Mukul Shukla

4.3k citations
119 papers · 3.3k indexed · h-index 31

Mukul Shukla

112 papers receiving 3.1k citations

Peers

Mukul Shukla
Comparison fields: 5 of 133
  • Polymers and Plastics 1.1k
  • Biomaterials 959
  • Automotive Engineering 551
  • Mechanical Engineering 1.3k
  • Ecological Modeling 112
Replace M. Barletta with:
M. Barletta Italy
Mrityunjay Doddamani India
Maria Odila Hilário Cioffi Brazil
Herman Jacobus Cornelis Voorwald Brazil
V. Kavimani India
Ian J. Davies Australia
Inderdeep Singh India
Annamaria Gisario Italy
J.T. Winowlin Jappes India
Sofiane Guessasma France
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Citations per field
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M. Barletta · 1×
Citations per year

Countries citing papers authored by Mukul Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Mukul Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mukul Shukla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mukul Shukla Line = papers co-authored together Mukul Shukla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20241
4 20231
5 20214
6 20204
7 20201
8 201931
9 2019117
10 2018182
11
Forming behaviour of steel sheets after mechanical and laser beam forming
20142
12
Revolutionary additive manufacturing : an overview
201434
13
Characterization of Laser Deposited Ti6Al4V/TiC Composite Powders on a Ti6Al4V Substrate
201413
14 201459
15
Genetic Algorithm Based Optimization of Material Removal Rate of Abrasive Waterjet Cutting of Polymer Composites
20132
16
Material efficiency of laser metal deposited TI6AL4V: Effect of laser power
201319
17
Functionally graded material: an overview
2012219
18 201286
19 20111
20
Tensile strength of bamboo across the radial direction
20061

About Mukul Shukla

Mukul Shukla is a scholar working on Ecological Modeling, Polymers and Plastics and Automotive Engineering, having authored 119 papers that have together received 3.3k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (27 papers), Natural Fiber Reinforced Composites (23 papers), Additive Manufacturing and 3D Printing Technologies (22 papers), Titanium Alloys Microstructure and Properties (18 papers), Bone Tissue Engineering Materials (18 papers), High Entropy Alloys Studies (10 papers), Erosion and Abrasive Machining (9 papers) and Advanced machining processes and optimization (8 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Biomaterials (959 citations) and Automotive Engineering (551 citations). Mukul Shukla has collaborated with scholars based in India, South Africa and United Kingdom. Frequent co-authors include K. Obi Reddy, A. Varada Rajulu, Esther T. Akinlabi, Sisa Pityana, C. Uma Maheswari, Rasheedat M. Mahamood, Chetan Swaroop, Tarun Bhardwaj, Kamal Sharma and Edison Muzenda. Their work appears in journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Waste Management.

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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