N. Gnanasekaran

840 total citations
51 papers, 574 citations indexed

About

N. Gnanasekaran is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, N. Gnanasekaran has authored 51 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 28 papers in Biomedical Engineering and 27 papers in Computational Mechanics. Recurrent topics in N. Gnanasekaran's work include Nanofluid Flow and Heat Transfer (27 papers), Heat and Mass Transfer in Porous Media (21 papers) and Heat Transfer and Optimization (20 papers). N. Gnanasekaran is often cited by papers focused on Nanofluid Flow and Heat Transfer (27 papers), Heat and Mass Transfer in Porous Media (21 papers) and Heat Transfer and Optimization (20 papers). N. Gnanasekaran collaborates with scholars based in India, Japan and Malaysia. N. Gnanasekaran's co-authors include C. Balaji, Moghtada Mobedi, D. Arumuga Perumal, B.K. Nagesha, P. Ganesan, H.S. Nagaraja, Ajay Kumar Yadav, Tuan Zaharinie, S. Sendhilkumar and Deepak Kumar and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Energy Conversion and Management and Energy.

In The Last Decade

N. Gnanasekaran

51 papers receiving 557 citations

Peers

N. Gnanasekaran

RESE

N. Jamshidi Iran

K. Ting Taiwan

Günter P. Merker Germany

Koushik Ghosh India

Qinglu Song China

H. Yüncü Türkiye

K. Chandan India

Mohammad Reza Shaeri United States

Masoud Asadi Iran

Sławomir Grądziel Poland

N. Jamshidi Iran

N. Gnanasekaran

360 ×0.9

89 ×0.4

328 ×1.3

102 ×1.9

RESE

16 ×0.3

Citations per year, relative to N. Gnanasekaran N. Gnanasekaran (= 1×) peers N. Jamshidi

Countries citing papers authored by N. Gnanasekaran

Since Specialization

Citations

This map shows the geographic impact of N. Gnanasekaran'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 N. Gnanasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Gnanasekaran more than expected).

Fields of papers citing papers by N. Gnanasekaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Gnanasekaran. 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 N. Gnanasekaran. The network helps show where N. Gnanasekaran may publish in the future.

Co-authorship network of co-authors of N. Gnanasekaran

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

All Works

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20 of 20 papers shown

Gnanasekaran, N., et al.. (2025). A novel optimized liquid cooled heat sink integrated with 3D lattice structure under different blockage ratios. International Communications in Heat and Mass Transfer. 163. 108715–108715. 4 indexed citations

Gnanasekaran, N., et al.. (2024). Detailed thermo-hydraulic investigation of 3D octet lattice structure integrated heat sink. International Communications in Heat and Mass Transfer. 160. 108345–108345. 2 indexed citations

Gnanasekaran, N., et al.. (2024). Analyzing the impact of nanofluid flow rate and thermal conductivity on response time in a compact heat spreader-integrated microchannel heat sink. Journal of Thermal Analysis and Calorimetry. 4 indexed citations

Gnanasekaran, N., et al.. (2023). A smart and sustainable energy approach by performing multi-objective optimization in a minichannel heat sink for waste heat recovery applications. Sustainable Energy Technologies and Assessments. 60. 103447–103447. 11 indexed citations

Gnanasekaran, N., et al.. (2023). Thermohydraulic Efficiency of a Solar Air Heater in the Presence of Graded Aluminium Wire Mesh—A Combined Experimental–Numerical Study. Energies. 16(15). 5633–5633. 6 indexed citations

Gnanasekaran, N., et al.. (2023). Integrated microchannel cooling for densely packed electronic components using vanadium pentaoxide (V2O5)-xerogel nanoplatelets-based nanofluids. Journal of Thermal Analysis and Calorimetry. 148(6). 2547–2565. 11 indexed citations

Gnanasekaran, N., et al.. (2022). Investigation on novel inertial minichannel to mitigate maldistribution induced high temperature zones. Energy Conversion and Management. 271. 116300–116300. 9 indexed citations

Gnanasekaran, N., et al.. (2021). Heat transfer optimization using genetic algorithm and artificial neural network in a heat exchanger with partially filled different high porosity metal foam. Materials Today Proceedings. 51. 1642–1648. 19 indexed citations

Gnanasekaran, N., et al.. (2021). Optimum design of heat exchanging device for efficient heat absorption using high porosity metal foams. International Communications in Heat and Mass Transfer. 126. 105475–105475. 24 indexed citations

10.

Gnanasekaran, N., et al.. (2021). Numerical assessment of thermal characteristics of metal foams of orderly varied pore density and porosity under different convection regimes. International Journal of Thermal Sciences. 172. 107288–107288. 13 indexed citations

11.

Gnanasekaran, N., et al.. (2020). Evaluation of artificial neural network in data reduction for a natural convection conjugate heat transfer problem in an inverse approach: experiments combined with CFD solutions. Sadhana. 45(1). 8 indexed citations

12.

Gnanasekaran, N., et al.. (2019). Inverse Approach Using Bio-Inspired Algorithm Within Bayesian Framework for the Estimation of Heat Transfer Coefficients During Solidification of Casting. Journal of Heat Transfer. 142(1). 7 indexed citations

13.

Gnanasekaran, N., et al.. (2018). Inverse approach for estimating boundary properties in a transient fin problem. Sadhana. 43(7). 4 indexed citations

14.

Gnanasekaran, N., et al.. (2018). THE USE OF GA AND PSO FOR THE INVERSE ESTIMATION OF HEAT FLUX IN A CONJUGATE HEAT TRANSFER PROBLEM. 1467–1474. 1 indexed citations

15.

Gnanasekaran, N., et al.. (2018). Flow induced hotspot migration studies with heat spreader integrated microchannels using reduced graphene oxide nanofluids. fed 231 md 66. 1–10. 1 indexed citations

16.

Gnanasekaran, N., et al.. (2018). Effect of thickness and thermal conductivity of metal foams filled in a vertical channel – a numerical study. International Journal of Numerical Methods for Heat & Fluid Flow. 29(1). 184–203. 12 indexed citations

17.

Gnanasekaran, N., et al.. (2016). Numerical Estimation of Heat Flux and Convective Heat Transfer Coefficient in a One Dimensional Rectangular Plate by Levenberg-Marquardt Method. Indian Journal of Science and Technology. 9(45). 3 indexed citations

18.

Gnanasekaran, N., et al.. (2012). Estimation of thermo-physical and transport properties with Bayesian inference using transient liquid crystal thermography experiments. Journal of Physics Conference Series. 395. 12082–12082. 7 indexed citations

19.

Gnanasekaran, N. & C. Balaji. (2010). A Correlation for Nusselt Number Under Turbulent Mixed Convection Using Transient Heat Transfer Experiments. 225–232. 1 indexed citations

20.

Sendhilkumar, S., et al.. (2009). Ontology-based relevance analysis for automatic reference tracking. International Journal of Computer Applications in Technology. 35(2/3/4). 165–165. 5 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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