N.D. Chakladar

693 total citations
29 papers, 516 citations indexed

About

N.D. Chakladar is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, N.D. Chakladar has authored 29 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 8 papers in Mechanics of Materials. Recurrent topics in N.D. Chakladar's work include Advanced machining processes and optimization (12 papers), Advanced Surface Polishing Techniques (7 papers) and Surface Treatment and Residual Stress (7 papers). N.D. Chakladar is often cited by papers focused on Advanced machining processes and optimization (12 papers), Advanced Surface Polishing Techniques (7 papers) and Surface Treatment and Residual Stress (7 papers). N.D. Chakladar collaborates with scholars based in India, United Kingdom and Australia. N.D. Chakladar's co-authors include Shankar Chakraborty, S. Paul, Surjya K. Pal, Parthasarathi Mandal, Amit Choudhary, Prasad Potluri, Anurup Datta, Samik Dutta, Sudipta Mukhopadhyay and Ranjan Sen and has published in prestigious journals such as Corrosion Science, Sensors and Composites Part A Applied Science and Manufacturing.

In The Last Decade

N.D. Chakladar

26 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.D. Chakladar India 12 316 154 124 112 105 29 516
Cahit Kurbanoğlu Türkiye 11 328 1.0× 105 0.7× 113 0.9× 143 1.3× 85 0.8× 17 531
N. Arunkumar India 14 334 1.1× 151 1.0× 123 1.0× 66 0.6× 52 0.5× 54 560
Chiang-Lung Lin Taiwan 4 341 1.1× 143 0.9× 272 2.2× 24 0.2× 101 1.0× 8 496
Suman Chatterjee India 15 416 1.3× 158 1.0× 272 2.2× 70 0.6× 50 0.5× 43 551
Aykut Kentli Türkiye 12 339 1.1× 167 1.1× 145 1.2× 63 0.6× 56 0.5× 37 511
Siva Kumar Mahalingam India 17 353 1.1× 135 0.9× 177 1.4× 38 0.3× 315 3.0× 61 703
Jozef Zajac Slovakia 14 371 1.2× 101 0.7× 87 0.7× 87 0.8× 173 1.6× 81 574
Gilmar Ferreira Batalha Brazil 12 419 1.3× 81 0.5× 53 0.4× 136 1.2× 41 0.4× 86 550
Robson Bruno Dutra Pereira Brazil 13 398 1.3× 162 1.1× 219 1.8× 57 0.5× 108 1.0× 46 488
P. R. Thyla India 14 360 1.1× 135 0.9× 98 0.8× 93 0.8× 54 0.5× 45 575

Countries citing papers authored by N.D. Chakladar

Since Specialization
Citations

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

Fields of papers citing papers by N.D. Chakladar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.D. Chakladar

This figure shows the co-authorship network connecting the top 25 collaborators of N.D. Chakladar. A scholar is included among the top collaborators of N.D. Chakladar 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.D. Chakladar. N.D. Chakladar 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.
Chakladar, N.D., et al.. (2025). Modelling of single grit micro-cutting of Ti-6Al-4V and In-718 with experimental validation. Tribology International. 208. 110661–110661. 3 indexed citations
2.
Chakladar, N.D., et al.. (2025). Role of Peening Medium in Ultrasonic-Assisted Abrasive Peening Process: A Numerical and Experimental Study. Metals and Materials International. 32(3). 791–809.
3.
Chakladar, N.D., et al.. (2025). Influence of weave patterns on tensile, flexural, and short beam shear performance of FRP composites. Journal of Reinforced Plastics and Composites. 1 indexed citations
4.
Chakladar, N.D., et al.. (2025). Modelling and experimental validation of the multi-grit grinding process. International Journal of Mechanical Sciences. 307. 110900–110900.
5.
Pradhan, Shashindra M. & N.D. Chakladar. (2025). Tailoring the composition of quaternary phosphate glass system for suitability in implant application. Ceramics International. 51(19). 29388–29399. 1 indexed citations
6.
Chakladar, N.D., et al.. (2024). Modelling of residual stress during curing of a polymer under autoclave conditions and experimental validation. Computational Materials Science. 241. 113038–113038. 6 indexed citations
7.
Chakladar, N.D., et al.. (2024). Evaluation of tool wear during micro-milling of ultrasonically assisted abrasive peened Ti-6Al-4V. Wear. 552-553. 205450–205450. 8 indexed citations
8.
Chakladar, N.D., et al.. (2024). Influence of ultrasonic-assisted abrasive peening treatment on Ti-6Al-4V and OFHC Cu alloys. Surface and Coatings Technology. 494. 131317–131317. 4 indexed citations
9.
Pal, Surjya K., et al.. (2024). Effect of Carbon Fibre Reinforcement on an Aluminium Metal Matrix Composite Joint Through Upward Friction Stir Processing. Metals and Materials International. 30(11). 3107–3126. 3 indexed citations
11.
Chakladar, N.D., et al.. (2024). Effect of ultrasonic-assisted abrasive peening on near-surface characteristics and electrochemical behaviour of Al-6061 alloy. Corrosion Science. 242. 112563–112563. 3 indexed citations
12.
Chakladar, N.D., et al.. (2023). Tailoring of residual stress by ultrasonic vibration-assisted abrasive peening in liquid cavitation of metallic alloys. International Journal of Machine Tools and Manufacture. 194. 104100–104100. 12 indexed citations
13.
Chakladar, N.D., et al.. (2023). Effect of pre-stress on surface integrity in micro milling: Modelling and experimentation. Journal of Manufacturing Processes. 102. 564–578. 7 indexed citations
14.
Chakladar, N.D., et al.. (2023). Modelling and experimental validation of burr control in micro milling of metals. Materials Today Communications. 35. 106205–106205. 10 indexed citations
15.
Chakladar, N.D., et al.. (2023). Effects of tailored residual stress on micro-end milling: numerical modelling and validation. The International Journal of Advanced Manufacturing Technology. 127(11-12). 5449–5470. 7 indexed citations
16.
Chakladar, N.D., et al.. (2022). A dynamic recrystallization based constitutive flow model for micro-machining of Ti-6Al-4V. Journal of Manufacturing Processes. 77. 463–484. 23 indexed citations
17.
Chakladar, N.D., L.T. Harper, & Andrew J. Parsons. (2016). Optimisation of composite bone plates for ulnar transverse fractures. Journal of the mechanical behavior of biomedical materials. 57. 334–346. 28 indexed citations
18.
Chakladar, N.D., Parthasarathi Mandal, & Prasad Potluri. (2014). Effects of inter-tow angle and tow size on carbon fibre friction. Composites Part A Applied Science and Manufacturing. 65. 115–124. 43 indexed citations
19.
Chakladar, N.D., et al.. (2013). MULTI-SCALE MODELLING OF FIBRE BUNDLES. Research Explorer (The University of Manchester). 1 indexed citations
20.
Dutta, Samik, Anurup Datta, N.D. Chakladar, et al.. (2012). Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique. Precision Engineering. 36(3). 458–466. 79 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026