Niranjan Sahoo
Impact in
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies
- Automotive Engineering top 2%
- Vehicle emissions and performance
Papers in
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- Advanced Combustion Engine Technologies 40
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- Combustion and flame dynamics 18
- Fluid Dynamics and Vibration Analysis 12
- Co-authors
- Ujjwal K. SahaBiplab Kumar DebnathBibhuti B. SahooSanjib GangulyVinayak KulkarniDebapriya DasSanjib Kumar PandaDulal Chandra Das
In The Last Decade
Niranjan Sahoo
114 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 87
- Fluid Flow and Transfer Processes 858
- Automotive Engineering 330
- Computational Mechanics 483
- Biomedical Engineering 850
- Energy Engineering and Power Technology 58
Countries citing papers authored by Niranjan Sahoo
This map shows the geographic impact of Niranjan Sahoo'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 Niranjan Sahoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan Sahoo more than expected).
Fields of papers citing papers by Niranjan Sahoo
This network shows the impact of papers produced by Niranjan Sahoo. 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 Niranjan Sahoo. The network helps show where Niranjan Sahoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Niranjan Sahoo, 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 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 29 | |
| 14 | 2017 | 2 | |
| 15 | 2015 | 4 | |
| 16 | 2013 | 20 | |
| 17 | EFFECT OF HYDROGEN-DIESEL QUANTITY VARIATION ON BRAKE THERMAL EFFICIENCY OF A DUAL FUELLED DIESEL ENGINE | 2012 | 24 |
| 18 | 2012 | 31 | |
| 19 | Multi-objective planning of electrical distribution systems using particle swarm optimization | 2009 | 12 |
| 20 | Experiments on a Blunt Cone Model in a Hypersonic Shock Tunnel | 2007 | 2 |
About Niranjan Sahoo
Niranjan Sahoo is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Automotive Engineering and Environmental Engineering, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (40 papers), Biodiesel Production and Applications (24 papers), Combustion and flame dynamics (18 papers), Wind Energy Research and Development (17 papers), Wind and Air Flow Studies (14 papers), Vehicle emissions and performance (14 papers), Fluid Dynamics and Vibration Analysis (12 papers) and Electric Motor Design and Analysis (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (858 citations), Automotive Engineering (330 citations), Computational Mechanics (483 citations), Biomedical Engineering (850 citations) and Energy Engineering and Power Technology (58 citations). Niranjan Sahoo has collaborated with scholars based in India, Malaysia and Singapore. Frequent co-authors include Ujjwal K. Saha, Biplab Kumar Debnath, Bibhuti B. Sahoo, Sanjib Ganguly, Vinayak Kulkarni, Debapriya Das, Sanjib Kumar Panda, Dulal Chandra Das, Kaustubha Mohanty and Jian‐Xin Xu. Their work appears in journals such as Journal of Energy Resources Technology, Physics of Fluids, Energy Conversion and Management, Journal of Energy Engineering and Measurement.
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.