M.O. Garg

2.2k citations
58 papers · 1.8k indexed · h-index 23

Impact in

Papers in

M.O. Garg

56 papers receiving 1.7k citations

Peers

M.O. Garg
Comparison fields: 5 of 90
  • Renewable Energy, Sustainability and the Environment 316
  • Biomedical Engineering 827
  • Mechanical Engineering 498
  • Materials Chemistry 585
  • Analytical Chemistry 121
Replace Houssam El‐Rassy with:
Houssam El‐Rassy Lebanon
William J. DeSisto United States
Min Xiao China
Shu Wang China
Zhengqiu Yuan China
Sara M. Hashmi United States
Qun Li China
N. Victor Jaya India
Song Hu China
Yanyan Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by M.O. Garg

Since Specialization
Citations

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

Fields of papers citing papers by M.O. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.O. Garg, 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 M.O. Garg Line = papers co-authored together M.O. Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015217
2 2016171
3 2013168
4 2018114
5 201293
6 201274
7 201967
8 201666
9 201553
10 201953
11 202042
12 200640
13 200839
14 201637
15 200137
16 201335
17 200633
18 202032
19 202231
20 201826

About M.O. Garg

M.O. Garg is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Condensed Matter Physics and Inorganic Chemistry, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (13 papers), GaN-based semiconductor devices and materials (9 papers), Petroleum Processing and Analysis (9 papers), Catalysis for Biomass Conversion (9 papers), Zeolite Catalysis and Synthesis (9 papers), Biodiesel Production and Applications (8 papers), Semiconductor materials and interfaces (6 papers) and Graphene research and applications (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (316 citations), Biomedical Engineering (827 citations), Mechanical Engineering (498 citations), Materials Chemistry (585 citations) and Analytical Chemistry (121 citations). M.O. Garg has collaborated with scholars based in India, Japan and Finland. Frequent co-authors include Rajendra Singh, Yogendra Kumar Sharma, Savita Kaul, Pankaj K. Kanaujia, Dinesh Bangwal, Jayati Trivedi, Mounika Aila, Nagabhatla Viswanadham, Bhera Ram Tak and Deependra Tripathi. Their work appears in journals such as Fuel, Petroleum Science and Technology, Applied Radiation and Isotopes, Catalysis Today and Industrial & Engineering Chemistry 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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