillon (6 shared papers)D. P. Kothari (6 shared papers)Sudhakar Singh (1 shared paper)Michael J. Delwiche (1 shared paper)Jayne Thompson (1 shared paper)Utkal Mehta (1 shared paper)Mohd Asim Aftab (1 shared paper)S. M. Suhail Hussain (1 shared paper)
In The Last Decade
Nirbhow Jap Singh
19 papers receiving 274 citations
Peers
Comparison fields: 5 of 48
- Energy Engineering and Power Technology 43
- Automotive Engineering 90
- Electrical and Electronic Engineering 212
- Control and Systems Engineering 46
- Pollution 17
Countries citing papers authored by Nirbhow Jap Singh
This map shows the geographic impact of Nirbhow Jap 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 Nirbhow Jap Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirbhow Jap Singh more than expected).
Fields of papers citing papers by Nirbhow Jap Singh
This network shows the impact of papers produced by Nirbhow Jap 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 Nirbhow Jap Singh. The network helps show where Nirbhow Jap Singh may publish in the future.
Co-authors
The 15 scholars most cited alongside Nirbhow Jap 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 123 | |
| 2 | 2016 | 57 | |
| 3 | Peach maturity grading with color computer vision | 1992 | 15 |
| 4 | 2018 | 13 | |
| 5 | 2017 | 12 | |
| 6 | Application of Particle Swarm Optimization | 2012 | 11 |
| 7 | 2018 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 6 | |
| 11 | Object Detection in Image Using Particle Swarm Optimization | 2012 | 6 |
| 12 | 2022 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2026 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2016 | 1 |
About Nirbhow Jap Singh
Nirbhow Jap Singh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Atmospheric Science and Environmental Engineering, having authored 19 papers that have together received 283 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (8 papers), Electric Power System Optimization (7 papers), Advanced Control Systems Design (4 papers), Energy Load and Power Forecasting (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Atmospheric aerosols and clouds (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (43 citations), Automotive Engineering (90 citations), Electrical and Electronic Engineering (212 citations), Control and Systems Engineering (46 citations) and Pollution (17 citations). Nirbhow Jap Singh has collaborated with scholars based in India, Japan and Fiji. Frequent co-authors include J.S. Dhillon, D. P. Kothari, Sudhakar Singh, Michael J. Delwiche, Jayne Thompson, Utkal Mehta, Mohd Asim Aftab, S. M. Suhail Hussain, Maurizio Cirrincione and Taha Selim Ustun. Their work appears in journals such as Applied Soft Computing, Applied Sciences, Journal of Vibration and Control, Journal of Modern Power Systems and Clean Energy and Soft Computing.
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.