Nitin Ambhore

749 total citations
51 papers, 461 citations indexed

About

Nitin Ambhore is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Nitin Ambhore has authored 51 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanical Engineering, 23 papers in Electrical and Electronic Engineering and 23 papers in Biomedical Engineering. Recurrent topics in Nitin Ambhore's work include Advanced machining processes and optimization (25 papers), Advanced Machining and Optimization Techniques (22 papers) and Advanced Surface Polishing Techniques (19 papers). Nitin Ambhore is often cited by papers focused on Advanced machining processes and optimization (25 papers), Advanced Machining and Optimization Techniques (22 papers) and Advanced Surface Polishing Techniques (19 papers). Nitin Ambhore collaborates with scholars based in India, United States and Hungary. Nitin Ambhore's co-authors include Dinesh Kamble, Satish Chinchanikar, Atul Kulkarni, Chetan P. Nikhare, Ashok Mache, D. R. Pangavhane, Masuk Abdullah, S. Santosh, Rahul Banerjee and Md Irfanul Haque Siddiqui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Alexandria Engineering Journal.

In The Last Decade

Nitin Ambhore

40 papers receiving 428 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 Ambhore India 10 348 202 137 114 46 51 461
Chorng‐Jyh Tzeng Taiwan 6 370 1.1× 249 1.2× 137 1.0× 108 0.9× 26 0.6× 9 454
Robson Bruno Dutra Pereira Brazil 13 398 1.1× 219 1.1× 162 1.2× 108 0.9× 51 1.1× 46 488
Satyanarayana Kosaraju India 15 410 1.2× 208 1.0× 133 1.0× 55 0.5× 91 2.0× 90 614
Ali Mamedov Kuwait 11 326 0.9× 184 0.9× 181 1.3× 81 0.7× 34 0.7× 26 371
M. Kanthababu India 12 339 1.0× 207 1.0× 221 1.6× 52 0.5× 27 0.6× 36 448
Jia Zhixin China 13 335 1.0× 242 1.2× 260 1.9× 64 0.6× 67 1.5× 51 548
Aykut Kentli Türkiye 12 339 1.0× 145 0.7× 167 1.2× 56 0.5× 131 2.8× 37 511
Suman Chatterjee India 15 416 1.2× 272 1.3× 158 1.2× 50 0.4× 78 1.7× 43 551
Blaine Lilly United States 10 489 1.4× 170 0.8× 223 1.6× 198 1.7× 76 1.7× 26 621
M.P. Jenarthanan India 14 364 1.0× 208 1.0× 132 1.0× 52 0.5× 28 0.6× 59 485

Countries citing papers authored by Nitin Ambhore

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Ambhore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Ambhore

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Ambhore. A scholar is included among the top collaborators of Nitin Ambhore 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 Ambhore. Nitin Ambhore 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.
Ambhore, Nitin, et al.. (2025). Investigation of the effect of process parameters on photochemical machining of SS316l for manufacturing vascular stents. Metal Working and Material Science. 27(4). 180–193.
2.
Ambhore, Nitin, et al.. (2025). In the pursuit of educational excellence: investigating CSFs for implementing NEP 2020 to redefine the higher education ecosystem. Journal of Applied Research in Higher Education. 18(2). 372–393. 7 indexed citations
4.
Ambhore, Nitin, et al.. (2025). Laser applications in surface treatment: a comprehensive review. Laser Physics. 35(10). 106101–106101. 1 indexed citations
5.
Ambhore, Nitin, et al.. (2025). Experimental investigation of process parameters in Wire-EDM of Ti-6Al-4 V. Scientific Reports. 15(1). 5652–5652. 4 indexed citations
6.
Abdullah, Masuk, et al.. (2025). Performance evaluation and multi-objective optimization of EDM parameters for Ti6Al4V using different tool electrodes. Scientific Reports. 15(1). 30239–30239. 2 indexed citations
7.
Ambhore, Nitin, et al.. (2025). Sustainable machining: enhancing performance with vegetable oil-based nano cutting fluids. Discover Materials. 5(1). 1 indexed citations
8.
Ambhore, Nitin, et al.. (2024). Investigation of the Effect of Different Fins Configurations on the Thermal Performance of the Radiator. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 116(1). 27–39. 1 indexed citations
9.
Kulkarni, Atul, et al.. (2024). Investigating Thermal Performance of Substrate Board through Forced Convection and Machine Learning. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 124(1). 53–66.
10.
Kamble, Dinesh, et al.. (2024). A predictive system based on experimental study of lubricant blended with composite additives. Tribologia - Finnish Journal of Tribology. 41(3–4). 37–48. 1 indexed citations
11.
Ambhore, Nitin, et al.. (2024). Experimental investigation on the effect of diesel-ethanol blends for a constant-speed diesel engine. International Journal of Ambient Energy. 45(1). 1 indexed citations
12.
Ambhore, Nitin, et al.. (2024). Numerical Optimization for Aerodynamic Performance of Nose Cone of FSAE Vehicle through CFD. CFD letters. 16(11). 161–171.
13.
Ambhore, Nitin, et al.. (2024). Machining performance of SS 304 steel with hybrid nanocutting fluids using Taguchi-based gray relational analysis. JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES. 10290–10302.
14.
Krishnamoorthy, A., Vijaykumar S. Jatti, Nitin Ambhore, et al.. (2023). Fatigue analysis of electro discharge machined Nitinol 60. 10. 2 indexed citations
15.
Kamble, Dinesh, et al.. (2023). Experimental Study on Gear EP Lubricant Mixed with Al2O3/SiO2/ZrO2 Composite Additives to Design a Predictive System. Tribology in Industry. 45(4). 579–590. 9 indexed citations
16.
Ambhore, Nitin, et al.. (2023). Predictive modeling and optimization of dry turning of hardened steel. International Journal on Interactive Design and Manufacturing (IJIDeM). 18(8). 6281–6287. 6 indexed citations
17.
Ambhore, Nitin, et al.. (2021). Polymer Matrix Composite in High Voltage Applications: A Review. Biointerface Research in Applied Chemistry. 12(6). 8343–8352. 8 indexed citations
18.
Ambhore, Nitin & Dinesh Kamble. (2020). EXPERIMENTAL INVESTIGATION OF TOOL WEAR AND INDUCED VIBRATION IN TURNING HIGH HARDNESS AISI52100 STEEL USING CUTTING PARAMETERS AND TOOL ACCELERATION. Facta Universitatis Series Mechanical Engineering. 623–623. 7 indexed citations
19.
Ambhore, Nitin, et al.. (2016). A Review on Tool Wear Monitoring System. 6. 49–53. 19 indexed citations
20.
Ambhore, Nitin, et al.. (2015). Investigation on Cutting Force and Vibration Signals in Turning: Mathematical Modeling Using Response Surface Methodology. 5. 64–68. 6 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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