Neelesh Kumar Sahu

435 total citations
19 papers, 314 citations indexed

About

Neelesh Kumar Sahu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Neelesh Kumar Sahu has authored 19 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Neelesh Kumar Sahu's work include Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (11 papers) and Advanced Surface Polishing Techniques (4 papers). Neelesh Kumar Sahu is often cited by papers focused on Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (11 papers) and Advanced Surface Polishing Techniques (4 papers). Neelesh Kumar Sahu collaborates with scholars based in India. Neelesh Kumar Sahu's co-authors include Atul B. Andhare, Alok Agrawal, Gaurav Gupta, Pramod M. Padole, Rajendra Kumar Shukla, Raghunath S. Thakur, Pranav Singh, R. V. Kshirsagar, D Rajeswari and Ruchi Patel and has published in prestigious journals such as Polymer Composites, Materials and Manufacturing Processes and Materials Today Proceedings.

In The Last Decade

Neelesh Kumar Sahu

15 papers receiving 297 citations

Peers

Neelesh Kumar Sahu

EEE

IME

Sonja Jozić Croatia

Dražen Bajić Croatia

S. Aravind India

Bijaya Bijeta Nayak India

P. K. Sood India

K. Shunmugesh India

S. Senthil Kumar India

Suha K. Shihab Iraq

J. S. Senthilkumaar India

Ramesh Rudrapati India

Sonja Jozić Croatia

Neelesh Kumar Sahu

275 ×1.0

111 ×0.7

EEE

83 ×1.0

74 ×1.4

IME

45 ×1.1

Citations per year, relative to Neelesh Kumar Sahu Neelesh Kumar Sahu (= 1×) peers Sonja Jozić

Countries citing papers authored by Neelesh Kumar Sahu

Since Specialization

Citations

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

Fields of papers citing papers by Neelesh Kumar Sahu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neelesh Kumar Sahu. 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 Neelesh Kumar Sahu. The network helps show where Neelesh Kumar Sahu may publish in the future.

Co-authorship network of co-authors of Neelesh Kumar Sahu

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

All Works

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19 of 19 papers shown

Sahu, Neelesh Kumar, et al.. (2025). Dispersion properties evaluation of copper-based nanoparticles as cutting fluid using Taguchi-based grey relational analysis. Journal of Engineering and Applied Science. 72(1).

Rajeswari, D, et al.. (2024). Advanced Neural Network Approach for Fetal Heart Rate Classification with Multi-Attribute Analysis. 1–6.

Sahu, Neelesh Kumar, et al.. (2024). Machine learning based progressive crack fault monitoring on spur gear using vibration analysis. International Journal of Vehicle Noise and Vibration. 20(1). 89–106. 2 indexed citations

Thakur, Raghunath S., Neelesh Kumar Sahu, & Rajendra Kumar Shukla. (2024). Parametric optimization of dry turning for improved machining of duplex stainless steel (DSS2205) using response surface methodology (RSM) and design of experiments (DOE). Sadhana. 50(1). 1 indexed citations

Sahu, Neelesh Kumar, Ruchi Patel, & Ashok Kumar Verma. (2023). Multiple Linear Regression Model for Prediction of Roughness of Grind Surface. 7. 1–5. 1 indexed citations

Patel, Ruchi, Ashok Kumar Verma, R. V. Kshirsagar, & Neelesh Kumar Sahu. (2023). Alzheimer’s Disease Prediction using SVM Kernal’s with PCA Architecture. 755–759.

Sahu, Neelesh Kumar, et al.. (2021). Integrated AHP-TOPSIS methods for optimization of epoxy composite filled with Kota stone dust. Materials Today Proceedings. 50. 2371–2375. 10 indexed citations

Sahu, Neelesh Kumar, et al.. (2021). Optimization of waste kota stone dust filled epoxy composite by analytical hierarchy process (AHP) approach. Materials Today Proceedings. 50. 1708–1712. 11 indexed citations

Sahu, Neelesh Kumar, et al.. (2021). Physical and mechanical properties of epoxy/Kota stone dust/fly ash hybrid composites for light duty structural applications. Polymer Composites. 43(3). 1566–1576. 13 indexed citations

10.

Sahu, Neelesh Kumar, et al.. (2020). Application of newly developed algorithms for improving surface finish in face milling of Ti-6Al-4V. Materials Today Proceedings. 28. 636–641.

11.

Sahu, Neelesh Kumar & Atul B. Andhare. (2019). Prediction of residual stress using RSM during turning of Ti–6Al–4V with the 3D FEM assist and experiments. SN Applied Sciences. 1(8). 12 indexed citations

12.

Andhare, Atul B., et al.. (2018). Application of advanced algorithms for enhancement in machining performance of Inconel 718. 6 indexed citations

13.

Sahu, Neelesh Kumar & Atul B. Andhare. (2018). Multiobjective optimization for improving machinability of Ti-6Al-4V using RSM and advanced algorithms. Journal of Computational Design and Engineering. 6(1). 1–12. 47 indexed citations

14.

Sahu, Neelesh Kumar, et al.. (2018). Prediction of surface roughness in turning of Ti-6Al-4V using cutting parameters, forces and tool vibration. IOP Conference Series Materials Science and Engineering. 346. 12037–12037. 22 indexed citations

15.

Sahu, Neelesh Kumar, et al.. (2017). Evaluation of performance of nanofluid using multiwalled carbon nanotubes for machining of Ti–6AL–4V. Machining Science and Technology. 22(3). 476–492. 45 indexed citations

16.

Andhare, Atul B., et al.. (2017). Estimation of surface roughness using cutting parameters, force, sound, and vibration in turning of Inconel 718. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(12). 5087–5096. 52 indexed citations

17.

Andhare, Atul B., et al.. (2017). Performance of multi-walled carbon nanotube-based nanofluid in turning operation. Materials and Manufacturing Processes. 32(13). 1490–1496. 45 indexed citations

18.

Sahu, Neelesh Kumar & Atul B. Andhare. (2017). Modelling and multiobjective optimization for productivity improvement in high speed milling of Ti–6Al–4V using RSM and GA. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(12). 5069–5085. 39 indexed citations

19.

Sahu, Neelesh Kumar & Atul B. Andhare. (2015). Optimization of Surface Roughness in Turning of Ti-6Al-4V Using Response Surface Methodology and TLBO. 8 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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