Mohinder Pal Garg

694 citations
32 papers · 517 indexed · h-index 13
Topics
Advanced Machining and Optimization Techniques (21 papers)Advanced machining processes and optimization (20 papers)Advanced Surface Polishing Techniques (17 papers)
Partner nations
IndiaUnited StatesChina

In The Last Decade

Mohinder Pal Garg

28 papers receiving 479 citations

Peers

Mohinder Pal Garg
Comparison fields: 5 of 48
  • Mechanical Engineering 366
  • Electrical and Electronic Engineering 287
  • Biomedical Engineering 252
  • Ecological Modeling 79
  • Polymers and Plastics 58
Replace Parvesh Antil with:
Parvesh Antil India
M. Kanthababu India
S. Marichamy India
Dániel István Poór Hungary
A. Velayudham India
Xuanping Wang China
Norberto Feito Spain
I.A. El-Sonbaty Egypt
L. Selvarajan India
Sanjivi Arul India
Mohinder Pal Garg relative to Parvesh Antil India Parvesh Antil's profile →
Citations per field
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Parvesh Antil · 1×
Citations per year

Countries citing papers authored by Mohinder Pal Garg

Since Specialization
Citations

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

Fields of papers citing papers by Mohinder Pal Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohinder Pal Garg. 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 Mohinder Pal Garg. The network helps show where Mohinder Pal Garg may publish in the future.

Co-authorship network of co-authors of Mohinder Pal Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Mohinder Pal Garg. A scholar is included among the top collaborators of Mohinder Pal Garg 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 Mohinder Pal Garg. Mohinder Pal Garg 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
#WorkIndexed citations
1 2
2 0
3 12
4 58
5 3
6 2
7 2
8 7
9 7
10 2
11 0
12 0
13 13
14 23
15 46
16 78
17 15
18 5
19 7
20 13

About Mohinder Pal Garg

Mohinder Pal Garg is a scholar working on Mechanical Engineering, Ecological Modeling and Electrical and Electronic Engineering, having authored 32 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (21 papers), Advanced machining processes and optimization (20 papers) and Advanced Surface Polishing Techniques (17 papers). The work is most often cited by research in Ecological Modeling (79 citations), Mechanical Engineering (366 citations) and Biomedical Engineering (252 citations). Mohinder Pal Garg has collaborated with scholars based in India, United States and China. Frequent co-authors include Vishal Gupta, Rajesh Khanna, Ajai Jain, Gian Bhushan, Anish Kumar, Anand Sharma, Neera Batra, Pulak M. Pandey, Neeraj Sharma and Ajit Pal Singh. Their work appears in journals such as Materials, Industrial Crops and Products and Journal of Nanoparticle Research.

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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