Nitin Khedkar

601 total citations
36 papers, 448 citations indexed

About

Nitin Khedkar is a scholar working on Mechanical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Nitin Khedkar has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 10 papers in Materials Chemistry and 9 papers in Automotive Engineering. Recurrent topics in Nitin Khedkar's work include Metal Alloys Wear and Properties (8 papers), Advanced machining processes and optimization (8 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). Nitin Khedkar is often cited by papers focused on Metal Alloys Wear and Properties (8 papers), Advanced machining processes and optimization (8 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). Nitin Khedkar collaborates with scholars based in India, Saudi Arabia and Türkiye. Nitin Khedkar's co-authors include Vijaykumar S. Jatti, T.P. Singh, Satish Kumar, Arunkumar Bongale, Chandrakant Sonawane, S. Shankar, A.S. El-Shafay, Suresh Muthusamy, Hitesh Panchal and L. Natrayan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energies.

In The Last Decade

Nitin Khedkar

32 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Khedkar India 11 299 170 105 103 99 36 448
Pablo E. Romero Spain 11 240 0.8× 235 1.4× 146 1.4× 40 0.4× 101 1.0× 44 459
Rajkumar Velu India 13 177 0.6× 226 1.3× 49 0.5× 58 0.6× 185 1.9× 42 459
Pankaj Sonia India 12 449 1.5× 177 1.0× 57 0.5× 112 1.1× 141 1.4× 39 621
Brian Mellor United Kingdom 7 298 1.0× 325 1.9× 108 1.0× 63 0.6× 135 1.4× 10 509
Rūta Rimašauskienė Lithuania 10 300 1.0× 205 1.2× 60 0.6× 76 0.7× 85 0.9× 25 558
Valter Estevão Beal Brazil 13 322 1.1× 370 2.2× 130 1.2× 50 0.5× 143 1.4× 38 566
Sajjad Hussain Hong Kong 7 327 1.1× 311 1.8× 66 0.6× 52 0.5× 163 1.6× 11 574
Avala Raji Reddy India 8 254 0.8× 155 0.9× 33 0.3× 52 0.5× 82 0.8× 38 411
Rossella Surace Italy 11 369 1.2× 151 0.9× 50 0.5× 75 0.7× 85 0.9× 34 442

Countries citing papers authored by Nitin Khedkar

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Khedkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Khedkar

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Khedkar. A scholar is included among the top collaborators of Nitin Khedkar 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 Nitin Khedkar. Nitin Khedkar 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.
Kumbhar, V. S., et al.. (2025). Experimental study of EGR rate on gasoline–diesel and biofueled medium load stationary single-cylinder RCCI engine. Journal of Thermal Analysis and Calorimetry. 150(12). 9549–9560.
2.
3.
Khedkar, Nitin, et al.. (2025). Finite Element Analysis of CM247LC Superalloy for Gas Turbine Blade Application. Engineering Technology & Applied Science Research. 15(1). 19917–19924.
4.
Khedkar, Nitin, et al.. (2024). Surface roughness prediction of AISI D2 tool steel during powder mixed EDM using supervised machine learning. Scientific Reports. 14(1). 9683–9683. 14 indexed citations
5.
Jatti, Vijaykumar S., et al.. (2024). Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers. PLoS ONE. 19(7). e0305744–e0305744. 3 indexed citations
6.
Jatti, Vijaykumar S., Vikas Gulia, Nitin Khedkar, et al.. (2024). Optimization of tensile strength in 3D printed PLA parts via meta-heuristic approaches: a comparative study. Frontiers in Materials. 10. 4 indexed citations
7.
Chandel, Sunil, D. G. Thakur, Róbert Čep, et al.. (2023). Analysis of the aerodynamic characteristics of an ejection seat system using computational fluid dynamics. Frontiers in Mechanical Engineering. 9. 3 indexed citations
8.
Jatti, Vijaykumar S., et al.. (2023). Friction Stir Welding of Dissimilar Materials with Reinforcement of Copper Particulates. Key engineering materials. 941. 3–10. 2 indexed citations
9.
Khedkar, Nitin, et al.. (2023). Experimental, Modal, and Harmonic Response Analysis of a Chladni Plate at Ultrasonic Frequencies. Engineering Technology & Applied Science Research. 13(6). 12289–12294.
10.
Prakash, J. Udaya, S. Jebarose Juliyana, Róbert Čep, et al.. (2023). Parametric optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using Taguchi technique. Frontiers in Mechanical Engineering. 9. 6 indexed citations
11.
Jatti, Vijaykumar S., et al.. (2023). Finite element simulation of electric discharge machining process during machining of NiTi, NiCu and BeCu alloys. Materials Today Proceedings. 4 indexed citations
12.
Jatti, Vijaykumar S., et al.. (2022). Machine Learning Based Predictive Modeling of Electrical Discharge Machining of Cryo-Treated NiTi, NiCu and BeCu Alloys. Applied System Innovation. 5(6). 107–107. 11 indexed citations
13.
Jatti, Vijaykumar S., et al.. (2022). Mechanical Properties of 3D-Printed Components Using Fused Deposition Modeling: Optimization Using the Desirability Approach and Machine Learning Regressor. Applied System Innovation. 5(6). 112–112. 35 indexed citations
14.
Khedkar, Nitin, Chandrakant Sonawane, & Satish Kumar. (2020). Impact analysis of bumper beam to be proposed for Indian passenger cars. Journal of Physics Conference Series. 1706(1). 12169–12169. 2 indexed citations
15.
Kumar, Satish, et al.. (2019). Influence of deep cryogenic cooling on tool wear and surface roughness of coated tungsten carbide inserts using statistical techniques. Materials Research Express. 6(7). 76517–76517. 7 indexed citations
16.
Mohan, Nanjangud, et al.. (2019). Impact of silane treated basalt fibers and montmorillonite nano-clay on polypropylene composites. Materials Research Express. 6(12). 125325–125325. 5 indexed citations
17.
Kumar, Satish, et al.. (2018). Influence of deep cryogenic treatment on dry sliding wear behaviour of AISI D3 die steel. Materials Research Express. 5(11). 116525–116525. 13 indexed citations
18.
Kumar, Satish, et al.. (2018). Deep Cryogenic Treatment of AISI M2 Tool Steel and Optimisation of Its Wear Characteristics Using Taguchi‘s Approach. Arabian Journal for Science and Engineering. 43(9). 4917–4929. 30 indexed citations
19.
Khedkar, Nitin, et al.. (2018). Review of the effect of built orientation on mechanical Properties of metal-plastic composite parts fabricated by Additive Manufacturing Technique. Materials Today Proceedings. 5(2). 3926–3935. 6 indexed citations
20.
Jatti, Vijaykumar S., et al.. (2014). Investigation of the Effect of Built Orientation on Mechanical Properties and Total Cost of FDM Parts. Procedia Materials Science. 6. 1625–1630. 106 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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