Samik Dutta

1.6k total citations
51 papers, 1.2k citations indexed

About

Samik Dutta is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Samik Dutta has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanical Engineering, 16 papers in Computational Mechanics and 11 papers in Biomedical Engineering. Recurrent topics in Samik Dutta's work include Advanced machining processes and optimization (12 papers), Surface Roughness and Optical Measurements (11 papers) and Advanced Surface Polishing Techniques (8 papers). Samik Dutta is often cited by papers focused on Advanced machining processes and optimization (12 papers), Surface Roughness and Optical Measurements (11 papers) and Advanced Surface Polishing Techniques (8 papers). Samik Dutta collaborates with scholars based in India, United States and Hong Kong. Samik Dutta's co-authors include Surjya K. Pal, Ranjan Sen, Sudipta Mukhopadhyay, Srikanta Pal, Debasish Mishra, Anurup Datta, Debashish Chakravarty, S. Mukhopadhyay, Himadri Roy and Naresh Chandra Murmu and has published in prestigious journals such as Progress in Materials Science, Journal of Materials Processing Technology and Wear.

In The Last Decade

Samik Dutta

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samik Dutta India 19 939 412 305 226 212 51 1.2k
Yongqing Wang China 17 677 0.7× 190 0.5× 234 0.8× 259 1.1× 73 0.3× 76 926
Zhenyuan Jia China 22 652 0.7× 201 0.5× 369 1.2× 296 1.3× 194 0.9× 120 1.3k
Yinfei Yang China 20 716 0.8× 173 0.4× 267 0.9× 362 1.6× 76 0.4× 61 1.1k
Dong Gao China 16 713 0.8× 207 0.5× 306 1.0× 279 1.2× 107 0.5× 63 924
John S. Agapiou United States 16 809 0.9× 266 0.6× 297 1.0× 302 1.3× 107 0.5× 40 963
Kuo Liu China 22 1.1k 1.2× 257 0.6× 260 0.9× 458 2.0× 179 0.8× 95 1.4k
Kejia Zhuang China 21 968 1.0× 267 0.6× 414 1.4× 557 2.5× 45 0.2× 73 1.2k
Changcai Cui China 16 537 0.6× 63 0.2× 275 0.9× 534 2.4× 180 0.8× 85 952
Elijah Kannatey‐Asibu United States 22 1.5k 1.6× 236 0.6× 504 1.7× 371 1.6× 339 1.6× 69 1.9k
Y.S. Wong Singapore 20 809 0.9× 383 0.9× 375 1.2× 351 1.6× 114 0.5× 32 1.2k

Countries citing papers authored by Samik Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Samik Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samik Dutta

This figure shows the co-authorship network connecting the top 25 collaborators of Samik Dutta. A scholar is included among the top collaborators of Samik Dutta 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 Samik Dutta. Samik Dutta 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.
Du, Yang, Tuhin Mukherjee, Runsheng Li, et al.. (2025). A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties. Progress in Materials Science. 157. 101587–101587. 1 indexed citations
2.
3.
Dutta, Samik, et al.. (2024). Grain size distribution analysis of MgO and VC inhibited zirconia toughened alumina ceramics using digital image processing. Materials Today Communications. 39. 108665–108665. 4 indexed citations
4.
Banerjee, Abhinandan, et al.. (2024). Investigating the layer-wise arc and melt-pool characteristics of near-substrate wire arc-directed energy deposited NiCrMo-3 alloy using image processing. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering.
5.
Mishra, Debasish, et al.. (2023). In-situ workpiece perception: A key to zero-defect manufacturing in Industry 4.0 compliant job shops. Computers in Industry. 148. 103891–103891. 9 indexed citations
6.
Chakraborty, Shitanshu Shekhar, et al.. (2023). Laser forming of aluminium foam sandwich into a shock-absorbing structural part. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 238(11). 1658–1669.
7.
Dutta, Samik, et al.. (2023). Parametric investigation and optimization in laser based directed energy deposition of tungsten carbide-cobalt. Journal of Laser Applications. 35(4). 2 indexed citations
8.
Dutta, Samik, et al.. (2023). Deciphering the interdependent impact of process parameters in friction stir welding - Part I: an overview of the challenges and way forward. Materials and Manufacturing Processes. 38(11). 1339–1360. 5 indexed citations
9.
Sengupta, S., et al.. (2022). Quantifying corrosion inhibition on mild steel surface using run length statistics-based texture analysis. Journal of Adhesion Science and Technology. 36(23-24). 2505–2526. 6 indexed citations
10.
Dutta, Samik, et al.. (2022). In-situ process reliability monitoring strategy for friction stir welding machine. Materials Today Proceedings. 66. 3883–3889. 7 indexed citations
11.
Chakraborty, Shitanshu Shekhar, et al.. (2022). Investigation on laser forming of open cell aluminum foam. Journal of Laser Applications. 34(3). 3 indexed citations
12.
Chakraborty, Shitanshu Shekhar, et al.. (2022). Laser forming of difficult-to form Al-SiC composite foam – Experimental and numerical analyses. Optics & Laser Technology. 151. 108009–108009. 7 indexed citations
13.
Dutta, Samik, et al.. (2020). Separation of particles in spiral micro-channel using Dean’s flow fractionation. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42(8). 6 indexed citations
14.
Kumari, Kanchan, et al.. (2015). Friction stir weld classification by applying wavelet analysis and support vector machine on weld surface images. Journal of Manufacturing Processes. 20. 274–281. 44 indexed citations
15.
Dutta, Samik, Surjya K. Pal, & Ranjan Sen. (2015). Progressive tool flank wear monitoring by applying discrete wavelet transform on turned surface images. Measurement. 77. 388–401. 48 indexed citations
16.
Dutta, Samik, Surjya K. Pal, & Ranjan Sen. (2015). On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression. Precision Engineering. 43. 34–42. 96 indexed citations
17.
18.
Dutta, Samik, Surjya K. Pal, Sudipta Mukhopadhyay, & Ranjan Sen. (2013). Application of digital image processing in tool condition monitoring: A review. CIRP journal of manufacturing science and technology. 6(3). 212–232. 208 indexed citations
19.
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
20.
Mallik, A.K., S. Gangadhaŕan, Samik Dutta, & D. N. Basu. (2010). Micrometer size grains of hot isostatically pressed alumina and its characterization. Bulletin of Materials Science. 33(4). 445–449. 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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