Mukesh Chandra

667 total citations
30 papers, 441 citations indexed

About

Mukesh Chandra is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mukesh Chandra has authored 30 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 11 papers in Automotive Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mukesh Chandra's work include Additive Manufacturing Materials and Processes (13 papers), Additive Manufacturing and 3D Printing Technologies (11 papers) and Welding Techniques and Residual Stresses (10 papers). Mukesh Chandra is often cited by papers focused on Additive Manufacturing Materials and Processes (13 papers), Additive Manufacturing and 3D Printing Technologies (11 papers) and Welding Techniques and Residual Stresses (10 papers). Mukesh Chandra collaborates with scholars based in India, United Kingdom and Australia. Mukesh Chandra's co-authors include Sonu Rajak, Somnath Chattopadhyaya, Satish Kumar, K. E. K. Vimal, Sayan Chatterjee, K. Sundareswaran, Siddharth Vats, Praveen Vashist, GVS Murthy and Prabhat Thakur and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, The Journal of the Acoustical Society of America and Journal of Thermal Analysis and Calorimetry.

In The Last Decade

Mukesh Chandra

28 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukesh Chandra India 12 196 83 66 58 56 30 441
Jingjing Yang China 12 54 0.3× 39 0.5× 26 0.4× 11 0.2× 5 0.1× 62 464
Andrzej Niewczas Poland 12 185 0.9× 181 2.2× 50 0.8× 30 0.5× 62 527
Shehar Bano Pakistan 10 220 1.1× 44 0.5× 66 1.0× 13 0.2× 31 460
Pawan Kumar Arora India 12 202 1.0× 117 1.4× 29 0.4× 75 1.3× 41 422
Rajiv Malhotra United States 20 1.2k 6.4× 124 1.5× 12 0.2× 2 0.0× 65 1.2× 45 1.7k
Suhas Deshmukh India 11 173 0.9× 95 1.1× 35 0.5× 1 0.0× 41 0.7× 46 349
Ahmad M. Alghamdi Saudi Arabia 11 541 2.8× 421 5.1× 48 0.7× 53 0.9× 69 842
Guanghui Shi China 10 175 0.9× 156 1.9× 275 4.2× 126 2.3× 31 618
Luis Héctor Hernández-Gómez Mexico 11 125 0.6× 6 0.1× 87 1.3× 3 0.1× 7 0.1× 95 450
Shaohui Chen China 14 211 1.1× 46 0.6× 18 0.3× 10 0.2× 44 582

Countries citing papers authored by Mukesh Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Chandra. A scholar is included among the top collaborators of Mukesh Chandra 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 Mukesh Chandra. Mukesh Chandra 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.
2.
Sharma, Sumit K., et al.. (2025). Enhancing deposition quality in robotic WAAM of aluminium alloy: the role of deposition angle. Progress in Additive Manufacturing. 10(11). 9891–9903.
3.
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Chandra, Mukesh, et al.. (2024). Implementing machine learning in robotic wire arc additive manufacturing for minimizing surface roughness. International Journal of Computer Integrated Manufacturing. 38(2). 255–270. 18 indexed citations
5.
Chandra, Mukesh, et al.. (2023). Mechanical Properties of Wire Arc Additive Manufactured 5356 Aluminum Alloy Wall Using Robotic-Controlled GMAW. Metallography Microstructure and Analysis. 12(6). 999–1008. 3 indexed citations
6.
Chandra, Mukesh, et al.. (2023). Deep learning for anomaly detection in wire-arc additive manufacturing. Welding International. 37(8). 457–467. 3 indexed citations
7.
Chandra, Mukesh, et al.. (2023). Layer-by-layer thermal modelling for wire-arc additive manufacturing of Aluminum alloy wall. Materials Today Proceedings. 113. 120–125. 3 indexed citations
8.
Chandra, Mukesh, Sonu Rajak, & Vimal K.E.K. (2023). Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing. Materials and Manufacturing Processes. 39(6). 761–777. 12 indexed citations
9.
Chandra, Mukesh, K. E. K. Vimal, & Sonu Rajak. (2023). A comparative study of machine learning algorithms in the prediction of bead geometry in wire-arc additive manufacturing. International Journal on Interactive Design and Manufacturing (IJIDeM). 18(9). 6625–6638. 21 indexed citations
10.
Chandra, Mukesh, et al.. (2023). A Machine Learning Approach for Prediction of Surface Temperature of the Weld Region in A-TIG Welding. Transactions of the Indian Institute of Metals. 77(3). 907–917. 3 indexed citations
11.
Chandra, Mukesh, et al.. (2022). Digital technologies, healthcare and Covid-19: insights from developing and emerging nations. Health and Technology. 12(2). 547–568. 57 indexed citations
12.
Chandra, Mukesh, et al.. (2022). Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts. Rapid Prototyping Journal. 28(7). 1297–1311. 38 indexed citations
13.
Chandra, Mukesh, et al.. (2021). Mechanical properties of wire and arc additive manufactured component deposited by a CNC controlled GMAW. Materials Today Proceedings. 56. 2818–2825. 23 indexed citations
14.
Chandra, Mukesh, et al.. (2021). Study of Mechanical and Metallurgical Properties of Cold and Hot Reciprocating Wire TIG Welding on AISI 1035 Carbon Steel. Journal of The Institution of Engineers (India) Series D. 102(1). 159–166. 2 indexed citations
15.
Mehta, Manu, et al.. (2010). Large orbital hydatid cyst presenting as subconjunctival mass. Annals of Tropical Medicine and Parasitology. 104(7). 601–604. 5 indexed citations
16.
Sethi, Sumita, Shibal Bhartiya, Manu Mehta, Mukesh Chandra, & S Ghose. (2009). Hunter's syndrome and buphthalmos in a girl: an unusual ophthalmic association. Acta Ophthalmologica. 87(s244). 0–0. 1 indexed citations
17.
Murthy, GVS, et al.. (2008). Epidemiological study of ocular trauma in an urban slum population in Delhi, India. Indian Journal of Ophthalmology. 56(4). 313–313. 61 indexed citations
18.
Verma, R. K., et al.. (2005). Non-isothermal dehydration and decomposition of dl-lactates of transition metals and alkaline earth metals. Journal of Thermal Analysis and Calorimetry. 80(2). 351–354. 17 indexed citations
19.
Chandra, Mukesh & B. Gera. (1999). Design and development of a parametric sounder for sodar. The Journal of the Acoustical Society of America. 106(4_Supplement). 2197–2197. 1 indexed citations
20.
Chandra, Mukesh, et al.. (1982). An improved piezoelectric ceramic transducer for ultrasonic applications in air. Archives of Acoustics. 7. 281–286. 3 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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