Niranjan Sahoo

1.6k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Niranjan Sahoo is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Niranjan Sahoo has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 21 papers in Computational Mechanics and 21 papers in Mechanical Engineering. Recurrent topics in Niranjan Sahoo's work include Advanced Sensor Technologies Research (20 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Gas Dynamics and Kinetic Theory (13 papers). Niranjan Sahoo is often cited by papers focused on Advanced Sensor Technologies Research (20 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Gas Dynamics and Kinetic Theory (13 papers). Niranjan Sahoo collaborates with scholars based in India, Japan and United States. Niranjan Sahoo's co-authors include Ujjwal K. Saha, Bibhuti B. Sahoo, Vinayak Kulkarni, K. P. J. Reddy, Debapriya Das, Sanjib Ganguly, G. Jagadeesh, Rakesh Kumar, S. Saravanan and Rishikesh Kumar Singh and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, International Journal of Heat and Mass Transfer and Energy.

In The Last Decade

Niranjan Sahoo

51 papers receiving 1.2k citations

Hit Papers

Effect of engine parameters and type of gaseous fuel on t... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Niranjan Sahoo India 17 592 468 384 325 267 54 1.2k
Desmond E. Winterbone United Kingdom 21 316 0.5× 908 1.9× 662 1.7× 447 1.4× 302 1.1× 67 1.6k
Reza Ebrahimi Iran 19 158 0.3× 236 0.5× 592 1.5× 382 1.2× 135 0.5× 82 1.1k
A.J. Torregrosa Spain 23 516 0.9× 894 1.9× 665 1.7× 541 1.7× 328 1.2× 93 1.7k
Marcelo J. Colaço Brazil 18 277 0.5× 224 0.5× 346 0.9× 194 0.6× 356 1.3× 109 1.3k
Theoklis Nikolaidis United Kingdom 19 125 0.2× 285 0.6× 254 0.7× 542 1.7× 370 1.4× 102 1.3k
Angelo Onorati Italy 27 497 0.8× 1.6k 3.5× 1.5k 3.8× 718 2.2× 285 1.1× 175 2.6k
Wenzhi Gao China 17 117 0.2× 352 0.8× 370 1.0× 211 0.6× 126 0.5× 56 853
Kang Y. Huh South Korea 25 390 0.7× 1.3k 2.8× 1.6k 4.2× 263 0.8× 113 0.4× 109 2.0k
Silong Zhang China 32 673 1.1× 549 1.2× 2.1k 5.4× 1.4k 4.2× 517 1.9× 115 2.9k
Héctor Climent Spain 23 198 0.3× 741 1.6× 380 1.0× 455 1.4× 434 1.6× 92 1.4k

Countries citing papers authored by Niranjan Sahoo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Niranjan Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan Sahoo. A scholar is included among the top collaborators of Niranjan Sahoo 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 Niranjan Sahoo. Niranjan Sahoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Sahoo, Niranjan, et al.. (2025). Inverse prediction of surface heat flux from coaxial thermal probes in a shock tube experiment using ANFIS. International Journal of Thermal Sciences. 218. 110178–110178.
3.
Natarajan, Ganesh, et al.. (2021). Role of solution reconstruction in hypersonic viscous computations using a sharp interface immersed boundary method. Physical review. E. 103(4). 43302–43302. 7 indexed citations
4.
Sahoo, Niranjan, et al.. (2021). Fast response transient behaviour of a coaxial thermal probe and recovery of surface heat flux for shock tube flows. Experimental Thermal and Fluid Science. 127. 110427–110427. 8 indexed citations
5.
Sahoo, Niranjan, et al.. (2021). Soft Computing—A Way Ahead to Recover Heat Flux for Short Duration Experiments. Journal of Thermal Science and Engineering Applications. 14(3). 3 indexed citations
6.
Kulkarni, Vinayak, et al.. (2020). Shock wave boundary layer interactions in hypersonic flows over a double wedge geometry by using conjugate heat transfer. Heat Transfer. 50(1). 801–817. 3 indexed citations
7.
Kulkarni, Vinayak, et al.. (2017). Shock Tube as an Impulsive Application Device. International Journal of Aerospace Engineering. 2017. 1–12. 18 indexed citations
8.
Natarajan, Ganesh, et al.. (2017). A sharp‐interface immersed boundary framework for simulations of high‐speed inviscid compressible flows. International Journal for Numerical Methods in Fluids. 86(12). 770–791. 10 indexed citations
9.
Sahoo, Niranjan, et al.. (2016). Experimental techniques for thermal product determination of coaxial surface junction thermocouples during short duration transient measurements. International Journal of Heat and Mass Transfer. 103. 327–335. 43 indexed citations
10.
Kulkarni, Vinayak, et al.. (2016). Design of Artificial Neuro-fuzzy Based Methodology for Six Component Force Balance. Procedia Engineering. 144. 528–536. 9 indexed citations
11.
Sahoo, Niranjan & Rakesh Kumar. (2015). Performance assessment of thermal sensors during short-duration convective surface heating measurements. Heat and Mass Transfer. 52(9). 2005–2013. 19 indexed citations
12.
Nayak, Janmenjoy, et al.. (2014). GA Based Polynomial Neural Network for Data Classification. 234–239. 2 indexed citations
13.
Sahoo, Niranjan, et al.. (2013). Dynamic Calibration of a Coaxial Thermocouples for Short Duration Transient Measurements. Journal of Heat Transfer. 135(12). 36 indexed citations
14.
Sahoo, Niranjan, et al.. (2012). Analysis of One Dimensional Inverse Heat Conduction Problem : A Review. 126–131. 2 indexed citations
15.
Sahoo, Niranjan, et al.. (2010). Transient surface heating rates from a nickel film sensor using inverse analysis. International Journal of Heat and Mass Transfer. 54(5-6). 1297–1302. 27 indexed citations
16.
Sahoo, Niranjan, et al.. (2010). Design, Fabrication and Calibration of Heat Transfer Gauges for Transient Measurement. 17–23. 9 indexed citations
17.
Sahoo, Niranjan, et al.. (2010). Numerical Methods to Determine Convective Heating Rates on Aerodynamic Surfaces. 1(1). 1–12. 1 indexed citations
18.
Sahoo, Niranjan, S. Saravanan, G. Jagadeesh, & K. P. J. Reddy. (2006). Simultaneous measurement of aerodynamic and heat transfer data for large angle blunt cones in hypersonic shock tunnel. Sadhana. 31(5). 557–581. 24 indexed citations
19.
Sahoo, Niranjan, Vinayak Kulkarni, S. Saravanan, G. Jagadeesh, & K. P. J. Reddy. (2005). Film cooling effectiveness on a large angle blunt cone flying at hypersonic speed. Physics of Fluids. 17(3). 56 indexed citations
20.
Sahoo, Niranjan, et al.. (2005). Dynamic force balances for short-duration hypersonic testing facilities. Experiments in Fluids. 38(5). 606–614. 33 indexed citations

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.

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