Prashant J. Bagga

531 total citations
17 papers, 392 citations indexed

About

Prashant J. Bagga is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Prashant J. Bagga has authored 17 papers receiving a total of 392 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 8 papers in Biomedical Engineering. Recurrent topics in Prashant J. Bagga's work include Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (11 papers) and Advanced Surface Polishing Techniques (8 papers). Prashant J. Bagga 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 (8 papers). Prashant J. Bagga collaborates with scholars based in India, United States and Russia. Prashant J. Bagga's co-authors include L.G. Austin, Mayur A. Makhesana, Kaushik M. Patel, Mehmet Sabri Çelik, Navneet Khanna, Danil Yurievich Pimenov, Aditya Balu, Jaime Taha‐Tijerina, Khaled Giasin and Ankit D. Oza and has published in prestigious journals such as Powder Technology, The International Journal of Advanced Manufacturing Technology and Journal of Intelligent Manufacturing.

In The Last Decade

Prashant J. Bagga

16 papers receiving 376 citations

Peers

Prashant J. Bagga

WST

EEE

Massimiliano Di Liberto Italy

Seyedeh Fatemeh Nabavi United States

Václav Novotný Czechia

Runbo Jiang United States

Xian-Yan He China

Liehui Xiao China

Weixing Yuan China

M.S. Najiha Malaysia

P. Bhramara India

Massimiliano Di Liberto Italy

Prashant J. Bagga

190 ×0.5

111 ×0.7

WST

195 ×1.4

164 ×1.8

96 ×1.1

EEE

Citations per year, relative to Prashant J. Bagga Prashant J. Bagga (= 1×) peers Massimiliano Di Liberto

Countries citing papers authored by Prashant J. Bagga

Since Specialization

Citations

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

Fields of papers citing papers by Prashant J. Bagga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant J. Bagga. 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 Prashant J. Bagga. The network helps show where Prashant J. Bagga may publish in the future.

Co-authorship network of co-authors of Prashant J. Bagga

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

All Works

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17 of 17 papers shown

Makhesana, Mayur A., et al.. (2024). Comparative analysis of different machine vision algorithms for tool wear measurement during machining. Journal of Intelligent Manufacturing. 36(7). 4567–4591. 12 indexed citations

Bagga, Prashant J., Kaushik M. Patel, Mayur A. Makhesana, et al.. (2023). Machine vision-based gradient-boosted tree and support vector regression for tool life prediction in turning. The International Journal of Advanced Manufacturing Technology. 126(1-2). 471–485. 9 indexed citations

Makhesana, Mayur A., Prashant J. Bagga, Kaushik M. Patel, & Jaime Taha‐Tijerina. (2023). Effects of Machining Parameters of C45 Steel Applying Vegetable Lubricant with Minimum Quantity Cooling Lubrication (MQCL). Lubricants. 11(8). 332–332. 7 indexed citations

Makhesana, Mayur A., et al.. (2023). Investigation on the effect of process parameters and optimization using GRA under biodegradable oil based MQL in machining. International Journal on Interactive Design and Manufacturing (IJIDeM). 18(5). 3133–3144. 2 indexed citations

Makhesana, Mayur A., Kaushik M. Patel, & Prashant J. Bagga. (2023). Machinability investigation of Ti-6Al-4V titanium alloy under dry, flood, MQL and nanofluid-MQL techniques using textured tools. Advances in Materials and Processing Technologies. 10(4). 3202–3215. 9 indexed citations

Bagga, Prashant J., et al.. (2022). Experimental investigation of different NN approaches for tool wear prediction based on vision system in turning of AISI 1045 steel. International Journal on Interactive Design and Manufacturing (IJIDeM). 17(5). 2565–2582. 6 indexed citations

Makhesana, Mayur A., Kaushik M. Patel, & Prashant J. Bagga. (2022). Evaluation of Surface Roughness, Tool Wear and Chip Morphology during Machining of Nickel-Based Alloy under Sustainable Hybrid Nanofluid-MQL Strategy. Lubricants. 10(11). 315–315. 22 indexed citations

Bagga, Prashant J., Mayur A. Makhesana, Kaushik M. Patel, et al.. (2022). Tool life prognostics in CNC turning of AISI 4140 steel using neural network based on computer vision. The International Journal of Advanced Manufacturing Technology. 123(9-10). 3553–3570. 15 indexed citations

Bagga, Prashant J., et al.. (2021). Indirect method of tool wear measurement and prediction using ANN network in machining process. Materials Today Proceedings. 44. 1549–1554. 23 indexed citations

10.

Bagga, Prashant J., et al.. (2021). An online tool life prediction system for CNC turning using computer vision techniques. Materials Today Proceedings. 62. 2689–2693. 5 indexed citations

11.

Bagga, Prashant J., Mayur A. Makhesana, & Kaushik M. Patel. (2021). A novel approach of combined edge detection and segmentation for tool wear measurement in machining. Production Engineering. 15(3-4). 519–533. 31 indexed citations

12.

Bagga, Prashant J., et al.. (2021). Indirect tool wear measurement and prediction using multi-sensor data fusion and neural network during machining. Materials Today Proceedings. 56. 51–55. 15 indexed citations

13.

Bagga, Prashant J., et al.. (2020). Tool wear monitoring in turning using image processing techniques. Materials Today Proceedings. 44. 771–775. 33 indexed citations

14.

Bagga, Prashant J.. (2013). Real Time Depth Computation Using Stereo Imaging. 1(2). 51–51.

15.

Bagga, Prashant J., et al.. (2012). Requirements of Routing Algorithms for Sensor Networks. 1 indexed citations

16.

Austin, L.G. & Prashant J. Bagga. (1981). An analysis of fine dry grinding in ball mills. Powder Technology. 28(1). 83–90. 132 indexed citations

17.

Austin, L.G., Prashant J. Bagga, & Mehmet Sabri Çelik. (1981). Breakage properties of some materials in a laboratory ball mill. Powder Technology. 28(2). 235–243. 70 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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