D. G. Thakur

1.8k total citations
100 papers, 1.5k citations indexed

About

D. G. Thakur is a scholar working on Mechanical Engineering, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, D. G. Thakur has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanical Engineering, 30 papers in Aerospace Engineering and 29 papers in Electrical and Electronic Engineering. Recurrent topics in D. G. Thakur's work include Advanced machining processes and optimization (19 papers), Aluminum Alloys Composites Properties (18 papers) and Advanced Machining and Optimization Techniques (17 papers). D. G. Thakur is often cited by papers focused on Advanced machining processes and optimization (19 papers), Aluminum Alloys Composites Properties (18 papers) and Advanced Machining and Optimization Techniques (17 papers). D. G. Thakur collaborates with scholars based in India, Saudi Arabia and Czechia. D. G. Thakur's co-authors include B. Ramamoorthy, L. Vijayaraghavan, Mohd. Imran Ansari, P.K. Brahmankar, Nilesh G. Patil, Raju Pawade, Sunil Chandel, Sachin Salunkhe, Samadhan Deshmukh and P. Srinivasa Pai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Journal of Applied Polymer Science.

In The Last Decade

D. G. Thakur

90 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. G. Thakur India 17 1.2k 633 436 378 181 100 1.5k
Wisley Falco Sales Brazil 22 1.5k 1.3× 838 1.3× 653 1.5× 313 0.8× 244 1.3× 41 1.7k
D. Chakradhar India 25 1.6k 1.4× 1.0k 1.6× 651 1.5× 441 1.2× 162 0.9× 68 1.8k
P. M. Gopal India 21 1.1k 0.9× 381 0.6× 244 0.6× 277 0.7× 235 1.3× 56 1.4k
Alakesh Manna India 26 1.8k 1.5× 1.2k 2.0× 939 2.2× 197 0.5× 164 0.9× 91 2.1k
Ramanuj Kumar India 25 1.7k 1.4× 1.0k 1.6× 702 1.6× 321 0.8× 297 1.6× 142 1.9k
Basil Kuriachen India 22 1.7k 1.4× 612 1.0× 452 1.0× 385 1.0× 291 1.6× 102 1.8k
Uğur Köklü Türkiye 27 1.6k 1.4× 825 1.3× 704 1.6× 259 0.7× 317 1.8× 71 1.8k
Giovanna Rotella Italy 18 1.0k 0.9× 286 0.5× 376 0.9× 411 1.1× 297 1.6× 69 1.2k
S. Thirumalai Kumaran India 25 1.5k 1.3× 954 1.5× 895 2.1× 235 0.6× 215 1.2× 124 2.0k
P. Kuppan India 21 1.5k 1.2× 861 1.4× 717 1.6× 233 0.6× 150 0.8× 71 1.6k

Countries citing papers authored by D. G. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by D. G. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. G. Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Thakur. A scholar is included among the top collaborators of D. G. Thakur 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 D. G. Thakur. D. G. Thakur 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.
Bhat, K. Udaya, et al.. (2025). Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91. Results in Engineering. 27. 106256–106256. 1 indexed citations
2.
Deshmukh, Samadhan, et al.. (2025). Experimental investigation on the mechanical properties of aluminum-based metal matrix composites by the squeeze casting method. Journal of the Mechanical Behavior of Materials. 34(1). 2 indexed citations
3.
4.
Chandel, Sunil, et al.. (2024). CFD analysis on the aerodynamic coefficients of an ejection seat system at supersonic speed. SHILAP Revista de lepidopterología. 393. 3002–3002. 2 indexed citations
5.
Thakur, D. G., et al.. (2024). Numerical study on the optimized thickness of layer configuration against the 7.62 APM2 projectile. Frontiers in Mechanical Engineering. 10. 1 indexed citations
6.
7.
Thakur, D. G., et al.. (2024). Investigating the Effect of Abrupt Change in Geometry on Structural Failure of Artillery Projectile 155 mm. Journal of Failure Analysis and Prevention. 24(2). 674–684.
8.
Deshmukh, Samadhan, et al.. (2023). Investigation on Mechanical Properties of AA6061/ TiB2 Metal Matrix Composites Fabricated by Squeeze Casting Process. NanoWorld Journal. 9. 1 indexed citations
9.
Thakur, D. G., et al.. (2023). Experimental and FEA analysis of flexural properties of 3D printed parts. Materials Today Proceedings. 3 indexed citations
10.
Pai, P. Srinivasa, et al.. (2023). Influence of milling parameters on Al-Li alloy surface characteristics. Materials Today Proceedings. 92. 399–405.
11.
Deshmukh, Samadhan, et al.. (2023). Optimization of stir casting process parameters in the fabrication of aluminium based metal matrix composites. Materials Today Proceedings. 6 indexed citations
12.
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
13.
Thakur, D. G., et al.. (2023). Experimental study of effect of infill density on tensile and flexural strength of 3D printed parts. SHILAP Revista de lepidopterología. 70(1). 24 indexed citations
14.
Pai, P. Srinivasa, et al.. (2022). High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters. Defence Science Journal. 72(1). 105–113. 12 indexed citations
15.
Thakur, D. G., et al.. (2021). “Kalpa 1” a new late colour development apple (Malus domestica Borkh.) bud sport originated from cv. Starking Delicious. Genetic Resources and Crop Evolution. 68(6). 2273–2279. 3 indexed citations
16.
Deshmukh, Samadhan, et al.. (2021). An overview of Aluminium Matrix Composites: Particulate reinforcements, manufacturing, modelling and machining. Materials Today Proceedings. 46. 8410–8416. 20 indexed citations
17.
Thakur, D. G., et al.. (2020). Genetic diversity analysis in wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry. 9(6). 117–119.
18.
Thakur, D. G., et al.. (2019). Utilization of principal component analysis in determining selection criteria and selection of superior and diverse inbred lines in maize (Zea mays L.). Journal of Pharmacognosy and Phytochemistry. 8. 671–676. 1 indexed citations
19.
Ansari, Mohd. Imran & D. G. Thakur. (2017). Influence of surfactant: Using electroless ternary nanocomposite coatings to enhance the surface properties on AZ91 magnesium alloy. Surfaces and Interfaces. 7. 20–28. 31 indexed citations
20.
Thakur, D. G., B. Ramamoorthy, & L. Vijayaraghavan. (2009). Optimization of high speed turning parameters of superalloy Inconel 718 material using Taguchi technique. Indian Journal of Engineering and Materials Sciences. 16(1). 44–50. 16 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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