D-Index & Metrics Best Publications
Engineering and Technology
India
2022

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 74 Citations 20,653 962 World Ranking 355 National Ranking 7

Research.com Recognitions

Awards & Achievements

2022 - Research.com Engineering and Technology in India Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Quantum mechanics
  • Ecology

His primary scientific interests are in Metallurgy, Microstructure, Composite material, Surface roughness and Ultimate tensile strength. His research in Metallurgy focuses on subjects like Scanning electron microscope, which are connected to Pressure vessel. Pradeep Kumar combines subjects such as Creep and Tempering with his study of Microstructure.

He has included themes like Mechanical engineering, Surface finish, Machining, Engineering drawing and Response surface methodology in his Surface roughness study. His biological study spans a wide range of topics, including Taguchi methods, Structural engineering and Process. He has researched Ultimate tensile strength in several fields, including Indentation hardness and Fracture.

His most cited work include:

  • PARAMETRIC OPTIMIZATION OF POWDER MIXED ELECTRICAL DISCHARGE MACHINING BY RESPONSE SURFACE METHODOLOGY (314 citations)
  • A goal programming model for paper recycling system (282 citations)
  • Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling (222 citations)

What are the main themes of his work throughout his whole career to date?

Pradeep Kumar mainly focuses on Metallurgy, Composite material, Machining, Supply chain and Agronomy. His study in Microstructure, Welding, Ultimate tensile strength, Creep and Alloy falls within the category of Metallurgy. Pradeep Kumar studies Indentation hardness, a branch of Microstructure.

As part of his studies on Machining, Pradeep Kumar frequently links adjacent subjects like Taguchi methods. His work deals with themes such as Risk analysis and Operations management, which intersect with Supply chain. His studies deal with areas such as Surface roughness and Process as well as Mechanical engineering.

He most often published in these fields:

  • Metallurgy (11.79%)
  • Composite material (10.17%)
  • Machining (6.58%)

What were the highlights of his more recent work (between 2017-2021)?

  • Composite material (10.17%)
  • Agronomy (5.83%)
  • Metallurgy (11.79%)

In recent papers he was focusing on the following fields of study:

Pradeep Kumar spends much of his time researching Composite material, Agronomy, Metallurgy, Horticulture and Internal medicine. His Composite material research is mostly focused on the topic Ultimate tensile strength. All of his Agronomy and Crop and Field experiment investigations are sub-components of the entire Agronomy study.

His work in Welding, Creep and Microstructure is related to Metallurgy. His research in Welding is mostly concerned with Gas tungsten arc welding. His Microstructure study frequently links to adjacent areas such as Tempering.

Between 2017 and 2021, his most popular works were:

  • Some studies on P91 steel and their weldments (75 citations)
  • Role of evolving microstructure on the mechanical behaviour of P92 steel welded joint in as-welded and post weld heat treated state (43 citations)
  • Homogenization of P91 weldments using varying normalizing and tempering treatment (38 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Quantum mechanics
  • Ecology

Pradeep Kumar mostly deals with Metallurgy, Composite material, Welding, Microstructure and Speech recognition. Creep, Martensite and Alloy are among the areas of Metallurgy where Pradeep Kumar concentrates his study. His work in Composite material is not limited to one particular discipline; it also encompasses Characterization.

His Welding research integrates issues from Residual stress and Tungsten. The Microstructure study combines topics in areas such as Joint and Tempering. His work carried out in the field of Speech recognition brings together such families of science as Classifier, Gesture and Electroencephalography.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Effect of glucose-insulin-potassium infusion on mortality in patients with acute ST-segment elevation myocardial infarction: The CREATE-ECLA randomized controlled trial

Shamir R. Mehta;Salim Yusuf;Rafael Díaz;Jun Zhu.
JAMA (2005)

895 Citations

Millennium Ecosystem Assessment Synthesis Report

W.V. Reid;H.A. Mooney;A. Cropper;D. Capistrano.
(2005)

641 Citations

PARAMETRIC OPTIMIZATION OF POWDER MIXED ELECTRICAL DISCHARGE MACHINING BY RESPONSE SURFACE METHODOLOGY

H.K. Kansal;Sehijpal Singh;P. Kumar.
Journal of Materials Processing Technology (2005)

534 Citations

A goal programming model for paper recycling system

Rupesh Kumar Pati;Prem Vrat;Pradeep Kumar.
Omega-international Journal of Management Science (2008)

504 Citations

Ecosystems and human well-being - Synthesis: A Report of the Millennium Ecosystem Assessment

W.V. Reid;H.A. Mooney;A. Cropper;D. Capistrano.
(2005) (2005)

436 Citations

Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling

Rajiv Kumar Sharma;Dinesh Kumar;Pradeep Kumar.
International Journal of Quality & Reliability Management (2005)

434 Citations

Risk analysis in green supply chain using fuzzy AHP approach: A case study

Sachin Kumar Mangla;Pradeep Kumar;Mukesh Kumar Barua.
(2015)

414 Citations

Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi's technique—A comparative analysis

Aman Aggarwal;Hari Singh;Pradeep Kumar;Manmohan Singh.
Journal of Materials Processing Technology (2008)

345 Citations

Effect of Silicon Powder Mixed EDM on Machining Rate of AISI D2 Die Steel

H.K. Kansal;Sehijpal Singh;Pradeep Kumar.
Journal of Manufacturing Processes (2007)

300 Citations

Technology and research developments in powder mixed electric discharge machining (PMEDM)

H.K. Kansal;Sehijpal Singh;Pradeep Kumar.
Journal of Materials Processing Technology (2007)

291 Citations

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